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Microdata User Guide LONGITUDINAL SURVEY OF IMMIGRANTS

1. 469 456 140 58 5 Table 5 4 Final Sample Allocation at Wave 1 Province Family Economic Economic Government Other skilled business refugee Refugee Alberta 531 928 osf 234 0 121 293 1633 744 225 20322 EN 59 Canada 5328 10857 0 928 225 7 825 14 Special Surveys Division 6 0 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Data Collection 6 1 Computer assisted Interviewing Data collection for the Longitudinal Survey of Immigrants to Canada LSIC relied heavily on computer assisted interviewing CAI technology The use of CAI technology allows for high quality collection of complex population specific content sections For example the system facilitates the collection of the relationships of all household members to each other i e the relationship grid This wealth of information will enable a detailed analysis of family structures an important concept for analysis This type of collection would be very difficult to implement in a paper and pencil environment The CAI system has two main parts 1 Case Management The Case Management system controls the case assignment and data transmission for the survey For this survey a case refers to an individual selected for the LSIC sample The Case Management system also automatically records management information for each contact or attempted contact with respondents and provides reports fo
2. How they are coded The open ended questions were coded using various standard classifications Occupation questions were coded using the 1991 Standard Occupational Classification codes SOC and the industry questions were coded using the 1997 North American Industry Classification System NAICS Variables asking about the major field of study in the Education Module were coded using a code set called Major Field of Study MFS Survey specific code sets were developed in order to code questions such as the two examples from the Perceptions of Settlement Module 7 3 2 Coding of Census Type Variables A few of the LSIC questions were also asked in the 2001 Census These include questions on country of birth country of citizenship language religion ethnic group and visible minority How they are recorded For most of these questions a pick list was included in the questionnaire In many cases the Other Specify category was chosen by interviewers and a text entry was recorded Special Surveys Division 21 22 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide How they are coded At Head Office each of these questions were coded using the corresponding Census code set in order to match the 2001 Census data dictionary The groupings resulting from the coding were then perfectly comparable with Census data released recently 7 3 3 Coding of Other Specify Answers In the LSIC Wave 1 questionnaire sev
3. Microdata User Guide LONGITUDINAL SURVEY OF IMMIGRANTS TO CANADA Wave 1 Sa La Eel xus mun Canada ii Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Table of Contents 1 0 2 0 3 0 4 0 5 0 6 0 7 0 8 0 9 0 MIVTO GUI CTIONN Pec E 1 Backgro nd 525 ceteri T E 3 eJ ppc US 5 Concepts and Definitions 1 aea etena etuer rursum cc eene idera De cu de aaa aea He detecdasenuee 7 Survey Methodology 5 orc Licence earn Lees uana v aene orta era pde nuo a cue ca ade uuo E s 11 5j Target Population ede ei eerte bed EHRRE certe egeret bein eps 11 5 2 Survey Frame cie deed idide Ene e dava cu iiaii edu ee ea ic 11 BBs Sutvey DESIGN ut ne th e eret e ur idet t er ara aaa Dritte Pr Ea 11 5 3 1 Longitudinal Sample ssssssssssssssssesesee entente nennen nes 12 513 2 Stratification uii pere bp ete fe Eee Peer RE Lees 12 5 4 Sample Selection and Sample Size ssssssssssssse eene 12 Data COll Ctiom mee 15 6 1 Computer assisted Interviewing sss enne nnns 15 6 2 Goll cti ns e aene e rait e termina tra aro itis en ads 16 Data Processihg cen ei lee cet cdot edenece A pan noe urea eoe e Ro lose ias 19 7 1 Jnitial Application
4. 25 34 35 44 Table 10 3 Sex Male Female Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Table 10 4 Place of Birth Central Africa Eastern Africa Southern Africa Northern Africa 1 Africa Western Africa Caribbean and Bermuda Central America Northern America 2 America Southern America Southeast Asia 3 Asia Southern Asia West Central Asia and Middle East Eastern Europe Northern Europe 4 Europe Southern Europe Western Europe Table 10 5 Class of Immigrant Economic skilled worker Economic business independent and other independent Refugees government sponsored Refugees other The variables are cross tabulated except in the following situations Special Surveys Division For Oceania there is only one other cross tabulation Family versus all other immigration classes collapsed together There is neither sex nor age grouping for the post stratification For Government Sponsored Refugees the age groups 35 to 44 years and 45 years and over are collapsed For Other Refugees there is neither sex nor age grouping for the post stratification For Family class of immigrants from Africa age 35 to 44 years sex was collapsed For Economic Business Independent and Other Independent from America there is no age grouping for the post stratification 45 Longitudinal Survey of Immigrants to Canada Wave 1 Use
5. 98 909 Kanada 4420 oora 939 55e aoet 1351 165012 1 By reliable estimates we mean being able to estimate a minimal proportion of 1096 with a coefficient of variation of 16 5 A cell size of 450 responding units is necessary to meet this requirement 2 Given operational constraints namely the requirement and associated costs to translate the questionnaire in several languages a study has been performed to identify the population coverage according to languages It has been determined that the translation could be performed in 13 languages other than English or French and that it would allow a national coverage of around 93 of landed immigrants 3 The 1996 RRC study was undertaken following the 1996 Census to estimate Census under coverage This study makes use of an immigrant frame that covers immigrants who landed in Canada between the 1991 and 1996 censuses Special Surveys Division 13 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Table 5 2 Expected Allocation of Respondents in Wave 3 Core Sample Economic Economic Government Other skilled business refugee Refugee 74 155 7 Total 5 000 Family Other provinces eZ a 3 e vs 55 Table 5 3 Expected Allocation of Respondents in Wave 3 Core and Additional Samples Total skilled business refugee Refugee Alberta fo 194 2831 836 447 X 9 X e 488 255 Canada 1 606 3 026
6. Dominican Republic Grenada Haiti Jamaica Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Trinidad and Tobago Argentina Bolivia Brazil Chile Colombia Ecuador Guyana Paraguay Peru Suriname Special Surveys Division 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 Uruguay Venezuela Austria Belgium France Germany Liechtenstein Luxembourg Monaco Netherlands Switzerland Bulgaria Czechoslovakia N I E Czech Republic Estonia Hungary Latvia Lithuania Poland Romania Slovakia U S S R N I E Belarus Republic of Moldova Russian Federation Ukraine Republic of Ireland EIRE United Kingdom British Dependent Territories United Kingdom British Citizens Denmark Finland 87 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 88 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Iceland Norway Sweden Albania Andorra Bosnia and Herzegovina Croatia Greece Italy Macedonia Former Yugoslav Republic of Macedonia Malta Portugal San Marino Slovenia Spain Vatican City State Yugoslavia Benin Burkina Faso Cape Verde C te d lvoire Gambia Ghana Guinea Guinea Bissau Liberia Mali Mauritania Niger Nigeria Senegal Sierra Leone Togo Burundi Comoros D
7. Editing itte atet aetema OT 19 7 2 Minimum Completion Requirement cccccceceeeeeeeeeceeeeeeeeeeceaeeeeaaeseeeeeseaeeeseaeeseeeseaes 20 TE E Eo e o E E oe 21 7 9 1 Coding of Open ended Questions sssssssseeeeees 21 7 3 2 Coding of Census Type Variables sse 21 7 9 8 Coding of Other Specify Answers 22 7 4 Head Office Editing he hene ati t feet reed 22 o JBata Model Structure ehe it Ed ete et ha End bd Pen ee PUE fee 23 Lok File Str cture itd etc Der eae decas eoe aw edes eee 24 7 6 Constructing Custom DataSets nsise ianen aaa an a entren nennen 26 44 T Gonsistency Edit ateraia daiar adaa pidiendo edu tales 27 7 8 Naming Convention snesena a iiia a iaa 28 7 9 Derived Variables nce ed eet ae ex e eee te 30 NON FESPONSE Mee DLE 31 8 1 Definitions of Responding Unit nennen nennen 31 WIMP URAL ON onec US 35 9 1 Mass Imputation sarena A PE ur ERR ER aide deeds 35 9 2 Imputation for Income and Other Quantitative Variables esseesessssss 36 Special Surveys Division iii 10 0 12 0 13 0 14 0 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Treatment of Total Non response and Weighting eere 39 10 1 Representativity of the Weights sssesseeeneeenn nennen nennen 39 10 2 Overview of the Weight Adjustments nnne 39 10 3 Longitudinal Weighting for Responding
8. In Wave 1 coding was an important task of processing Three different levels of coding were done open ended questions census type of questions and text recorded in the Other Specify fields Given the number of new categories that were added to questions during the coding step coding was done before the pre edit step in order to minimize adjustments to the pre edit and flow edits stages 7 3 1 Coding of Open ended Questions A few data items on the LSIC questionnaire were recorded by interviewers in an open ended format For example in the Employment Module a LR who had worked since they arrived in Canada was asked a series of open ended questions about each job they have held What kind of business industry or service is was it What kind of work do did you do in this job nthis job what are were your most important duties In the Perceptions of Settlement Module the last two questions were What is the single most useful thing that was done to help you settle in Canada Whatis the single most useful thing that could have been done to help you settle in Canada How they are recorded The interviewer recorded in words the answer provided by the respondent to these questions At Head Office these written descriptions were converted into codes e g industry or occupation to make the data comparable These codes only have one valid description in English and in French to ensure for consistency and comparability
9. System Industrial Electricians Power System Electricians Electrical Power Line and Cable Workers Telecommunications Line and Cable Workers Telecommunications Installation and Repair Workers Cable Television Service and Maintenance Technicians Stationary Engineers and Auxiliary Equipment Operators Power Systems and Power Station Operators Machinists and Machining and Tooling Inspectors Tool and Die Makers Sheet Metal Workers Boilermakers Structural Metal and Platework Fabricators and Fitters Ironworkers Blacksmiths and Die Setters Construction Millwrights and Industrial Mechanics except Textile Heavy Duty Equipment Mechanics Special Surveys Division H413 H414 H415 H416 H417 H418 H421 H422 H431 H432 H433 H434 H435 H511 H512 H513 H514 H521 H522 H523 H531 H532 H533 H534 H535 H611 H612 H621 Refrigeration and Air Conditioning Mechanics Railway Carmen women Aircraft Mechanics and Aircraft Inspectors Machine Fitters Textile Machinery Mechanics and Repairers Elevator Constructors and Mechanics Motor Vehicle Mechanics Technicians and Mechanical Repairers Motor Vehicle Body Repairers Oil and Solid Fuel Heating Mechanics Electric Appliance Servicers and Repairers Electrical Mechanics Motorcycle and Other Related Mechanics Other Small Engine and Equipment Mechanics Upholsterers Tailors Dressmakers Furriers and Milliners Shoe Repairers a
10. This consent allowed Statistics Canada to obtain access to tracing related information from health card records of all provincial health departments with the exception of Nova Scotia This source of information was considered to be the most current address information for the respondents Special Surveys Division 15 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Longitudinal Respondent Contact The first contact was established with these households using the address and telephone number provided on the sample file by Head Office The interviewer confirmed that the respondent lived at that address Once it was established that the interviewer was speaking to the correct person further steps were taken to ensure it was the proper respondent Verification of respondent was done in two ways matching of birth date and landing date Once the interviewer verified they had the correct respondent the interviewer confirmed or updated the contact information mailing and residence address telephone number as well as the list of household members An appointment was then made to continue the interview in person If the interviewer was unable to locate the respondent the case was transferred to the trace folder which was then transferred to a designated tracing team in the regional offices for further follow up Tracing Respondents Within the regional offices designated tracing teams followed up with further tracing Source
11. join spouse oem eme eme oot Weve tare 0000000 s Deheivrabe O O O 7 9 The ninth derived variable on the Employment file Number of days of all jobless spells Special Surveys Division 29 30 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 79 Derived Variables Combining Items A number of variables have been derived by combining questions on the questionnaire in order to facilitate data analysis For example in the Employment Module one of the questions is on labour force status since landing in Canada em1d003 This variable uses two questions Since you came to Canada have you worked at a job or business em1q047 and if not Since you came to Canada have you looked for work em1q048 Where to find the Derived Variables on the Files With the exception of the Longitudinal Respondent s entity which is mostly comprised of derived variables the derived variables are usually placed after the questions in each entity to which they belong The aggregated type of derived variables for example number of credentials reported number of places lived in before current place can be found on the main file for example number of credentials will be on the Education entity Derived Variable Name All derived variables on the LSIC data files have a d as the fourth character of the variable name For example the name of the variable for the Total hours per week currently in class or train
12. 10 or more and low coefficients of variation in the range of 0 096 16 596 No warning is required Estimates have a sample size of 10 or more and high coefficients of variation in the range of 16 696 33 396 Estimates should be flagged with the letter M or some similar identifier They should be accompanied by a warning to caution subsequent users about the high levels of error associated with the estimates Estimates have a sample size of less than 10 or very high coefficients of variation in excess of 33 396 Statistics Canada recommends not to release estimates of unacceptable quality However if the user chooses to do so then estimates should be flagged with the letter U or some similar identifier and the following warning should accompany the estimates Please be warned that these estimates flagged with the letter U do not meet Statistics Canada s quality standards Conclusions based on these data will be unreliable and most likely invalid Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 13 0 Variance Calculation The Longitudinal Survey of Immigrants to Canada LSIC is a probabilistic survey i e a sample has been selected to represent the target population A given variability is inherent in any random selection This variability is known as the sampling error as described in Section 11 1 In addition adjustments have been made to take into account non
13. 202 300 996 997 998 999 Singapore Thailand Vietnam Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka East Timor Australia Fiji Kiribati Marshall Islands Federated States of Micronesia Nauru New Zealand Palau Papua New Guinea Solomon Islands Tonga Tuvalu Vanuatu Samoa French responses Stateless Canada Valid skip Don t know Refused Not stated 89 90 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Special Surveys Division 0013 0014 0015 0016 0111 0112 0113 0114 0121 0122 0123 0131 0211 0213 0311 0611 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Appendix V Intended occupation codes based on the National Occupational Classification NOC 2001 Only codes present in Wave 1 of the Longitudinal Survey of Immigrants to Canada are Senior Managers Financial Communications and Other Business Services Senior Managers Health Education Social and Community Services and Membership Organizations Senior Managers Trade Broadcasting and Other Services n e c Senior Managers Goods Production Utilities Transportation and Construction Financial Managers Human Resources Managers Purchasing Managers Other Administrative Services Managers Insurance Real Estate and Financial Brokerage Managers Banking Credit and Other Investment Managers Other Business Services Managers
14. Ferrous Metal except Aluminum Production and Processing Foundries Forging and Stamping Cutlery and Hand Tool Manufacturing Architectural and Structural Metals Manufacturing Boiler Tank and Shipping Container Manufacturing Hardware Manufacturing Spring and Wire Product Manufacturing Machine Shops Turned Product and Screw Nut and Bolt Manufacturing Coating Engraving Heat Treating and Allied Activities Other Fabricated Metal Product Manufacturing Agricultural Construction and Mining Machinery Manufacturing Industrial Machinery Manufacturing Commercial and Service Industry Machinery Manufacturing Ventilation Heating Air Conditioning and Commercial Refrigeration Equipment Manufacturing Metalworking Machinery Manufacturing Engine Turbine and Power Transmission Equipment Manufacturing Other General Purpose Machinery Manufacturing Computer and Peripheral Equipment Manufacturing Communications Equipment Manufacturing Audio and Video Equipment Manufacturing Special Surveys Division 3344 3345 3346 3351 3352 3353 3359 3361 3362 3363 3364 3365 3366 3369 3371 3372 3379 3391 3399 4111 4121 4131 4132 4133 4141 4142 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Semiconductor and Other Electronic Component Manufacturing Navigational Measuring Medical and Control Instruments Manufacturing Manufacturing and Reproducin
15. Guide 621 Burundi 622 Comoros 623 Djibouti 624 Eritrea 625 Ethiopia 626 Kenya 627 Madagascar 628 Malawi 629 Mauritius 630 Mayotte 631 Mozambique 632 Reunion 633 Rwanda 634 Seychelles 635 Somalia 636 United Republic of Tanzania 637 Uganda 638 Zambia 639 Zimbabwe 640 Eastern Africa N O S 651 Algeria 652 Egypt 653 Libya 654 Morocco 655 Sudan 656 Tunisia 657 Western Sahara 658 Northern Africa N O S 661 Angola 662 Cameroon 663 Central African Republic 664 Chad 665 Republic of the Congo 666 Equatorial Guinea 667 Gabon 668 Sao Tome and Principe Special Surveys Division 669 670 681 682 683 684 685 686 696 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 Democratic Republic of the Congo Zaire Central Africa Botswana Lesotho Namibia Republic of South Africa Swaziland Southern Africa Africa N O S Afghanistan Cyprus Iran Turkey Bahrain Iraq Israel Jordan Kuwait Lebanon Oman Palestine Qatar Saudi Arabia Syria United Arab Emirates West Bank Gaza Strip Yemen Middle East N O S Armenia Azerbaijan Georgia Kazakhstan Kyrgyzstan Tajikistan Turkmenistan Uzbekistan 85 728 731 732 733 734 735 736 737 738 739 740 741 751 752 753 754 755 756 757 758 759 760 761 771 772 773 774 775 776 777 778 781 782 786 801 802 86 L
16. Immigrants eeene 41 10 3 1 Design Weight iiir erede rper erbe Hee pedet a eR ATE 42 10 3 2 Non response and Unresolved Adjustment Weights sesessss 43 10 3 3 Post stratification innana sa OR E EATE EE AE 44 10 3 4 Adjustment Classes Homogeneous Groups cccceceeeceeeeeeeeseeeeeeeseeeeeeeeees 46 Data Quality and Coverage cssccsseceeeeeeseeeeesneeeneeeeeeeneesaeseseeeeesaeeesaeseseeeeneeeeseeseseaesesneeeeaes 47 Thi Sampling Errors ciet thee ertet dieci bent notare ite vit Paus 47 11 2 Non samplirig EtTOIs s iari UD ERR ER rei PRX DEED EROR aiti y n 48 11 3 Non response and Unresolved Cases sssssssssssseeeseeeeeee nennen 48 E eT 49 Guidelines for Tabulation Analysis and Release aeree 51 12 1 Rounding Guidelines essent enses 51 12 2 Sample Weighting Guidelines for Tabulation sssseeeeee 52 12 3 Definitions of Types of Estimates Categorical and Quantitative ssse 52 12 3 1 Tabulation of Categorical Estimates ssssssssseeeeeeene 53 12 3 2 Tabulation of Quantitative Estimates sess 53 12 4 Guidelines for Statistical Analysis sssssssssssssseseseeeeeee enne 54 12 5 Coefficient of Variation Release Guidelines seen 55 Variance Calculatio
17. Longitudinal respondent s personal in1i007 12 040 355 2 9596 income from all sources Special Surveys Division 37 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 10 0 Treatment of Total Non response and Weighting The Longitudinal Survey of Immigrants to Canada LSIC is a probability survey As is the case with any probability survey the sample is selected to represent a reference population the immigrant population at a specific date within the context of the survey as accurately as possible Each unit in the sample must therefore represent a certain number of units in the population If all selected units were traced contacted and completed and if the frame used was perfect covering exactly the population of interest then the design weight assigned to each unit would represent accurately and exactly the number of immigrants in the target population In this situation using this weight would yield unbiased estimates However this is not the case when surveys are faced with non response unresolved untraceable units and imperfect frames Weight adjustments are traditionally used to compensate for these different issues 10 1 Representativity of the Weights For most surveys the sum of the final weights represents the estimated target population counts which usually equate to the population of interest However in the case of the LSIC because of the mobility of the population and the survey objectives Chapter
18. Ontario 475 amp over 120 to lt 475 under 120 British Columbia under 140 Special Surveys Division 63 64 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 14 0 Record Layout with Univariate Frequencies Available in the Research Data Centres only Special Surveys Division 65 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Appendix I Industry Codes North American Industry Classification System NAICS 1997 Industry groups 1111 1112 1113 1114 1119 1121 1122 1123 1124 1125 1129 1131 1132 1133 1141 1142 1151 1152 1153 2111 2121 2122 2123 2131 2211 2212 Oilseed and Grain Farming Vegetable and Melon Farming Fruit and Tree Nut Farming Greenhouse Nursery and Floriculture Production Other Crop Farming Cattle Ranching and Farming Hog and Pig Farming Poultry and Egg Production Sheep and Goat Farming Animal Aquaculture Other Animal Production Timber Tract Operations Forest Nurseries and Gathering of Forest Products Logging Fishing Hunting and Trapping Support Activities for Crop Production Support Activities for Animal Production Support Activities for Forestry Oil and Gas Extraction Coal Mining Metal Ore Mining Non Metallic Mineral Mining and Quarrying Support Activities for Mining and Oil and Gas Extraction El
19. Pulp Mill Machine Operators Papermaking and Finishing Machine Operators Other Wood Processing Machine Operators Paper Converting Machine Operators Lumber Graders and Other Wood Processing Inspectors and Graders Textile Fibre and Yarn Preparation Machine Operators Special Surveys Division J152 J153 J154 J161 J162 J163 J164 J171 J172 J173 J174 J175 J181 J182 J183 J184 J191 J192 J193 J194 J195 J196 J197 J211 J212 J213 J214 Weavers Knitters and Other Fabric Making Occupations Textile Dyeing and Finishing Machine Operators Textile Inspectors Graders and Samplers Sewing Machine Operators Fabric Fur and Leather Cutters Hide and Pelt Processing Workers Inspectors and Testers Fabric Fur and Leather Products Manufacturing Process Control and Machine Operators Food and Beverage Processing Industrial Butchers and Meat Cutters Poultry Preparers and Related Workers Fish Plant Workers Tobacco Processing Machine Operators Testers and Graders Food and Beverage Processing Printing Machine Operators Camera Platemaking and Other Pre Press Occupations Binding and Finishing Machine Operators Photographic and Film Processors Machining Tool Operators Forging Machine Operators Woodworking Machine Operators Metalworking Machine Operators Welders and Soldering Machine Operators Other Metal Products Machine Operators Other Products Machine Operators Aircraft Assembl
20. Refers to a group of two or more persons who live in the same dwelling and are related to each other by blood marriage common law or adoption Ethnic or Cultural Group A group of individuals having a distinct culture in common The term ethnic or cultural group implies that values norms behaviour and language not necessarily physical appearance are the important distinguishing characteristics FOSS The acronym stands for Field Operations Support System and is an administrative database maintained by Citizenship and Immigration Canada The FOSS was used as the sample frame of the survey Full time Employment Persons who usually work 30 hours or more per week at their main or only job Special Surveys Division 7 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Host Program This program matches newcomers with a volunteer who is familiar with Canadian ways Someone who can teach newcomers about available services make contacts help with employment housing etc This program is intended to facilitate the integration process of newcomers Immigrant Categories Economic Class Immigrants selected for their skills or other assets that will contribute to the Canadian economy includes skilled workers investors entrepreneurs and self employed persons Family class Immigrants sponsored by close relatives or family members already living in Canada Independent immigrants Immigrants who qualify for certain ty
21. Specialized Livestock Workers 97 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 8254 Nursery and Greenhouse Operators and List of Citizenship and Immigration Canada Managers Synthetic Codes 8262 Fishing Vessel Skippers and 9910 Investors Fishermen women 9920 Students 8422 Silviculture and Forestry Workers 9930 New workers 8431 General Farm Workers 9940 Retirees 8614 Mine Labourers 9950 Open employment authorization 9216 Supervisors Textile Processing 9960 Fianc es 9414 Concrete Clay and Stone Forming Operators 9970 Homemakers 9415 Inspectors and Testers Mineral and Metal 9980 Other non workers Processing 9990 Software designer pilot program 9432 Pulp Mill Machine Operators DN Longitudinal Survey of Immigrants to Canada 944 Textile Fibre and Yarn Preparation Reserved Code Machine Operators 9999 Not stated 9451 Sewing Machine Operators 9462 Industrial Butchers and Meat Cutters Poultry Preparers and Related Workers 9465 Testers and Graders Food and Beverage Processing 9483 Electronics Assemblers Fabricators Inspectors and Testers 9484 Assemblers and Inspectors Electrical Appliance Apparatus and Equipment Manufacturing 9511 Machining Tool Operators 9619 Other Labourers in Processing Manufacturing and Utilities 98 Special Surveys Division
22. Survey of Immigrants to Canada Wave 1 User Guide Table 9 1 Distribution of Module Completion Se ae ine Cases 3p p E LL 9 39 od tt 1 1 15 15 2 1 f oo n xe spores pose ee ee 1 1 iA iF m aA 2 2 a 23 2 ine ptt tt tt tet 02 ptt tt tt tet 0 09 k 6 0 05 0 11 007 8 0 07 0 01 6 005 0 10 0 05 8 007 0 06 i el mli mirii inmi inminmii i m m mi rnmj ro mi j rnmi j rnmjrosimji 2 2 0 07 1 1 1 1 1 2 2 1 1 1 2 1 2 1 1 1 2 m mrm rm rnmj ro rm j j rr rnirnr 1 1 2 2 2 2 1 2 1 1 2 2 N EH 0 0 0 0 aj 2 j BG Background SN Social Network LS Language Skills HS Housing ED Education EM Employment HL Health IN Income Table 9 1 shows that the Income Module was the least reported module with 396 non response For the Income Module a different processing approach was used This approach is described in the next section 9 2 Imputation for Income and Other Quantitative Variables For quantitative variables such as wages income and total earnings editing as well as imputation was performed The first step in the imputation process was to transform all values to the same yearly basis As respondents could report values for different periods all values had to be processed on the same basis Values were transformed back to their original state after t
23. Table 7 1 For example a unique STUDYID is associated with each course or training event reported in the ST entity Special Surveys Division 25 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 7 6 Constructing Custom Datasets Although data can be extracted and merged in many ways the LSIC team has developed an easy to use data extraction and merging application The application named IXP Integrated Extraction Program enables users to create custom files by pointing and clicking The following should be considered when working with the IXP 1 The IXP requires SAS input files and has the capacity to output files in ASCII SAS and SPSS formats The IXP allows the creation of SAS or SPSS syntax cards that will enable users to obtain fully formatted result files 2 For each table selected users must select all the variables they want to extract by pointing and clicking An option enables the selection of all variables in the selected table at once 3 If variables are selected from a roster file the IXP will automatically show an option box to flatten the file Flattening will create a single row of data for each LR by transposing the variables across To illustrate this a respondent may have reported between 0 and 12 credentials In the example below we have two respondents the first reported one credential and the second three The user is interested in the three variables at the right side of the table The user
24. Telecommunication Carriers Managers Engineering Managers Computer and Information Systems Managers Managers in Health Care Sales Marketing and Advertising Managers Special Surveys Division listed 0621 0631 0632 0651 0711 0713 0721 0811 0911 1111 1112 1113 1114 1121 1122 1211 1221 1222 Retail Trade Managers Restaurant and Food Service Managers Accommodation Service Managers Other Services Managers Construction Managers Transportation Managers Facility Operation and Maintenance Managers Primary Production Managers Except Agriculture Manufacturing Managers Financial Auditors and Accountants Financial and Investment Analysts Securities Agents Investment Dealers and Brokers Other Financial Officers Specialists in Human Resources Professional Occupations in Business Services to Management Supervisors General Office and Administrative Support Clerks Administrative Officers Executive Assistants 91 1223 1225 1226 1228 1231 1232 1233 1234 1235 1241 1242 1243 1411 1414 1421 1422 1423 1431 1432 1433 1434 1435 1441 92 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Personnel and Recruitment Officers Purchasing Agents and Officers Conference and Event Planners Immigration Employment Insurance and Revenue Officers Bookkeepers Loan Officers Insurance Adjusters and Claims
25. account can be calculated for many statistics by Statistics Canada on a cost recovery basis 12 5 Coefficient of Variation Release Guidelines Before releasing and or publishing any estimate from the LSIC users should first determine the quality level of the estimate The quality levels are acceptable marginal and unacceptable As discussed in Chapter 11 0 sampling and non sampling errors both influence data quality For the purposes of this document however estimate quality is based solely on the sampling error illustrated by the coefficient of variation as shown in the table below First the number of immigrants who contribute to the calculation of the estimate should be determined If this number is less than 10 the weighted estimate should be considered to be of unacceptable quality For weighted estimates based on sample sizes of 10 immigrants or more users should determine the coefficient of variation of the estimate and follow the guidelines below These quality level guidelines should be applied to weighted rounded estimates All estimates can be considered releasable However those of marginal or unacceptable quality level must be accompanied by a warning to caution subsequent users Special Surveys Division 55 56 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Quality Level Guidelines Quality Level of Estimate 1 Acceptable 2 Marginal 3 Unacceptable Estimates have a sample size of
26. and Utilities Supervisors Food Beverage and Tobacco Processing Supervisors Plastic and Rubber Products Manufacturing Supervisors Forest Products Processing Supervisors Textile Processing Supervisors Motor Vehicle Assembling Supervisors Electronics Manufacturing Special Surveys Division J023 J024 J025 J026 J027 J111 J112 J113 J114 J121 J122 J123 J124 J125 J131 J132 J133 J134 J141 J142 J143 J144 J145 J146 J151 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Supervisors Electrical Products Manufacturing Supervisors Furniture and Fixtures Manufacturing Supervisors Fabric Fur and Leather Products Manufacturing Supervisors Other Mechanical and Metal Products Manufacturing Supervisors Other Products Manufacturing and Assembly Central Control and Process Operators Mineral and Metal Processing Petroleum Gas and Chemical Process Operators Pulping Control Operators Papermaking and Coating Control Operators Machine Operators Mineral and Metal Processing Foundry Workers Glass Forming and Finishing Machine Operators and Glass Cutters Concrete Clay and Stone Forming Operators Inspectors and Testers Mineral and Metal Processing Chemical Plant Machine Operators Plastics Processing Machine Operators Rubber Processing Machine Operators and Related Workers Water and Waste Plant Operators Sawmill Machine Operators
27. estimate the average monthly amount paid for housing by immigrants living in dwelling units a estimate the total monthly amount paid in housing costs x as described above b estimate the number of immigrants who live in dwelling units 7 by summing the final weights of all records for this category then c divide estimate a by estimate b x i1 12 4 Guidelines for Statistical Analysis The LSIC is based upon a complex sample design with stratification multiple stages of selection and unequal probabilities of selection of respondents Using data from such complex surveys presents problems to analysts because the survey design and the selection probabilities affect the estimation and variance calculation procedures that should be used In order for survey estimates and analyses to be free from bias the survey weights must be used While many analysis procedures found in statistical packages allow weights to be used the meaning or definition of the weight in these procedures differs from that which is appropriate in a sample survey framework with the result that while in many cases the estimates produced by the packages are correct the variance estimates that are calculated are poor Approximate variances for simple estimates such as totals proportions and ratios for qualitative variables and for common domains can be derived using the LSIC Coefficients of Variation Extraction Module which is provided as a companion tool
28. of Real Estate Offices of Real Estate Agents and Brokers Activities Related to Real Estate Automotive Equipment Rental and Leasing Consumer Goods Rental General Rental Centres Commercial and Industrial Machinery and Equipment Rental and Leasing Lessors of Non Financial Intangible Assets Except Copyrighted Works Legal Services Accounting Tax Preparation Bookkeeping and Payroll Services Architectural Engineering and Related Services Specialized Design Services Computer Systems Design and Related Services Management Scientific and Technical Consulting Services Scientific Research and Development Services Advertising and Related Services Other Professional Scientific and Technical Services Management of Companies and Enterprises Special Surveys Division 5611 5612 5613 5614 5615 5616 5617 5619 5621 5622 5629 6111 6112 6113 6114 6115 6116 6117 6211 6212 6213 6214 6215 6216 6219 6221 6222 6223 6231 6232 6233 6239 Office Administrative Services Facilities Support Services Employment Services Business Support Services Travel Arrangement and Reservation Services Investigation and Security Services Services to Buildings and Dwellings Other Support Services Waste Collection Waste Treatment and Disposal Remediation and Other Waste Management Services Elementary and Secondary Schools Community Colleges and C E G E P s Universities Business
29. the publication Statistics Canada Quality Guidelines Catalogue no 12 539 XIE Special Surveys Division 59 60 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 13 4 Howto Derive the Coefficient of Variation for Categorical Estimates Rule 1 Estimates of Number of Immigrants Possessing a Characteristic Aggregates The coefficient of variation depends only on the size of the estimate itself It is safe to say that an estimate s CV is close though slightly greater than the proportion it represents Hence to get an approximation of an estimate s CV users could use the CVEM by specifying the domain s size and deriving the appropriate proportion For example suppose we have an estimate Yhat 30 000 individuals possessing a certain characteristic If we are to compare them to the 100 000 people in the domain of interest then the CV for Yhat should be close to the proportion i e 30 000 100 000 30 0 To have an exact CV the programs that use the bootstrap weights should be used Bootstrap programs are available for SAS and STATA users Rule 2 Estimates of Proportions or Percentages of Immigrants Possessing a Characteristic The CV s calculated in the CVEM are for proportions Hence they can be used directly as they are given on the spreadsheet Rule 3 Estimates of Differences Between Aggregates Percentages and ratios To obtain the CV for a difference the Bootstrap programs are best suited as
30. to not stated An item which was coded as not stated is indicated by a code 9 For a variable that is two digits long the code is 99 for a three digit variable 999 etc Flow edits and assignment of valid skip codes As the last step of the pre edits the flow patterns for each of the files were processed and standard codes for valid skips were assigned 6 96 and 996 For example for all questions where the LR did not have a spouse or common law partner residing in the household all spouse variables have been set to valid skip 75 Data Model Structure After pre edit and flow edits were completed the data were split up into smaller databases called entities following a data model approach This approach allows for better processing efficiency and provides a good storage structure for longitudinal data minimizing the impact of changes made to the questionnaires between waves All questions measuring the same general concepts education housing etc were regrouped into the same database Most of the time the questionnaire was already divided by theme and therefore the contents of the processing files were very similar to the questionnaire modules The following table presents the LSIC entities with a description of their collected or derived content Special Surveys Division 23 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Table 7 1 List of the Data Model Entities and Their Contents Enti
31. wants to match this file with some LR characteristics from the LR file Variables to select from the Credentials CR file HHLDID EDCID cr1q002 cr1q003 cr1q004 maoo o 2 6 6 nhleio02 nhiiao2 niin For the credentials roster the maximum number of possible entries per LR is 12 The IXP will automatically create a table with 12 columns for each selected variable from the roster in the example above 3 x 12 This new table will then be put beside the LR variables to create the merged file When creating the 12 columns for the selected variables the names are changed to distinguish between them This is done by adding a letter to the end of the variable name The letter will correspond to the roster id For example all variables related to EDCID 1 will get an a at the end of the variable names EDCID 2 will be get a b etc If a respondent only reported two credentials the remaining ten sets of variables will automatically be filled with missing values represented by a period in SAS For the purpose of the following example of an output file the maximum number of credentials is assumed to be 4 rather than 12 The EDCID is included to show the relationship between the roster id and the new variable name Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide HHLDID Ir1d005 Ir1q008 Iriq009 Ir1g039 EDCIDa criq002a hhlaid00 nhididooa Continued cr q003a criq004a
32. with someone who was able to confirm their status These cases are defined as resolved cases as the immigrant had a known status The last collection outcome is the unresolved cases For these no contact was established and they remained unresolved No information on whether they were still in Canada was available The weight adjustments reflect these outcomes Special Surveys Division 39 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide The sample can first be split between the resolved and the unresolved cases Sample S Sy Ss where Sy sampled units unresolved Sr sampled units resolved Furthermore in the resolved portion Sp Sr Spy Sro where Spr sampled units resolved that are respondents Sry sampled units resolved that are non respondents Sro sampled units resolved that are not in the population of interest referred to as OOI out of interest Individuals who are out of scope are represented by OOS The following diagram presents an overview of these concepts as they relate to weighting Frame for Selection Sample and Collection Outcome Population out Unresolved of interest Units Resolved OOS Population of Resolved interest Units Resolved Non respondents Resolved Respondents Conceptually for the set of units that remained unresolved Sy it is fair to assume it is composed of units in the population of interest PI and the population out of interest OOI However at t
33. years in Canada If data were collected only once i e during the fourth year in Canada significant recall and response errors could be encountered Furthermore to facilitate a complete study of the immigrant s adaptation the full range of longitudinal data must be obtained from each longitudinal respondent 5 3 2 Stratification The first stratification variable used is the month of landing in Canada there are 12 cohorts of immigrants i e one for each reference month Within each month two other stratification variables are used the intended province of destination as stated by the immigrant and the class of immigrant Provinces are grouped into five categories Qu bec Ontario Alberta British Columbia and the remaining provinces the territories are excluded There are six categories for classes of immigrant family class economic skilled economic business government sponsored refugees other refugees and other immigrants Since a stratum is created by the intersection of the above categories there are 30 strata for each cohort of immigrants for a total of 360 strata Sample Selection and Sample Size The sample can be divided into two components the core and the additional samples The core sample represents the target population while the additional samples target specific sub populations These specific sub populations were determined by analysing the expected sample allocation at Wave 3 and also by various requirement
34. 21 5222 5225 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Other Professional Occupations in Social Science n e c Paralegal and Related Occupations Community and Social Service Workers Early Childhood Educators and Assistants Instructors and Teachers of Persons with Disabilities Other Religious Occupations Librarians Conservators and Curators Authors and Writers Editors Journalists Professional Occupations in Public Relations and Communications Translators Terminologists and Interpreters Producers Directors Choreographers and Related Occupations Musicians and Singers Dancers Actors and Comedians Painters Sculptors and Other Visual Artists Library and Archive Technicians and Assistants Photographers Film and Video Camera Operators Audio and Video Recording Technicians Special Surveys Division 5226 5231 5232 5241 5242 5243 5244 5245 5251 5252 5254 6211 6212 6221 6231 6232 6233 6241 6242 6251 6252 Other Technical and Co ordinating Occupations in Motion Pictures Broadcasting and the Performing Arts Announcers and Other Broadcasters Other Performers Graphic Designers and Illustrators Interior Designers Theatre Fashion Exhibit and Other Creative Designers Artisans and Craftspersons Patternmakers Textile Leather and Fur Products Athletes Coaches Program Leaders and Instructors in Recreation a
35. 231 7232 7241 7242 7244 7245 7246 Grocery Clerks and Store Shelf Stockers Other Elemental Sales Occupations Elemental Medical and Hospital Assistants Food Counter Attendants Kitchen Helpers and Related Kitchen and Food Service Helpers Security Guards and Related Occupations Light Duty Cleaners Janitors Caretakers and Building Superintendents Contractors and Supervisors Electrical Trades and Telecommunications Occupations Contractors and Supervisors Mechanic Trades Contractors and Supervisors Heavy Construction Equipment Crews Contractors and Supervisors Other Construction Trades Installers Repairers and Servicers Supervisors Railway Transport Operations Machinists and Machining and Tooling Inspectors Tool and Die Makers Electricians Except Industrial and Power System Industrial Electricians Electrical Power Line and Cable Workers Telecommunications Line and Cable Workers Telecommunications Installation and Repair Workers Special Surveys Division 7251 7253 7261 7265 7271 7272 7281 7282 7283 7294 7311 7312 7313 7315 7316 7317 7321 7322 7332 7333 7342 7343 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Plumbers Gas Fitters Sheet Metal Workers Welders and Related Machine Operators Carpenters Cabinetmakers Bricklayers Concrete Finishers Tilesetters Painters and Decorators Constr
36. 3 0 the population of interest is actually a portion of the target population Recall that the survey frame covers the target population immigrants who meet all of the following criteria arrived in Canada between October 1 2000 and September 30 2001 were age 15 or older at the time of landing landed from abroad must have applied through a Canadian Mission Abroad However some of these immigrants resided in Canada for only a short period of time before returning to their original country or migrating to another country These immigrants do not have similar adaptation characteristics as the ones who are permanently residing in Canada It is biased to include in the same weight adjustment the immigrants who moved out of Canada and those who still reside in Canada Therefore the target population includes two basic sub groups as defined in Section 8 1 The population of interest consists of immigrants who live in Canada for more that six months of the year The final weight yields unbiased estimates of the population of interest The out of interest population consists of immigrants who no longer live in Canada i e who have left since landing in Canada 10 2 Overview of the Weight Adjustments During collection there were four possible classifications for a selected immigrant respondent non respondent not in the population of interest and unresolved The first three categories resulted in an initial contact with the immigrant or
37. 33 G134 G211 G311 G411 G412 G511 G512 G513 G611 Support and Assisting Occupations in Motion Pictures Broadcasting and the Performing Arts Announcers and Other Broadcasters Other Performers Graphic Designers and Illustrating Artists Interior Designers Theatre Fashion Exhibit and Other Creative Designers Artisans and Craftspersons Patternmakers Textile Leather and Fur Products Athletes Coaches Sports Officials and Referees Program Leaders and Instructors in Recreation and Sport Retail Trade Supervisors Food Service Supervisors Executive Housekeepers Dry Cleaning and Laundry Supervisors Cleaning Supervisors Other Service Supervisors Sales Representatives Wholesale Trade Non Technical Technical Sales Specialists Wholesale Trade Insurance Agents and Brokers Real Estate Agents and Salespersons Retail and Wholesale Buyers Grain Elevator Operators Retail Salespersons and Sales Clerks Cashiers Chefs Cooks Ma tres d h tel and Hosts Hostesses Bartenders Food and Beverage Servers Police Officers except Commissioned 77 G612 G621 G622 G623 G624 G625 G631 G711 G712 G713 G714 G715 G721 G722 G731 G732 G811 G812 G813 G814 G911 G912 G921 G922 G923 G924 G931 G932 G933 78 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Fire fighters Sheriffs and Bailiffs Correctional Service Officers By law Enforcement and Other Regul
38. 51 2153 2154 2161 2162 2163 2211 2212 2213 2221 2222 2223 2225 2231 2232 2233 2234 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Geological Engineers Petroleum Engineers Aerospace Engineers Computer Engineers Except Software Engineers Other Professional Engineers n e c Architects Urban and Land Use Planners Land Surveyors Mathematicians Statisticians and Actuaries Computer Systems Analysts Computer Programmers Chemical Technologists and Technicians Geological and Mineral Technologists and Technicians Meteorological Technicians Biological Technologists and Technicians Agricultural and Fish Products Inspectors Forestry Technologists and Technicians Landscape and Horticulture Technicians and Specialists Civil Engineering Technologists and Technicians Mechanical Engineering Technologists and Technicians Industrial Engineering and Manufacturing Technologists and Technicians Construction Estimators Special Surveys Division 2241 2242 2243 2244 2251 2252 2253 2255 2262 2263 2264 2271 2272 3111 3112 3113 3114 3122 3131 3132 Electrical and Electronics Engineering Technologists and Technicians Electronic Service Technicians Household and Business Equipment Industrial Instrument Technicians and Mechanics Aircraft Instrument Electrical and Avionics Mechanics Technicians and In
39. 531 532 533 534 535 536 539 541 542 543 546 547 548 549 550 551 556 561 562 563 564 565 566 567 84 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Switzerland Western Europe N O S Bulgaria Czechoslovakia N I E Czech Republic Estonia Hungary Latvia Lithuania Poland Romania Slovakia U S S R N I E Commonwealth of Independent States Belarus Republic of Moldova Russia Federation Ukraine Eastern Europe N O S Republic of Ireland EIRE Ireland N I E United Kingdom Denmark Finland Iceland Norway Sweden Scandinavia N O S Northern Europe N O S Albania Andorra Bosnia and Herzegovina Croatia Gibraltar Greece Italy 568 569 570 571 572 573 574 575 576 577 578 579 580 582 583 584 587 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 Macedonia Former Yugoslav Republic of Macedonia Malta Montenegro Portugal San Marino Serbia Slovenia Spain Vatican City State Yugoslavia N O S Yugoslavia Macedonia Region Southern Europe N O S Kosovo Vojvodina Austria Hungary Europe N O S Benin Burkina Faso Cape Verde C te d lvoire Gambia Ghana Guinea Guinea Bissau Liberia Mali Mauritania Niger Nigeria St Helena and Ascension Senegal Sierra Leone Togo Western Africa N O S Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User
40. 6 207 208 211 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Appendix Ill Country Codes 2001 Census Minor differences exist between this list and the one used by the 2001 Census Canada Greenland Saint Pierre and Miquelon United States North America N O S Belize Costa Rica EI Salvador Guatemala Honduras Mexico Nicaragua Panama Central America N O S Anguilla Antigua and Barbuda Aruba Bahamas Barbados Bermuda Cayman Islands Cuba Dominica Dominican Republic Grenada Guadeloupe Haiti Jamaica Martinique Montserrat Netherlands Antilles Puerto Rico Special Surveys Division 319 320 321 322 323 324 325 326 329 401 402 403 404 405 406 407 408 409 410 411 412 413 414 420 501 502 503 505 506 507 508 509 Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Trinidad and Tobago Turks and Caicos Islands British Virgin Islands U S Virgin Islands West Indies N O S Caribbean and Bermuda N O S Argentina Bolivia Brazil Chile Colombia Ecuador Falkland Islands Malvinas French Guiana Guyana Paraguay Peru Suriname Uruguay Venezuela South America N O S Austria Belgium France Germany Liechtenstein Luxembourg Monaco Netherlands 83 511 512 521 522 523 524 525 526 527 528 529 530
41. 8 5 Results of Wave 1 Collection by Intended Province of Destination Unweighted Non Out of interest Newfoundland and Labrador 35 44 3 020 470 1 497 5 094 Prince Edward Island Nova Scotia New Brunswick Qu bec 2 616 Ontario 11 091 Manitoba 365 Special Surveys Division 33 34 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Table 8 6 Results of Wave 1 Collection by Place of Birth Unweighted Place of Birth Africa America Asia Europe Oceania Total aw zw s Special Surveys Division Total 1 931 1 373 13 662 3 230 126 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 9 0 Imputation For partial and item non response imputation techniques were used Imputation is basically the process during which a plausible value is produced to replace a missing or inconsistent value The goal is to construct values that will lead to approximately unbiased estimators There are many well known techniques available to impute values for a given record or variable When carried out properly imputation improves data quality by reducing non response bias This was done to ensure that a complete data set of variables or records was produced and to minimize the not stated fields in the microdata file For item non response deterministic imputation was performed Deterministic imputation is the process by which another source of data is used for a si
42. AI system automatically skipped these questions General Consistency Edits Some consistency edits were included as part of the CAI system and interviewers were able to slide back to previous questions to correct for inconsistencies Instructions were displayed to interviewers for handling or correcting problems such as incomplete or incorrect data For example in the Language Module if the respondent indicated that English was the language he she most often spoke at home the respondent could then not answer that they do not speak English to a following question If this happened an edit screen popped up and the interviewer had to change one of the answers Range Edits in Numeric Fields Range edits were also built into the CAI system for questions asking for numeric values If numbers entered were outside the range the system generated a pop up window which stated the error and instructed the interviewer to make corrections to the appropriate question For example in the collection of the Employment Details sub module the number of hours worked per week was set to a maximum of 168 hours the number of hours in a week If the respondent indicated that he she worked more than 168 hours a week the range edit was triggered Special Surveys Division 19 20 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 7 2 Minimum Completion Requirements One of the first steps in the LSIC processing was to define the requirement
43. EDCIDb cr q002b cr1q003b cr1q004b EDCIDc Continued cr1q002c cr1q003c criq004c EDCIDd cr1q002d cr1q003d cr1q004d IDEE a eae a EET RE EE ee If you choose not to flatten the file the output would appear as shown below with the LR variables repeated for each record in the roster e adoi a CR os EF a verlo spe MES ONERE ERR RE REIR TE REED RESET RACE ERE 1 1 For more information on how to use the IXP see the Integrated Extraction Program User s Guide 7 7 Consistency Edit The Goal of Consistency Editing Once the data model was built and data split into entities consistency editing was carried out to verify the relationship between two or more variables Relationship edits For various reasons relationship data collected in the Entry Module at times contained errors The relationship edit step ensures a clean file and consistency in the relationships among members of the same household and between households For example some respondents whose spouses had children reported their relationship to them as unrelated In fact according to the Census definitions these people should have been step parents which is not a well known concept for some recent immigrants to Canada Similarly some foster parents reported being unrelated to a foster child when they should have reported being foster parents Examples of consistency edits In the Language Skills Module for the question Other languages that LR can speak
44. Engineers n e c Architects Landscape Architects Urban and Land Use Planners Land Surveyors Mathematicians Statisticians and Actuaries Computer Systems Analysts Computer Programmers Applied Chemical Technologists and Technicians Geological and Mineral Technologists and Technicians Meteorological Technicians Special Surveys Division C121 C122 C123 C124 C125 C131 C132 C133 C141 C142 C143 C144 C151 C152 C153 C154 C155 C161 C162 C163 C164 C171 C172 C173 Biological Technologists and Technicians Agricultural and Fish Products Inspectors Forestry Technologists and Technicians Conservation and Fishery Officers Landscape and Horticultural Technicians and Specialists Civil Engineering Technologists and Technicians and Construction Estimators Mechanical Engineering Technologists and Technicians Industrial Engineering and Manufacturing Technologists and Technicians Electrical and Electronics Engineering Technologists and Technicians Electronic Service Technicians Household and Business Equipment Industrial Instrument Technicians and Mechanics Aircraft Instrument Electrical and Avionics Mechanics Technicians and Inspectors Architectural Technologists and Technicians Industrial Designers Drafting Technologists and Technicians Survey Technologists and Technicians Mapping and Related Technologists and Technicians Nondestructive Testers an
45. Examiners Insurance Underwriters Assessors Valuators and Appraisers Secretaries Except Legal and Medical Legal Secretaries Medical Secretaries General Office Clerks Receptionists and Switchboard Operators Computer Operators Data Entry Clerks Desktop Publishing Operators and Related Occupations Accounting and Related Clerks Payroll Clerks Customer Service Representatives Financial Services Banking Insurance and Other Financial Clerks Collectors Administrative Clerks 1442 1453 1461 1471 1472 1473 1474 1475 2111 2112 2113 2114 2115 2121 2122 2123 2131 2132 2133 2134 2141 2142 2143 Personnel Clerks Customer Service Information and Related Clerks Mail Postal and Related Clerks Shippers and Receivers Storekeepers and Parts Clerks Production Clerks Purchasing and Inventory Clerks Dispatchers and Radio Operators Physicists and Astronomers Chemists Geologists Geochemists and Geophysicists Meteorologists Other Professional Occupations in Physical Sciences Biologists and Related Scientists Forestry professionals Agricultural Representatives Consultants and Specialists Civil Engineers Mechanical Engineers Electrical and Electronics Engineers Chemical Engineers Industrial and Manufacturing Engineers Metallurgical and Materials Engineers Mining Engineers Special Surveys Division 2144 2145 2146 2147 2148 21
46. For other analysis techniques for example linear regression logistic regression and analysis of variance a method exists which can make the variances calculated by the standard packages more meaningful by incorporating the unequal probabilities of selection The method rescales the weights so that there is an average weight of 1 For example suppose that analysis of all male respondents is required The steps to rescale the weights are as follows 1 select all immigrants from the file who reported Ir1q008 male 2 calculate the AVERAGE weight for these records by summing the original person weights WT1L from the microdata file for these records and then dividing by the number of respondents who reported Ir1q008 male 3 for each of these respondents calculate a RESCALED weight equal to the original person weight divided by the AVERAGE weight 4 perform the analysis for these respondents using the RESCALED weight Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide However because the stratification and clustering of the sample s design are still not taken into account the variance estimates calculated in this way are likely to be under estimates The calculation of more precise variance estimates requires detailed knowledge of the design of the survey Such detail cannot be given in this microdata file because of confidentiality Variances that take the complete sample design into
47. ID WLID eres veu eau e OL ne TOUS 7 5 1 File Structure The unit of analysis for the majority of entities is the longitudinal respondent LR Therefore these entities have one record per longitudinal respondent However the units of analysis are unique to each roster file HH is the respondent s household CR is credentials JB is jobs ST is training or courses and WL is places where the LR lived While the minimum number of records for the longitudinal respondent on the roster files is zero except for HH where the LR is the unit of analysis the maximum varies for each CR 12 JB 7 ST 7 WL 5 24 Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Note that when producing estimates the final weights are only to be used for the LRs records Estimates cannot be produced for the places lived records the employment records or the education records The estimates must only be associated to the LR For more information on weighting see Chapter 10 0 The LSIC files are available in two different structures 1 Textfiles ASCII format Data from each entity is included in one large text file with the exception of the roster information Each roster file CR JB ST WL and household file HH has its own separate text file SAS and SPSS syntax cards are available for the formatting of these files names of these files end by SASE and SPSSE for English syntax cards and SASF and SPSSF f
48. Sales Occupations Dry Cleaning and Laundry Occupations Ironing Pressing and Finishing Occupations Other Elemental Service Occupations Supervisors Machinists and Related Occupations Contractors and Supervisors Electrical Trades and Telecommunications Occupations Contractors and Supervisors Pipefitting Trades Contractors and Supervisors Metal Forming Shaping and Erecting Trades Contractors and Supervisors Carpentry Trades Contractors and Supervisors Mechanic Trades Contractors and Supervisors Heavy Construction Equipment Crews Supervisors Printing and Related Occupations Contractors and Supervisors Other Construction Trades Installers Repairers and Servicers Supervisors Railway Transport Operations Supervisors Motor Transport and Other Ground Transit Operators Plumbers Steamfitters Pipefitters and Sprinkler System Installers Gas Fitters Special Surveys Division H121 H122 H131 H132 H133 H134 H141 H142 H143 H144 H145 H211 H212 H213 H214 H215 H216 H217 H221 H222 H311 H312 H321 H322 H323 H324 H325 H411 H412 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Carpenters Cabinetmakers Bricklayers Cement Finishers Tilesetters Plasterers Drywall Installers and Finishers and Lathers Roofers and Shinglers Glaziers Insulators Painters and Decorators Floor Covering Installers Electricians except Industrial and Power
49. Schools and Computer and Management Training Technical and Trade Schools Other Schools and Instruction Educational Support Services Offices of Physicians Offices of Dentists Offices of Other Health Practitioners Out Patient Care Centres Medical and Diagnostic Laboratories Home Health Care Services Other Ambulatory Health Care Services General Medical and Surgical Hospitals Psychiatric and Substance Abuse Hospitals Specialty except Psychiatric and Substance Abuse Hospitals Nursing Care Facilities Residential Developmental Handicap Mental Health and Substance Abuse Facilities Community Care Facilities for the Elderly Other Residential Care Facilities 71 6241 6242 6243 6244 7111 7112 7113 7114 7115 7121 7131 7132 7139 7211 7212 7213 7221 7222 7223 7224 8111 8112 8113 8114 8121 8122 8123 8129 8131 72 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Individual and Family Services Community Food and Housing and Emergency and Other Relief Services Vocational Rehabilitation Services Child Day Care Services Performing Arts Companies Spectator Sports Promoters Presenters of Performing Arts Sports and Similar Events Agents and Managers for Artists Athletes Entertainers and Other Public Figures Independent Artists Writers and Performers Heritage Institutions Amusement Parks and Arcades Gambling Industries Other Amusement and Re
50. Surveys Division 3 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 3 0 Objectives There exists a growing need for information on recent immigrants to Canada While full integration may take several generations to achieve the Longitudinal Survey of Immigrants to Canada is designed to examine the process during the critical first four years of settlement a time when newcomers establish economic social and cultural ties to Canadian society To this end the objectives of the survey are two fold e to study how new immigrants adjust to life in Canada over time and e to provide information on the factors that can facilitate or hinder this adjustment Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 4 0 Concepts and Definitions There are many variables and concepts that are critical to the analysis of Longitudinal Survey of Immigrants to Canada LSIC data The following is an explanation of the key concepts in the LSIC Derived variables are those that are not asked directly to the respondents but are calculated using information they have provided The unit of analysis for the LSIC is the longitudinal respondent See Section 5 3 for information on the survey design Census family Refers to a married couple with or without children of either or both spouses a couple living common law with or without children of either or both partners or a lone parent of any marital st
51. agers Postal and Courier Services Managers Managers in Health Care Administrators in Post Secondary Education and Vocational Training School Principals and Administrators of Elementary and Secondary Education Managers in Social Community and Correctional Services Government Managers in Health and Social Policy Development and Program Administration Government Managers in Economic Analysis Policy Development and Program Administration Government Managers in Education Policy Development and Program Administration Other Managers in Public Administration Library Archive Museum and Art Gallery Managers Managers in Publishing Motion Pictures Broadcasting and Performing Arts Recreation and Sport Program and Service Directors Commissioned Police Officers Fire Chiefs and Senior Fire fighting Officers Commissioned Officers Armed Forces Other Services Managers Construction Managers Residential Home Builders and Renovators 73 A373 A381 A391 A392 B011 B012 B013 B014 B021 B022 B111 B112 B113 B114 B115 B116 B211 B212 B213 B214 B311 B312 B313 B314 B315 B316 B317 B318 B411 B412 74 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Transportation Managers Primary Production Managers except Agriculture Manufacturing Managers Utilities Managers Financial Auditors and Accountants Financial and Investment Analysts Securities Agents Investmen
52. agnitude of the sampling error It is highly recommended that users analyzing data or producing estimates from the Longitudinal Survey of Immigrants to Canada LSIC data file do so as well The basis for measuring sampling error is the standard error of the estimates derived from survey results However because of the large variety of estimates that can be produced from a survey the standard error of an estimate is usually expressed relative to the estimate to which it pertains This measure known as the coefficient of variation CV of an estimate is obtained by expressing the standard error of the estimate as a percentage of the estimate The smaller the CV the smaller the sampling variability meaning smaller CVs are more desirable The CV depends on the size of the sample on which the estimate is based the population size and on the distribution of the sample i e the sampling fraction of the units of the domains being estimated The following diagram presents the characteristics of some coefficients of variation and the Statistics Canada guidelines for release Characteristics Guidelines for Release 0 0 1 0 Excellent 1 0 5 0 Very Good 5 0 10 0 Good eliable enough for most purposes 10 0 16 5 Moderate 33 4 Data not acceptable Special Surveys Division 47 48 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 11 2 Non sampling Errors There are many sources of non samp
53. al Survey of Immigrants to Canada Wave 1 User Guide where G non response adjustment class G unresolved adjustment class Woint_ pr intermediary weight of the population of interest PI Wp design weight see Section 10 3 for more detail on the design weight calculations For the resolved out of interest population i S there is only one adjustment i e one adjustment to compensate for the predicted out of interest j See in the 2 Lt 2 2M a G je y oor iESro Moo 2 5 aes iESRo iESRo gt G ieS RO unresolved one 10 3 3 Post stratification Post stratification is one of the calibration estimation techniques widely used in social surveys It allows benchmarking on new updated population counts It has the same objective as the stratification however the groups are defined more appropriately with the estimation domains in mind i e stratification a posteriori The post stratification file still represents the target population The file was created with the same definitions and criteria as the survey frame but with more up to date files For example it included new units excluded deaths and or updated missing or improperly specified variables that were on the survey frame The post stratification variables used were age group sex place of birth collapsed by world area and class of immigrant Tables 10 2 through 10 5 provide the detailed categories Table 10 2 Age Group 15 24
54. ance Stores Building Material and Supplies Dealers Lawn and Garden Equipment and Supplies Stores Grocery Stores Specialty Food Stores Beer Wine and Liquor Stores Health and Personal Care Stores Gasoline Stations Clothing Stores Shoe Stores Jewellery Luggage and Leather Goods Stores Sporting Goods Hobby and Musical Instrument Stores Book Periodical and Music Stores Department Stores Other General Merchandise Stores Florists Office Supplies Stationery and Gift Stores Used Merchandise Stores Other Miscellaneous Store Retailers Electronic Shopping and Mail Order Houses Vending Machine Operators Direct Selling Establishments Scheduled Air Transportation Non Scheduled Air Transportation Rail Transportation Deep Sea Coastal and Great Lakes Water Transportation Inland Water Transportation General Freight Trucking Specialized Freight Trucking Urban Transit Systems Interurban and Rural Bus Transportation Taxi and Limousine Service 4854 4855 4859 4861 4862 4869 4871 4872 4879 4881 4882 4883 4884 4885 4889 4911 4921 4922 4931 5111 5112 5121 5122 5131 5132 5133 5141 5142 5211 School and Employee Bus Transportation Charter Bus Industry Other Transit and Ground Passenger Transportation Pipeline Transportation of Crude Oil Pipeline Transportation of Natural Gas Other Pipeline Transportation Scenic and Sightseeing Transportation Land Scenic
55. and Sightseeing Transportation Water Scenic and Sightseeing Transportation Other Support Activities for Air Transportation Support Activities for Rail Transportation Support Activities for Water Transportation Support Activities for Road Transportation Freight Transportation Arrangement Other Support Activities for Transportation Postal Service Couriers Local Messengers and Local Delivery Warehousing and Storage Newspaper Periodical Book and Database Publishers Software Publishers Motion Picture and Video Industries Sound Recording Industries Radio and Television Broadcasting Pay TV Specialty TV and Program Distribution Telecommunications Information Services Data Processing Services Monetary Authorities Central Bank Special Surveys Division 5221 5222 5223 5231 5232 5239 5241 5242 5261 5269 5311 5312 5313 5321 5322 5323 5324 5331 5411 5412 5413 5414 5415 5416 5417 5418 5419 5511 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Depository Credit Intermediation Non Depository Credit Intermediation Activities Related to Credit Intermediation Securities and Commodity Contracts Intermediation and Brokerage Securities and Commodity Exchanges Other Financial Investment Activities Insurance Carriers Agencies Brokerages and Other Insurance Related Activities Pension Funds Other Funds and Financial Vehicles Lessors
56. atory Officers n e c Other Ranks Armed Forces Other Protective Service Occupations Security Guards and Related Occupations Travel Counsellors Pursers and Flight Attendants Airline Sales and Service Agents Ticket and Cargo Agents and Related Clerks except Airline Hotel Front Desk Clerks Tour and Travel Guides Outdoor Sport and Recreational Guides Attendants in Amusement Recreation and Sport Other Attendants in Accommodation and Travel except Airline Travel Visiting Homemakers Housekeepers and Related Occupations Elementary and Secondary School Teacher Assistants Early Childhood Educators and Assistants Babysitters Nannies and Parents Helpers Hairstylists and Barbers Funeral Directors and Embalmers Image Social and Other Personal Consultants Estheticians Electrologists and Related Occupations Pet Groomers and Animal Care Workers Other Personal Service Occupations Light Duty Cleaners Specialized Cleaners Janitors Caretakers and Building Superintendents G941 G942 G951 G961 G962 G971 G972 G973 G981 G982 G983 H011 H012 H013 H014 H015 H016 H017 H018 H019 H021 H022 H111 H112 H113 Butchers and Meat Cutters Retail and Wholesale Bakers Elemental Medical and Hospital Assistants Food Service Counter Attendants and Food Preparers Kitchen and Food Service Helpers Service Station Attendants Grocery Clerks and Shelf Stockers Other Elemental
57. atus with at least one child living in the same dwelling A couple living common law may be of opposite or same sex Children in a census family include grandchildren living with their grandparent s but with no parents present A census family is also referred to as an immediate family in the survey Citizenship The status of being a citizen either native born or naturalized sharing equally in the rights privileges and responsibilities belonging to each individual Common law partner The person who though not legally married to the respondent is living with the respondent as his her spouse This partner may be of the same or opposite sex Credentials Includes any formal education higher than a high school diploma such as professional or technical qualifications and any other degrees diplomas or certificated received from outside Canada Fully Accepted The employer institution recognizes a certificate diploma etc as being legitimate within determined standards Partially Accepted The employer institution partially recognizes a certificate diploma etc as being legitimate within determined standards Not Accepted Certificate diploma etc is not recognized as being legitimate within determined standards Discrimination The unfavourable treatment of individuals on the basis of their personal characteristics which may include race or skin colour ethnicity or culture language or accent religion etc Economic family
58. cation is explained in Section 10 3 3 10 3 1 Design Weight At the time of selection an initial design weight was assigned to the selected person It is simply the inverse of the probability of selection of the selected immigrants The probability of selection is a function of the selection method Section 5 3 presents the details of the two stage sample approach chosen for the LSIC Thus the design weight of each selected person is equal to the inverse of the probability of selection of the immigrating unit IU in which the person is selected multiplied by the number of eligible persons in this IU The probability of selection of the group itself is equal to the product of the size measure of the IU and the number of IUs selected in the stratum divided by the total size of the IU in the stratum Probability of selection of one immigrant probability of selection of an immigrating unit the probability of selection of one immigrant among the group Or algebraically the probability of selection of immigrating unit 8 in stratum is _ Son Mh T gn M g 1 and the probability of selection of immigrant i in stratum is 1 A igh DR Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide h stratum h 1 H immigrating unit 1 M Mp number of immigrating units belonging to stratum h mj number of selected immigrating units belonging to stratum A Son number of imm
59. creation Industries Traveller Accommodation RV Recreational Vehicle Parks and Recreational Camps Rooming and Boarding Houses Full Service Restaurants Limited Service Eating Places Special Food Services Drinking Places Alcoholic Beverages Automotive Repair and Maintenance Electronic and Precision Equipment Repair and Maintenance Commercial and Industrial Machinery and Equipment except Automotive and Electronic Repair and Maintenance Personal and Household Goods Repair and Maintenance Personal Care Services Funeral Services Dry Cleaning and Laundry Services Other Personal Services Religious Organizations 8132 8133 8134 8139 8141 9111 9112 9113 9114 9119 9121 9122 9129 9131 9139 9141 9191 Grant Making and Giving Services Social Advocacy Organizations Civic and Social Organizations Business Professional Labour and Other Membership Organizations Private Households Defence Services Federal Protective Services Federal Labour Employment and Immigration Services Foreign Affairs and International Assistance Other Federal Government Public Administration Provincial Protective Services Provincial Labour and Employment Services Other Provincial and Territorial Public Administration Municipal Protective Services Other Local Municipal and Regional Public Administration Aboriginal Public Administration International and Other Extra Territorial Public Adminis
60. d Clerks Payroll Clerks Tellers Financial Services Banking Insurance and Other Financial Clerks Collectors Administrative Clerks Personnel Clerks Court Clerks Library Clerks Correspondence Publication and Related Clerks Customer Service Information and Related Clerks Survey Interviewers and Statistical Clerks Mail Postal and Related Clerks Letter Carriers Couriers and Messengers Shippers and Receivers Storekeepers and Parts Clerks Production Clerks Purchasing and Inventory Clerks Dispatchers and Radio Operators Special Surveys Division B576 C011 C012 C013 C014 C015 C021 C022 C023 C031 C032 C033 C034 C041 C042 C043 C044 C045 C046 C047 C048 C051 C052 C053 C054 C061 C062 C063 C111 C112 C113 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Transportation Route and Crew Schedulers Physicists and Astronomers Chemists Geologists Geochemists and Geophysicists Meteorologists Other Professional Occupations in Physical Sciences Biologists and Related Scientists Forestry Professionals Agricultural Representatives Consultants and Specialists Civil Engineers Mechanical Engineers Electrical and Electronics Engineers Chemical Engineers Industrial and Manufacturing Engineers Metallurgical and Materials Engineers Mining Engineers Geological Engineers Petroleum Engineers Aerospace Engineers Computer Engineers Other Professional
61. d Inspectors Engineering Inspectors and Regulatory Officers Inspectors in Public and Environmental Health and Occupational Health and Safety Construction Inspectors Air Pilots Flight Engineers and Flying Instructors Air Traffic Control Occupations Deck Officers Water Transport 75 C174 C175 D011 D012 D013 D014 D021 D022 D023 D031 D032 D041 D042 D043 D044 D111 D112 D211 D212 D213 D214 D215 D216 D217 D218 D219 D221 D222 D223 D231 76 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Engineer Officers Water Transport Railway and Marine Traffic Controllers Specialist Physicians General Practitioners and Family Physicians Dentists Veterinarians Optometrists Chiropractors Other Professional Occupations in Health Diagnosing and Treating Pharmacists Dietitians and Nutritionists Audiologists and Speech Language Pathologists Physiotherapists Occupational Therapists Other Professional Occupations in Therapy and Assessment Head Nurses and Supervisors Registered Nurses Medical Laboratory Technologists and Pathologists Assistants Medical Laboratory Technicians Animal Health Technologists Respiratory Therapists and Clinical Perfusionists Medical Radiation Technologists Medical Sonographers Cardiology Technologists Electroencephalographic and Other Diagnostic Technologists n e c Other Medical Technologists and Technicians excep
62. ded from within Canada are excluded from the survey These people may have been in Canada for a considerable length of time before officially landing and would therefore likely demonstrate quite different integration characteristics to those recently arrived in Canada Refugees claiming asylum from within Canada are also excluded from the scope of the survey The target population accounts for approximately 164 200 of the 250 000 persons admitted to Canada during this period Coverage of the survey included all Census Metropolitan Areas and non remote Census Agglomerations 5 2 Survey Frame The target population is represented by the survey frame from which the sample is selected The sampling frame for the LSIC is an administrative database of all landed immigrants to Canada that comes from Citizenship and Immigration Canada The database known as the FOSS Field Operation Support System includes various characteristics of each immigrant that can be used for survey design purposes such as name age sex mother tongue country of origin knowledge of English and or French class of immigrant date of landing and intended province of destination in Canada Detailed information from the FOSS on each immigrant landing during the survey reference period i e October 2000 to September 2001 is provided to Statistics Canada two months after the reference month This allows for the sampling frame to be built month after month by simply adding ne
63. ded to the nearest hundred units using the normal rounding technique In normal rounding if the first or only digit to be dropped is 0 to 4 the last digit to be retained is not changed If the first or only digit to be dropped is 5 to 9 the last digit to be retained is raised by one For example in normal rounding to the nearest 100 if the last two digits are between 00 and 49 they are changed to 00 and the preceding digit the hundreds digit is left unchanged If the last digits are between 50 and 99 they are changed to 00 and the preceding digit is incremented by 1 b Marginal sub totals and totals in statistical tables are to be derived from their corresponding unrounded components and then are to be rounded themselves to the nearest 100 units using normal rounding c Averages proportions rates and percentages are to be computed from unrounded components i e numerators and or denominators and then are to be rounded themselves to one decimal using normal rounding In normal rounding to a single digit if the final or only digit to be dropped is 0 to 4 the last digit to be retained is not changed If the first or only digit to be dropped is 5 to 9 the last digit to be retained is increased by 1 d Sums and differences of aggregates or ratios are to be derived from their corresponding unrounded components and then are to be rounded themselves to the nearest 100 units or the nearest one decimal using normal rounding e In ins
64. deductions R LLLLLLIS 12 3 1 Tabulation of Categorical Estimates Estimates of the number of immigrants with a certain characteristic can be obtained from the microdata file by summing the final weights of all records possessing the characteristic s of interest These estimates may be cross sectional or longitudinal Proportions and ratios of the form X Y are obtained by a summing the final weights of records having the characteristic of interest for the numerator x b summing the final weights of records having the characteristic of interest for the denominator 7 then c divide estimate a by estimate b x i 12 3 2 Tabulation of Quantitative Estimates Estimates of quantities can be obtained from the microdata file by multiplying the value of the variable of interest by the final weight for each record then summing this quantity over all records of interest For example to obtain an estimate of the total amount paid monthly in housing costs multiply the monthly amount of the immigrant s housing costs by the final weight for the record then sum this value over all records for immigrants who live in dwelling units Special Surveys Division 53 54 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide To obtain a weighted average of the form XJY the numerator X is calculated as for a quantitative estimate and the denominator Y is calculated as for a categorical estimate For example to
65. e employed or self employed at the time at the time of the interview Unemployed Persons who have not worked since they came to Canada but have looked for work at some point between their arrival and the Wave 1 interview It also includes persons who had a job between their arrival and the Wave 1 interview but who were not working at the time of the interview Not in the Labour Force Persons who have neither worked nor looked for work since their arrival Longitudinal respondent LR The longitudinal respondent is the person selected to answer the LSIC questions at each of the three waves 8 Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Mover A person who was a member of the longitudinal respondent s immigrating unit but who was not living in the same household at the time of the interview Part time Employment Part time employment consists of persons who usually work less than 30 hours per week at their main or only job PMK Person Most Knowledgeable about a specific subject In the LSIC the only questions asked of the PMK were questions on family income within the Income Module If the PMK is not available the questions are asked to the LR Population Group Refers to the population group to which the respondent belongs It includes visible minorities see definition below as well as Aboriginal peoples Caucasian in race or white in colour Reference period Period of time betwe
66. e quality of tracing source reference month and number of years of school In this model the predictor of being in the population of interest evel of education and age were included by default The classes were constructed using similar probabilities obtained from each respective model The number of classes for each adjustment was defined based on a convergence algorithm ensuring unbiased estimates Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 11 0 Data Quality and Coverage This chapter provides the user with information about the various factors affecting the quality of the survey data There are two main types of errors sampling errors and non sampling errors A sampling error is the difference between an estimate derived from a sample and the one that would have been obtained from a census that used the same procedures to collect data from every person in the population All other types of errors such as frame coverage response processing and non response are non sampling errors Many of these errors are difficult to identify and quantify These are discussed in Section 11 2 11 1 Sampling Errors The estimates derived from this survey are based on a sample of immigrants and not from a complete enumeration census under similar conditions This difference is the sampling error of the estimates Statistics Canada s data quality guidelines have provided users with an indication of the m
67. eachers Special Surveys Division E132 E133 E211 E212 E213 E214 E215 E216 F011 F012 F013 F021 F022 F023 F024 F025 F031 F032 F033 F034 F035 F036 F111 F112 F121 F122 F123 F124 F125 F126 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Elementary School and Kindergarten Teachers School and Guidance Counsellors Paralegal and Related Occupations Community and Social Service Workers Employment Counsellors Instructors and Teachers of Disabled Persons Other Instructors Other Religious Occupations Librarians Conservators and Curators Archivists Writers Editors Journalists Professional Occupations in Public Relations and Communications Translators Terminologists and Interpreters Producers Directors Choreographers and Related Occupations Conductors Composers and Arrangers Musicians and Singers Dancers Actors Painters Sculptors and Other Visual Artists Library and Archive Technicians and Assistants Technical Occupations Related to Museums and Galleries Photographers Film and Video Camera Operators Graphic Arts Technicians Broadcast Technicians Audio and Video Recording Technicians Other Technical Occupations in Motion Pictures Broadcasting and the Performing Arts Special Surveys Division F127 F131 F132 F141 F142 F143 F144 F145 F151 F152 F153 F154 G011 G012 G013 G014 G015 G016 G111 G121 G131 G132 G1
68. ectric Power Generation Transmission and Distribution Natural Gas Distribution Special Surveys Division 2213 2311 2312 2313 2314 2321 2322 2323 2324 2325 2329 3111 3112 3113 3114 3115 3116 3117 3118 3119 3121 3122 3131 3132 3133 3141 3149 Water Sewage and Other Systems Land Subdivision and Land Development Building Construction Engineering Construction Construction Management Site Preparation Work Building Structure Work Building Exterior Finishing Work Building Interior Finishing Work Building Equipment Installation Other Special Trade Contracting Animal Food Manufacturing Grain and Oilseed Milling Sugar and Confectionery Product Manufacturing Fruit and Vegetable Preserving and Specialty Food Manufacturing Dairy Product Manufacturing Meat Product Manufacturing Seafood Product Preparation and Packaging Bakeries and Tortilla Manufacturing Other Food Manufacturing Beverage Manufacturing Tobacco Manufacturing Fibre Yarn and Thread Mills Fabric Mills Textile and Fabric Finishing and Fabric Coating Textile Furnishings Mills Other Textile Product Mills 67 3151 3152 3159 3161 3162 3169 3211 3212 3219 3221 3222 3231 3241 3251 3252 3253 3254 3255 3256 3259 3261 3262 3271 3272 3273 3274 3279 68 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Clothing Knitting Mills Cut and Sew Clothing Manufactur
69. ed 33 5 20 1 20 0 18 0 28 3 After numerous studies of the different rates and characteristics it was fair to assume non random response and resolved patterns Both responding and non responding units as well as resolved and unresolved units showed different patterns Every non random Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide pattern must be corrected with the use of appropriate weight adjustment classes taking into account the characteristics that lead to these different patterns For example if sex is an explanatory variable in the response prediction model i e different response rates for male and female then sex must be used in the correction For these reasons the adjustment weights were calculated in distinct steps for the responding units and for the resolved units as described in Section 10 3 Response and resolution models were used to construct the proper adjustment weights to correct for the fact that there were different response rates and different resolved rates It also stresses the importance of using the final weights in any tabulation or analysis using the LSIC data Any estimation done without the use of weights will produce biased results 11 4 Coverage Coverage is an indication of how a survey frame covers the target population or in the case of the LSIC the population of interest There could be over coverage if the survey frame contains un
70. ed during collection where there was no contact at all with the selected immigrant No information was collected as to their whereabouts Special Surveys Division 31 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Non respondents refers to cases identified during collection where the selected immigrant was somehow located and confirmed to be in Canada but for a given reason could not respond to the interview The interviewers notes were also used to complete the coding Even though both unresolved and non respondent cases result in unusable records the main difference between the two is that in cases of non response the respondent was confirmed to be residing in Canada Table 8 1 Results of Wave 1 Collection by Reference Month and Year Unweighted Non Out of interest Month and Year Respondents population Total October 2000 992 233 533 November 2000 206 497 December 2000 987 437 January 2001 972 500 September 2001 927 211 490 Table 8 2 Results of Wave 1 Collection by Class of Immigrant Unweighted Class of Non Out of interest 6 973 1 117 294 4 186 12 570 Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Table 8 3 Results of Wave 1 Collection by Age Groups Unweighted Non Out of interest 25 34 4 597 676 2 566 7 982 45 64 1 755 429 656 2 910 Table 8 4 Results of Wave 1 Collection by Sex Unweighted Non Out of interest Table
71. en the landing date and the date of the interview Sponsor Canadian Citizens or permanent residents aged 19 or over living in Canada that commit to provide the sponsored immigrant with basic assistance in the form of accommodation clothing food and settlement assistance for a specific period of time Visible Minority Refers to persons other than Aboriginal peoples who are non Caucasian in race or non white in colour Special Surveys Division 9 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 5 0 Survey Methodology The Longitudinal Survey of Immigrants to Canada LSIC was designed to collect longitudinal data on immigrants in order to better understand the process by which new immigrants adapt to Canadian Society This survey will provide information on factors which facilitate or impede their adaptation and the ways that they contribute to Canadian society and the Canadian economy To produce reliable estimates a representative sample of approximately 20 300 new immigrants to Canada was selected This chapter describes the sample selection method and the sample size 5 1 Target Population The target population for the survey consists of immigrants who meet all of the following criteria arrived in Canada between October 1 2000 and September 30 2001 were age 15 or older at the time of landing landed from abroad must have applied through a Canadian Mission Abroad Individuals who applied and lan
72. eral questions included an Other Specify category which allowed the interviewers to enter a text entry for an answer they could not find in the pick list These categories were looked at and in many cases new categories were added to the original questions A category was added to the question if it accounted for 5926 of all answers The new categories were also added to the Wave 2 questionnaire to ensure consistency between the two waves How they are coded Variable specific code sets were created for each variable containing an Other Specify response category and codes were assigned from that list Categories entered in the Other Specify fields might also have been coded up to an existing category when the response element was from the same concept 7 4 Head Office Editing Pre edits Before proceeding with the pre edits databases were created for the main section of the questionnaire for the information collected on the LR s household as well as for each of the roster files The pre edit step is the first of various stages of editing The purpose of the pre edit is to carry out basic formatting and preliminary editing As a first pre edit step Mark all that apply questions were de strung and values converted to Yes 1 or No 2 responses Non response values from the CAI system were also recoded to standard non response codes for refusals don t know and not stated Converting non response codes to standard codes Do
73. eriod of 12 consecutive months Collection is done separately for each month of landing For example immigrants who arrived in October 2000 will be interviewed in April 2001 October 2002 and October 2004 while those who arrived in September 2001 will be interviewed in March 2002 November 2003 and September 2005 Each monthly sample can remain in the field for up to three months Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Landing date October 2000 to September 2001 Wave Collection Start Collection End April 2001 March 2002 December 2002 November 2003 October 2004 September 2005 Wave 1 Collection Collection for the first wave of the survey occurred between April 2001 and May 2002 The majority of interviews 68 were conducted face to face while the remaining 32 were conducted over the telephone for various reasons location of interview specific language requirements etc Interviews were conducted in one of the 15 languages most frequently spoken by the target population English French Chinese Mandarin Cantonese Punjabi Farsi Dari one language Arabic Spanish Russian Serbo Croatian Urdu Korean Tamil Tagalog and Gujarati The 15 languages selected cover approximately 93 of the immigrant population in Canada Interview Length for Household Collection On average the Wave 1 interview lasted approximately 90 minutes Fifteen minutes were devoted to the Ent
74. ers and Aircraft Assembly Inspectors Motor Vehicle Assemblers Inspectors and Testers Electronics Assemblers Fabricators Inspectors and Testers Assemblers and Inspectors Electrical Appliance Apparatus and Equipment Manufacturing 81 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide J215 Assemblers Fabricators and Inspectors Industrial Electrical Motors and Transformers J216 Mechanical Assemblers and Inspectors J217 Machine Operators and Inspectors Electrical Apparatus Manufacturing J221 Boat Assemblers and Inspectors J222 Furniture and Fixture Assemblers and Inspectors J223 Other Wood Products Assemblers and Inspectors J224 Furniture Finishers and Refinishers J225 Plastic Products Assemblers Finishers and Inspectors J226 Painters and Coaters Manufacturing J227 Plating Metal Spraying and Related Operators J228 Other Assemblers and Inspectors J311 Labourers in Mineral and Metal Processing J312 Labourers in Metal Fabrication J313 Labourers in Chemical Products Processing and Utilities J314 Labourers in Wood Pulp and Paper Processing J315 Labourers in Rubber and Plastic Products Manufacturing J316 Labourers in Textile Processing J317 Labourers in Food Beverage and Tobacco Processing J318 Labourers in Fish Processing J319 Other Labourers in Processing Manufacturing and Utilities 82 Special Surveys Division 014 101 102 103 105 201 202 203 204 205 20
75. esaler Distributors New Motor Vehicle Parts and Accessories Wholesaler Distributors Used Motor Vehicle Parts and Accessories Wholesaler Distributors Electrical Plumbing Heating and Air Conditioning Equipment and Supplies Wholesaler Distributors Metal Service Centres Lumber Millwork Hardware and Other Building Supplies Wholesaler Distributors Farm Lawn and Garden Machinery and Equipment Wholesaler Distributors Construction Forestry Mining and Industrial Machinery Equip and Supplies Wholesaler Distributors Computer and Communications Equipment and Supplies Wholesaler Distributors Other Machinery Equipment and Supplies Wholesaler Distributors Recyclable Material Wholesaler Distributors Paper Paper Product and Disposable Plastic Product Wholesaler Distributors Agricultural Supplies Wholesaler Distributors Chemical except Agricultural and Allied Product Wholesaler Distributors Other Miscellaneous Wholesaler Distributors Wholesale Agents and Brokers Automobile Dealers Other Motor Vehicle Dealers Automotive Parts Accessories and Tire Stores Furniture Stores Home Furnishings Stores 69 4431 4441 4442 4451 4452 4453 4461 4471 4481 4482 4483 4511 4512 4521 4529 4531 4532 4533 4539 4541 4542 4543 4811 4812 4821 4831 4832 4841 4842 4851 4852 4853 70 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Electronics and Appli
76. everal sample attrition hypotheses applied to the Wave 3 minimum sample size requirement Examining results from various longitudinal studies of the Canadian population a combined response rate resolved cases and respondent of 75 was estimated for Waves 2 and 3 i e 75 of Wave 1 respondents would respond in Wave 2 and 75 of Wave 2 respondents in Wave 3 In addition various Sources were used to estimate a combined return rate i e after tracing and classification as in scope or out of scope Results from the pilot study and a coverage study on language were used as a source of information Finally Statistics Canada s Reverse Record Check Study RRC was used to estimate the expected tracing rates or rates of resolved cases The sample is selected over a 12 month period A sample allocation proportional to the number of immigrants in each month of landing as well as between strata within a month minimizes the total sampling variance However for operational reasons such as maintaining a constant number of interviews in each month of collection an equal allocation has been performed between the months of landing even though immigration shows a seasonal pattern Table 5 4 presents the final sample size at Wave 1 Table 5 1 Total Number of Immigrants 15 Years and Over by Province and Class of Immigrant October 2000 to September 2001 Economic Economic Government z ea 2977 i23 8 7 22554 26 579 64 346 3 591 2 054 2 123 216
77. g Magnetic and Optical Media Electric Lighting Equipment Manufacturing Household Appliance Manufacturing Electrical Equipment Manufacturing Other Electrical Equipment and Component Manufacturing Motor Vehicle Manufacturing Motor Vehicle Body and Trailer Manufacturing Motor Vehicle Parts Manufacturing Aerospace Product and Parts Manufacturing Railroad Rolling Stock Manufacturing Ship and Boat Building Other Transportation Equipment Manufacturing Household and Institutional Furniture and Kitchen Cabinet Manufacturing Office Furniture including Fixtures Manufacturing Other Furniture Related Product Manufacturing Medical Equipment and Supplies Manufacturing Other Miscellaneous Manufacturing Farm Product Wholesaler Distributors Petroleum Product Wholesaler Distributors Food Wholesaler Distributors Beverage Wholesaler Distributors Cigarette and Tobacco Product Wholesaler Distributors Textile Clothing and Footwear Wholesaler Distributors Home Entertainment Equipment and Household Appliance Wholesaler Distributors Special Surveys Division 4143 4144 4145 4151 4152 4153 4161 4162 4163 4171 4172 4173 4179 4181 4182 4183 4184 4189 4191 4411 4412 4413 4421 4422 Home Furnishings Wholesaler Distributors Personal Goods Wholesaler Distributors Pharmaceuticals Toiletries Cosmetics and Sundries Wholesaler Distributors Motor Vehicle Whol
78. gitudinal Survey of Immigrants to Canada Wave 1 User Guide 1 0 Introduction The Longitudinal Survey of Immigrants to Canada LSIC conducted jointly by Statistics Canada and Citizenship and Immigration Canada under the Policy Research Initiative is a comprehensive survey designed to study the process by which new immigrants adapt to Canadian society The first wave of collection for the LSIC was conducted between April 2001 and March 2002 by Statistics Canada This manual has been produced to facilitate the manipulation of the microdata file of the survey results and to document data quality and other analytical issues regarding the L SIC Any questions about the data set or its use should be directed to Statistics Canada Client Services Special Surveys Division Statistics Canada 2500 R Main Building Tunney s Pasture Ottawa Ontario K1A OT6 Telephone 613 951 3321 or call toll free 1 800 461 9050 Fax 613 951 4527 Email ssd statcan ca Special Surveys Division 1 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 2 0 Background The Longitudinal Survey of Immigrants to Canada is a comprehensive survey designed to study the process by which new immigrants adapt to or integrate into Canadian society including the timing of stages in the integration process as well as the factors which influence integration As part of adapting to life in Canada many immigrants face challenges such as finding
79. hat point of the process there was no information available Consequently the first step of the weighting process was to predict for the unresolved units whether they would have been in the population of interest or not Through models using the information available on the frame and from the resolved units the status of the unresolved units was predicted as PI or OOI as shown in the following diagram 40 Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Predicted in the ae vul population of interest of PI interest OOI M After this first step we have a status predicted or confirmed for each selected unit indicating if they were part of the population of interest or not in the population of interest Note that in the resolved units the population of interest is composed of respondents and non respondents Thus the following notation which will be used in subsequent sections For the unresolved units Sy j S unresolved sampled units J where S NP ET je os unresolved sampled units J predicted as PI JE con unresolved sampled units J predicted as OO For the resolved units 55 i S resolved sampled units where S S Suy S Ro ie Spy resolved non respondents units i i Spe resolved respondents units i i Spro resolved OOI units i 10 3 Longitudinal Weighting for Responding Immigrants The LSIC weighting strategy is based on a serie
80. he imputation was completed In some cases respondent answers especially government sources income were changed to preset maximum or minimum allowable values for that variable Outlier detection was also performed and records identified as outliers were sent for further manual verification and review Missing data were imputed using nearest neighbour donor imputation as well but instead of performing mass imputation of all variables for the entire module imputation was carried out variable by variable Rules for identifying the respondent most similar to the non respondent varied depending on the variable being imputed Once the nearest neighbour imputation was done within record editing was performed again to ensure consistency of the data Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide A list of variables for which imputation was carried out can be found in Table 9 2 The table shows an overall imputation rate for all jobs combined for each of the variables Note that although imputation generally improves overall data quality the artificial data created are used in estimation and can lead to underestimation of the sampling errors This would only be a concern for variables with high imputation rates Table 9 2 Imputation Rates for Income and Earnings A re Variable Number of Number of A Variable Description Imputed Values Imputation Rate in1i021 Other government sources inti024 842 6 18
81. he third wave Since this is the first release all variables will have a 1 in the third position e The fourth character provides information on the type of variable There are six different types of variables c Coded variable A variable coded with standard exhaustive code sets SOC91 Standard Occupational Classification system NAICS North American Industry Classification System and the Census Country Code set d Derived variable A variable calculated usually from two or more collected or coded variables e g household size labour force status etc g Grouped variable Collected coded or derived variables collapsed into groups e g age groups world region etc i Imputation flag Indicates that values in a variable for a respondent were imputed field imputation or that an entire entity was imputed massive imputation Field imputation flag variables directly follow the questions imputed and have an i at the fourth position instead of a q For example the imputation flag variable for in1q003 would be named in1i004 q Collected variable A variable that refers to question which was directly asked to the respondent z Variables obtained from a linkage with administrative records of Citizenship and Immigration Canada Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide e The fifth sixth and seventh characters are a sequential number from 001 to
82. igrants size in immigrating unit 8 in stratum A S gh number of immigrants size adjusted according to a maximum size in immigrating unit 8 in stratum h Obtaining design weight W for each of the immigrants i selected in immigrating unit M n 23 S gh 1 _ g l gh 8 in stratum A M 1 W igh T igh T M nS op Because systematic selection was used a maximum S oh was introduced in strata with a high sampling fraction This was to ensure the selection of only one immigrant per group as mathematically speaking a large group could end up with more than one immigrant selected Hence the truncation by some size measure in those strata Note that this only applies when systematic selection is used 10 3 2 Non response and Unresolved Adjustment Weights For the resolved responding units i S pz the weight adjustment has the following formulation before the post stratification adjustment Intermediate weight design weight non response adjustment unresolved adjustment or desig wet ahis weighted sum of resolved unit weighted sum of resolved and predicted resolved w weighted sum of respondent weighted sum of resolved or algebraically 20 was a M E vf Gi Spr G ie Spy C2 Jeu pr Gy i Sg pi Wint pj MUN i WM S ie Syn ie Syn gt 2 wp 2 n G i Spg Ge ie Sag 2 2 94 2D G ieS G ieS where w wp ns 22 G i Spp Special Surveys Division 43 44 Longitudin
83. ing Clothing Accessories and Other Clothing Manufacturing Leather and Hide Tanning and Finishing Footwear Manufacturing Other Leather and Allied Product Manufacturing Sawmills and Wood Preservation Veneer Plywood and Engineered Wood Product Manufacturing Other Wood Product Manufacturing Pulp Paper and Paperboard Mills Converted Paper Product Manufacturing Printing and Related Support Activities Petroleum and Coal Products Manufacturing Basic Chemical Manufacturing Resin Synthetic Rubber and Artificial and Synthetic Fibres and Filaments Manufacturing Pesticide Fertilizer and Other Agricultural Chemical Manufacturing Pharmaceutical and Medicine Manufacturing Paint Coating and Adhesive Manufacturing Soap Cleaning Compound and Toilet Preparation Manufacturing Other Chemical Product Manufacturing Plastic Product Manufacturing Rubber Product Manufacturing Clay Product and Refractory Manufacturing Glass and Glass Product Manufacturing Cement and Concrete Product Manufacturing Lime and Gypsum Product Manufacturing Other Non Metallic Mineral Product Manufacturing 3311 3312 3313 3314 3315 3321 3322 3323 3324 3325 3326 3327 3328 3329 3331 3332 3333 3334 3335 3336 3339 3341 3342 3343 Iron and Steel Mills and Ferro Alloy Manufacturing Steel Product Manufacturing from Purchased Steel Alumina and Aluminum Production and Processing Non
84. ing is ed1d008 Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 8 0 Non response A survey s response rates are a measure of the effectiveness of the population being sampled the collection process and are also a good indicator of the quality of the estimates produced Perhaps more so than other surveys the Longitudinal Survey of Immigrants to Canada LSIC is faced with a certain level of non response This chapter will provide a summary that distinguishes between three types of non response total partial and unit non response Total non response No information was collected for the sampled unit For total non response some weighting adjustment methods were used to compensate This topic is discussed in more detail in Chapter 10 0 Partial non response At least some socio demographic variables from the Background Module are collected whether or not the other modules are reported Item non response The absence of information is limited only to some pre determined variables but all other variables within the modules are collected Partial and item non response are corrected by various techniques of imputation The two latter topics are discussed in the next section 8 1 Definitions of Responding Unit The following definitions outline the content of the tables below The out of scope population is the population of immigrants who were listed on the sampling frame but after some ve
85. ing was sensitive and it was likely that the respondent would not answer any more questions on this particular topic area In the case of a don t know it was assumed that the respondent was not well enough informed to answer further questions and it was not known if the subsequent questions were applicable As part of the LSIC processing system it was decided that all of these subsequent questions should be assigned a not stated code 2 In some cases sections or entire modules of the questionnaire were not started or they were started but ended prematurely For example there may have been some kind of interruption or the respondent decided that he she wished to terminate the interview If there was enough information collected to consider the module as responded the questions that were not answered would be coded to valid skip If an entire module was not answered mass imputation was performed with the exception of the Values and Attitudes Module and the Perceptions of Settlement Module where questions not answered remained as not stated 3 The third situation in which not stated codes were used was as a result of consistency edits When the relationship between groups of variables was checked for consistency if there was an error often one or more of the variables were set to not stated In the case of derived variables if one or more of the input variables contained a not stated then the derived variable was also set
86. ion required in order to establish imputation strategies to complete the remainder of the questionnaire The partial responding immigrants were then maintained in the responding sample Missing Components and Mass Imputation For the partial responding individuals all variables from the missing components were set to not stated or imputed with the exception of two modules Values and Attitudes and Perceptions of Settlement The questions in these two modules asked about the LR s opinions and perceptions which vary too much to establish a solid mass imputation strategy In total mass imputation to complete partial responses was performed on 5 of all responding records For more information on imputation see Chapter 9 0 Total Responding Records In total 12 040 longitudinal respondent records were determined to be complete enough to be kept in the final file These immigrants had resided in a total of 6 411 places prior to their current place of residence collected in the Where Lived sub module They had taken a total of 6 375 courses or training sessions They reported 13 149 credentials of various kinds They had a total of 7 554 jobs or businesses since landing in Canada Moreover there were 289 people who arrived in Canada with the LR s immigrating unit but were not living with them at the time of the interview movers Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 7 3 Coding
87. ists and Dental Therapists Dental Technologists Technicians and Laboratory Bench Workers Opticians Midwives and Practitioners of Natural Healing Licensed Practical Nurses Ambulance Attendants and Other Paramedical Occupations 3235 3411 3413 3414 4112 4121 4122 4131 4141 4142 4143 4151 4152 4153 4154 4161 4162 4163 4164 4166 Other Technical Occupations in Therapy and Assessment Dental Assistants Nurse Aides Orderlies and Patient Service Associates Other Assisting Occupations in Support of Health Services Lawyers and Quebec Notaries University Professors Post Secondary Teaching and Research Assistants College and Other Vocational Instructors Secondary School Teachers Elementary School and Kindergarten Teachers Educational Counsellors Psychologists Social Workers Family Marriage and Other Related Counsellors Ministers of Religion Natural and Applied Science Policy Researchers Consultants and Program Officers Economists and Economic Policy Researchers and Analysts Business Development Officers and Marketing Researchers and Consultants Social Policy Researchers Consultants and Program Officers Education Policy Researchers Consultants and Program Officers Special Surveys Division 4169 4211 4212 4214 4215 4217 S111 5112 5121 5122 5123 5124 5125 5131 5133 5134 5135 5136 5211 52
88. its that should not have been included such as death duplicates or incorrect date of birth captured on the file There could also be under coverage if the survey frame missed some units that should have been included For the LSIC there was a slight over coverage which was corrected using a post stratification technique on a more up to date file see Section 10 3 3 Special Surveys Division 49 50 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 12 0 Guidelines for Tabulation Analysis and Release This chapter of the documentation outlines the guidelines to be adhered to by users tabulating analyzing publishing or otherwise releasing any data derived from the survey microdata files With the aid of these guidelines users of microdata should be able to produce the same figures as those produced by Statistics Canada and at the same time will be able to develop currently unpublished figures in a manner consistent with these established guidelines 12 1 Rounding Guidelines In order that estimates for publication or other release derived from the Longitudinal Survey of Immigrants to Canada LSIC microdata files correspond to those produced by Statistics Canada users are urged to adhere to the following guidelines regarding the rounding of such estimates a Estimates in the main body of a statistical table are to be roun
89. jibouti 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 Eritrea Ethiopia Kenya Madagascar Malawi Mauritius Mozambique Rwanda Seychelles Somalia United Republic of Tanzania Uganda Zambia Zimbabwe Algeria Egypt Libya Morocco Sudan Tunisia Western Sahara Angola Cameroon Central African Republic Chad Republic of the Congo Equatorial Guinea Gabon Sao Tome and Principe Democratic Republic of the Congo Zaire Botswana Lesotho Namibia Republic of South Africa Swaziland Afghanistan Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 139 Cyprus 140 Iran 141 Turkey 142 Bahrain 143 Iraq 144 Israel 145 Jordan 146 Kuwait 147 Lebanon 148 Oman 149 Palestine West Bank Gaza Strip 150 Qatar 151 Saudi Arabia 152 Syria 153 United Arab Emirates 154 Yemen 155 Armenia 156 Azerbaijan 157 Georgia 158 Kazakhstan 159 Kyrgyzstan 160 Tajikistan 161 Turkmenistan 162 Uzbekistan 163 China 164 Japan 165 North Korea 166 South Korea 167 Mongolia 168 Taiwan 169 Brunei Darussalam 170 Cambodia 171 Indonesia 172 Laos 173 Malaysia 174 Myanmar 175 Philippines Special Surveys Division 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201
90. known as pseudo replication This involves dividing the records on the microdata files into subgroups or replicates and determining the variation in the estimate from replicate to replicate Users wishing to derive coefficients of variation for quantitative estimates may contact Statistics Canada for advice on the allocation of records to appropriate replicates and the formulae to be used in these calculations 13 8 Approximate Quality Release Cut offs The tables below provide the approximate release cut offs for two selected domains These population estimates provide a rough indication of acceptable marginal and unacceptable domain sizes They are meant to be used as approximate guidelines only Users are still responsible to calculate precise CVs before releasing results The use of the CVEM is strongly recommended for better precision Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Approximate Release Cut offs by Class of Immigrant Acceptable Marginal Unacceptable Class of Immigrants cy 66 165 Cv 16 6 33 3 CV gt 33 3 600 amp over 150 to lt 600 under 150 Economic 450 amp over 125 to lt 450 under 125 Refugees 210 amp over 60 to lt 210 under 60 Total 400 amp over 110 to lt 400 Approximate Release Cut offs by Geographical Regions Acceptable Marginal Unacceptable CV 0 0 16 5 CV 16 6 33 3 CV gt 33 3 450 amp over 120 to lt 450 under 120
91. ling errors that are not related to sampling but may occur at almost any phase of a survey operation Interviewers may misunderstand survey instructions respondents may make a mistake in answering the questions responses may be recorded in the questionnaire incorrectly or errors may be made in the processing or tabulating of the data For the LSIC quality assurance measures were implemented at each phase of the data collection and processing cycles to monitor the quality of the data These measures included precise interviewer training with respect to the survey procedures and questionnaire observation of interviews to detect questionnaire design problems or misinterpretation of instructions monitoring of final coding and coding and edit quality checks to verify the processing logic Chapter 7 0 outlines data processing procedures Other kinds of non sampling error are more easily quantifiable especially non response and the population frame coverage the topics of the next two sections 11 3 Non response and Unresolved Cases Non response and unresolved cases if not appropriately corrected are the types of error that can lead to bias in the survey estimates For the LSIC these two types of response categories reduced significantly the number of usable records Biased estimates can occur when unusable units have significantly different characteristics from the usable ones In the evaluation stage studies were completed to understand the non res
92. milar concept and from the exact same respondent For example date of birth is not reported on the questionnaire by Mr X However there is an administrative file which contains the date of birth of Mr X The use of the date of birth found on the administrative file is considered deterministic imputation For the Longitudinal Survey of Immigrants to Canada LSIC if a respondent did not report information for certain pre determined variables the information was imputed from the Field Operations Support System FOSS The FOSS values were used as if they were reported information Two imputation techniques were also performed specifically for the Income Module nearest neighbour donor imputation for some fields and median imputation for certain identified outliers The next two sections include respectively a description of nearest neighbour donor imputation and the techniques used for imputation in the Income Module 9 1 Mass Imputation For partial non response mass imputation for the non reported modules was carried out using the nearest neighbour donor technique The donor imputation method generally will not alter the distribution of the data which is a drawback of many other imputation techniques The nearest neighbour donor technique is a widely used technique for treating non response It aims at replacing missing information for a respondent with values provided from another respondent who is similar to him her It works in the follo
93. n IIoc lec ete deese ended dei raices dee 57 13 1 Importance of the Variance nennen ener entren 57 13 2 SAS and STATA Macros to Calculate the Variance Using the Bootstrap Weights 57 18 3 Excel Based Coefficient of Variation Extraction Module 58 13 3 1 Statistics Canada Quality Standards sse 58 13 4 How to Derive the Coefficient of Variation for Categorical Estimates 60 13 5 How to Use the Coefficient of Variation to Obtain Confidence Limits 60 13 6 Hypothesis Testing t test dsa nE uoaa Aaa EENE aAA REAU AIR 62 13 7 Coefficients of Variation for Quantitative Estimates ssssssssseeee 62 13 8 Approximate Quality Release Cut offs sssssssssssssseeeee enne 62 Record Layout with Univariate Frequencies eeeeseseeeeeeeeeeeeseee enne nna 65 Appendix Industry Codes North American Industry Classification System NAICS 1997 67 Appendix II Occupation Codes Standard Occupational Classification SOC 1991 73 Appendix Ill Country Codes 2001 Census ssscccseeeeeseesseeeeseeeeneneeseaesesaeenseeeeeneesseaeseneeeenseeeeeas 83 Appendix IV Country of Citizenship Codes 2001 Census 0 cceseeeeseseeeeeeseseeneesesenenseseenees 87 Appendix V Intended Occupation Codes National Occupational Classification NOC 2001 91 Special Surveys Division Lon
94. n t know During a CAI interview the respondent may not know the answer to a particular item The CAI System has a specific function key to describe this situation In the LSIC files the code used to indicate that the respondent did not know the answer to an item is 7 For a variable that is two digits long the code is 97 for a three digit variable 997 etc Refusals The respondent may choose to refuse to provide an answer for a particular item The CAI System has a specific function key that the interviewer presses to indicate a refusal This information is recorded for the specific item refused and transmitted back to Head Office In the LSIC files an item which was refused is indicated by a code 8 For a variable that is two digits long the code is 98 for a three digit variable 998 etc Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Not stated In some cases as part of Head Office processing the answer to an item has been set to not stated The not stated code indicates that the question was not asked of the respondent These codes were assigned for three main reasons 1 As part of the CAI interview the interviewer was permitted to enter a refusal or don t know code as described above When this happened the CAI system was often programmed to skip out of this particular section of the questionnaire In the case of refusal it was assumed that the line of question
95. n value would be less than one standard error about 95 out of 100 that the difference would be less than two standard errors and about Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 99 out of 100 that the differences would be less than three standard errors These different degrees of confidence are referred to as the confidence levels Confidence intervals for an estimate X are generally expressed as two numbers one below the estimate and one above the estimate as x k Xa k where k is determined depending upon the level of confidence desired and the sampling error of the estimate The 9596 confidence intervals for an estimate are available directly in the CV spreadsheet If the user wants to determine other confidence intervals the following formula will convert to a confidence interval CI Cl Ra X a where a is the determined coefficient of variation for X and t 1 if a 68 confidence interval is desired t 1 6 if a 90 confidence interval is desired t 2 6 if a 99 confidence interval is desired Warning Note on Confidence Intervals Release guidelines which apply to the estimate also apply to the confidence interval For example if the estimate is marginal then the confidence interval is marginal and should be accompanied by a warning note to caution subsequent users about high levels of error associated with the estimate Example of Using the C
96. nd Shoemakers Jewellers Watch Repairers and Related Occupations Printing Press Operators Commercial Divers Other Trades and Related Occupations Residential and Commercial Installers and Servicers Waterworks and Gas Maintenance Workers Automotive Mechanical Installers and Servicers Pest Controllers and Fumigators Other Repairers and Servicers Heavy Equipment Operators except Crane Public Works Maintenance Equipment Operators Crane Operators 79 H622 H623 H711 H712 H713 H714 H721 H722 H731 H732 H733 H734 H735 H736 H737 H811 H812 H821 H822 H831 H832 1011 1012 1013 1014 1015 1016 1017 1021 80 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Drillers and Blasters Surface Mining Quarrying and Construction Water Well Drillers Truck Drivers Bus Drivers and Subway and Other Transit Operators Taxi and Limousine Drivers and Chauffeurs Delivery Drivers Railway and Yard Locomotive Engineers Railway Conductors and Brakemen women Railway Yard Workers Railway Track Maintenance Workers Deck Crew Water Transport Engine Room Crew Water Transport Lock and Cable Ferry Operators and Related Occupations Boat Operators Air Transport Ramp Attendants Longshore Workers Material Handlers Construction Trades Helpers and Labourers Other Trades Helpers and Labourers Public Works and Maintenance Labourers Railway and Motor Transport Lab
97. nd Sport Retail Trade Supervisors Food Service Supervisors Technical Sales Specialists Wholesale Trade Insurance Agents and Brokers Real Estate Agents and Salespersons Retail and Wholesale Buyers Chefs Cooks Butchers and Meat Cutters Retail and Wholesale Bakers 95 6261 6262 6271 6411 6421 6431 6432 6433 6434 6441 6442 6443 6451 6452 6453 6465 6471 6472 6473 6474 6482 6621 96 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Police Officers Except Commissioned Firefighters Hairstylists and Barbers Sales Representatives Wholesale Trade Non Technical Retail Salespersons and Sales Clerks Travel Counsellors Pursers and Flight Attendants Airline Sales and Service Agents Ticket Agents and Cargo Service Representatives and Related Clerks Except Airline Tour and Travel Guides Outdoor Sport and Recreational Guides Casino Occupations Maitres d h tel and Hosts Hostesses Bartenders Food and Beverage Servers Other Protective Service Occupations Visiting Homemakers Housekeepers and Related Occupations Elementary and Secondary School Teacher Assistants Early Childhood Educator Assistants Babysitters Nannies and Parent s Helpers Estheticians Electrologists and Related Occupations Service Station Attendants 6622 6623 6631 6641 6642 6651 6661 6663 7212 7216 7217 7219 7221 7
98. nder Marital status Labour force status Highest level of education Knowledge of official language Target proportion The theoretical proportion used to simulate a variable Can take the values 1 5 10 15 20 30 40 or 50 Yhat The mean of 100 calculated proportions This figure should be close to the target proportion N The average sample size of the specified domain from 100 repetitions The mean of 100 variances for the specified domain The mean of 100 standard errors for the specified domain The mean of 100 at the 95 confidence interval lower boundary The mean of 100 at the 95 confidence interval upper boundary As a reference the following quality standards should be used 1 An estimate is said to be acceptable if it has a sample size of 10 or more and low coefficient of variation in the range of 0 0 to 16 5 2 An estimate is said to be marginal if it has a sample size of 10 or more and high coefficient of variation in the range of 16 6 to 33 3 This estimate should be accompanied by a warning to caution subsequent users about the high level of error associated with the estimate 3 An estimate is said to be unacceptable if it has a sample size of less than 10 or very high coefficient of variation in excess of 33 396 Statistics Canada recommends not to release estimates of unacceptable quality see Section 12 5 For more information see
99. nnn assigned to the question inside a file The order of the questions will closely match the order of the Wave 1 questionnaire but changes in the Wave 2 questionnaire will have a serious impact on this order starting in Wave 2 Users should be very cautious when using the order and the name of questions They should always refer to the survey s documentation Whenever possible grouped variable names correspond to the variable that it is grouping whether it is a derived variable or a regular question Derived variables usually follow the question variables and have their own sequential number from 001 to nnn e The LSIC Wave 1 variables are comprised of seven characters The eighth and last character a letter will be reserved to indicate important changes to a variable from one wave to another that could affect the comparability of the two variables For example it will be used to mark an addition or deletion to the answer categories associated with a question Also some revisions were made to the content of the questionnaire between waves If the revision resulted in a change to the meaning or the values of a question the variable will be treated as new and will have an eighth character This last character does not apply to Wave 1 questions Table 7 3 Examples of Variable Names Co omme BENNETT HN ee enemies OOOO The second question on the Citizenship file Why did you choose to come to Canada To join family or close friends e g
100. nown to correctly approximate the true value of the variance A file containing 1 000 bootstrap weights is available Variance calculation using 1 000 bootstrap weights involves calculating the estimates with each of these 1 000 weights and then calculating the variance of these 1 000 estimates Two user friendly tools both using the bootstrap weights have been developed to help users calculate the variance and the CVs for their estimates These tools are Macros to calculate the variance using bootstrap weights programmed for SAS and STATA users An Excel based CV extraction module CVEM for totals and proportions which produces approximate CVs for a large number of domains The use of one or more of these tools depends on the type of analysis and the level of precision required 13 2 SAS and STATA Macros to Calculate the Variance Using the Bootstrap Weights SAS and STATA macros have been developed to calculate the variance using the bootstrap weights Of the different methods available this method produces the best approximation of the true variance With this method it is possible to calculate the variance of any estimate for any domain The variance calculated using this method Special Surveys Division 57 58 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide takes into account the sample design and the specifics of the variable of interest Finally as opposed to the other methods the user is not res
101. oefficient of Variation to Obtain Confidence Limits A 90 confidence interval for the estimated proportion of women having a university degree would be calculated as follows X 47 4 or expressed as a proportion 0 474 t 1 6 a 1 21 0 0121 expressed as a proportion is the coefficient of variation of this estimate as derived using the bootstrap weights CI 0 474 1 6 0 474 0 0121 0 474 1 6 0 474 0 0121 CI 0 474 0 009 0 474 0 009 CI 0 465 0 483 Hence with a 90 level of confidence it can be said that between 46 5 and 48 3 of women have a university degree Special Surveys Division 61 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 13 6 Hypothesis Testing t test Standard errors may also be used to perform hypothesis testing a procedure for distinguishing between population parameters using sample estimates The sample estimates can be numbers averages percentages ratios etc Tests may be performed at various levels of significance where a level of significance is the probability of concluding that the characteristics are different when in fact they are identical Let and X be sample estimates for two characteristics of interest The standard error for the difference X R can be obtained through the programs that use the bootstrap weights Let the standard error on the difference be O A A f t es is between 2 and 2 then no conclusi
102. of spreadsheets giving an approximate CV for eight different proportions in each of the domains for a total of over 260 000 CV s Simulations were run to calculate variances coefficients of variation and confidence intervals at the 95 level for different proportions i e 1 5 10 15 20 30 4096 and 5096 These proportions were based on population distribution For a given repetition the observed proportion in the random sample can be different from that of the targeted proportion Therefore the mean of 100 repetitions was used to account for that variability 13 3 1 Statistics Canada Quality Standards Users should note that for disclosure issues when using a dichotomous variable both the sample size and the CV should be publishable simultaneously Users should always ensure the quality of the estimates especially for smaller proportions obtained from small domains To help users identify high CVs color coding has been used in the Excel application when displaying a CV Using the markers described below the colors used are red for CV s in excess of 33 396 and yellow for the ones in the range of 16 6 to 33 3 More details are provided in the CVEM User s Guide Below is a list of the variables available in the CVEM Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Field Description Class of immigrant Age group Geographical residence Place of birth Ge
103. on about the difference between the characteristics is justified at the 596 level of significance If however this ratio is smaller than 2 or larger than 2 the observed difference is significant at the 0 05 level That is to say that the difference between the estimates is significant 13 7 Coefficients of Variations for Quantitative Estimates For quantitative estimates special tables would have to be produced to determine their sampling error Since most of the variables for the LSIC are primarily categorical in nature this has not been done As a general rule however the coefficient of variation of a quantitative total will be larger than the coefficient of variation of the corresponding category estimate i e the estimate of the number of persons contributing to the quantitative estimate If the corresponding category estimate is not releasable the quantitative estimate will not be either For example the coefficient of variation of the total number of hours of class for women attending university courses would be greater than the coefficient of variation of the corresponding proportion of women attending university courses Hence if the coefficient of variation of the proportion is not releasable then the coefficient of variation of the corresponding quantitative estimate will also not be releasable Pseudo Replication Coefficients of variation of such estimates can be derived as required for a specific estimate using a technique
104. ongitudinal Survey of Immigrants to Canada Wave 1 User Guide West Central Asia N O S China People s Republic of China Hong Kong Japan North Korea South Korea Korea N O S Macau Mongolia Taiwan Eastern Asia N O S Brunei Darussalam Cambodia Indonesia Laos Malaysia Myanmar Philippines Singapore Thailand Vietnam South East Asia N O S Bangladesh Bhutan India Maldives Nepal Pakistan Sri Lanka Southern Asia N O S East Timor Kurdistan Asia N O S American Samoa Australia 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 829 994 Cook Islands Fiji French Polynesia Guam Kiribati Marshall Islands Federated States of Micronesia Nauru New Caledonia New Zealand Palau Papua New Guinea Pitcairn Island Solomon Islands Tonga Tuvalu U S Pacific Trust Territories Vanuatu Wallis and Futuna Samoa Oceania N O S Other Special Surveys Division oo ON OO CO 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 81 32 33 34 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Appendix IV Country of Citizenship Codes 2001 Census Minor differences exist between this list and the one used by the 2001 Census United States Belize Costa Rica EI Salvador Guatemala Honduras Mexico Nicaragua Panama Antigua and Barbuda Bahamas Barbados Cuba Dominica
105. or French syntax cards Table 7 2 Text File Structures Filenames File Description LSIC W1 MAIN Master txt This file includes the following entities LR Cl Sl GO HS HL LS ED EM VA IN PS LSIC W1 HH Master txt This file includes information collected on the respondent s household LSIC W1 CR Master txt This file includes variables collected in the Education Credentials sub module LSIC W1 JB Master txt This file includes variables collected in the Employment Roster and Employment Details sub modules LSIC W1 ST Master txt This file includes variables collected in the Education Roster and Education Details sub modules LSIC W1 WL Master txt This file includes variables collected in the Where Lived sub module 2 Entities Each entity described in Table 7 1 is contained in its own SAS file These files or specific variables from these files can be merged using the Integrated Extraction Program IXP which is explained in Section 7 6 or other analytical software such as SAS SPSS STATA etc All LSIC files include a unique identifier key referred to as the Household identifier variable name HHLDID that only pertains to the longitudinal respondent All LSIC files can be merged using this key variable Other identifiers are included on all roster files to make each record unique since there might have been zero to many events collected for one HHLDID The list of the key variables for all files is shown in
106. or read Is1g080 to Is19086 some respondents reported languages they had already mentioned in previous questions of the module They should have excluded these Those languages were then blanked out from the file If these were the only languages reported for this variable the Special Surveys Division 27 28 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide question Are there any other languages other than those you have already mentioned that you can speak or read at least to some degree Is13079 was changed to No Outcome of the consistency edits When a consistency edit problem was found there were two possible actions either to change the response to what should have been the correct answer or change the response to not stated 7 8 Naming Convention The LSIC microdata file documentation system has employed certain standards to label variable names and values The intent is to make data interpretation more straight forward for the user All variable names are at most eight characters long most are 7 long so that these names can easily be used with analytical software packages such as SAS or SPSS Format for Variable Names e The first two characters are the acronym of the entity to which the item belongs See Table 7 1 for descriptions e The third digit of the variable name refers to the LSIC wave 1 indicates the first wave 2 will indicate the second wave and 3 will indicate t
107. ourers Farmers and Farm Managers Agricultural and Related Service Contractors and Managers Farm Supervisors and Specialized Livestock Workers Nursery and Greenhouse Operators and Managers Landscaping and Grounds Maintenance Contractors and Managers Supervisors Landscape and Horticulture Aquaculture Operators and Managers General Farm Workers 1022 I111 I121 I122 I131 I132 I141 I142 I151 I161 I162 I171 I172 I181 I182 1211 1212 1213 1214 1215 1216 JO11 J012 J013 J014 J015 J016 J021 J022 Nursery and Greenhouse Workers Supervisors Logging and Forestry Supervisors Mining and Quarrying Supervisors Oil and Gas Drilling and Service Underground Production and Development Miners Oil and Gas Well Drillers Servicers Testers and Related Workers Underground Mine Service and Support Workers Oil and Gas Well Drilling Workers and Services Operators Logging Machinery Operators Chain saw and Skidder Operators Silviculture and Forestry Workers Fishing Masters and Officers Fishing Vessel Skippers and Fishermen women Fishing Vessel Deckhands Trappers and Hunters Harvesting Labourers Landscaping and Grounds Maintenance Labourers Aquaculture and Marine Harvest Labourers Mine Labourers Oil and Gas Drilling Servicing and Related Labourers Logging and Forestry Labourers Supervisors Mineral and Metal Processing Supervisors Petroleum Gas and Chemical Processing
108. pes of jobs or have other important assets to bring to Canada They apply on their own or have more distant relatives living in Canada Refugees Persons seeking protection in Canada Immigrant Settlement and Adaptation Program ISAP A program in which funds are provided to deliver direct and essential services to newcomers These services include reception and orientation translation and interpretation referral to community resources para professional counselling general information and employment related services Immigration Consultant A professional who gives advice or services related to immigration issues Immigrant or Refugee Serving Agency An organized body catering to the needs of immigrants or refugees Immigrating Unit Refers to a group of people who applied to come to Canada under the same visa form and for the purpose of the survey who arrived either with the longitudinal respondent or three months before or after the longitudinal respondent Immigration Officer A Canadian official who processes the authorization of immigrants upon arrival in Canada Integration The process through which newcomers participate in and shape Canadian community Joiner A person who was not a member of the longitudinal respondent s LR immigrating unit but who was living in the same household at the time of the interview This includes people who were already living in Canada when the LR arrived Labour Force Status Employed Wer
109. ponse mechanism Results showed that non response units and unresolved units displayed different patterns and different rates were obtained for different characteristics of immigrants Table 11 1 provides the sample distribution by response category for each class of immigrant It shows that for the refugees and economic classes there were higher rates of responding units once resolved than for the family class even though they had lower resolved rates For the family class about 79 9 of the sample was resolved while 20 1 remained unresolved In the economic classes 66 5 of cases were resolved while 80 0 were resolved for the refugee classes The rates of responding units once resolved for the economic family and refugee classes were 83 2 78 9 and 88 4 respectively Family class had a higher rate of non response One possible explanation for the higher non response for this class may be due to language barriers which occur for many family class immigrants coming to Canada to join family members This hypothesis was studied and this variable was one of the explanatory variables in the response prediction model described in Section 10 3 4 Table 11 1 Results of Wave 1 Data Collection by Class of Immigrant Results Economic Family Refugees Other Total Resolved 66 5 79 9 80 0 82 0 71 8 In scope responding 83 2 78 9 88 4 88 2 82 7 In scope non responding 13 3 18 7 10 6 11 0 14 5 Out of scope 3 5 2 3 1 0 0 8 2 8 Unresolv
110. produces a mean weight of 1 and a sum of weights equal to the sample size The benefit of this adjusted weight is that an overestimation of the significance level which is very sensitive to sample size is avoided while maintaining the same distributions as those obtained when using the demographic weight The disadvantage is that the numerator is not weighted up to the target population Users should also note that some software packages may not allow the generation of estimates that exactly match those available from Statistics Canada because of their treatment of the weight field 12 3 Definitions of Types of Estimates Categorical and Quantitative The LSIC file has been set up so that the longitudinal respondent is the unit of analysis The weight that can be found on each record WT1L is an immigrant the longitudinal respondent weight Estimates of the respondent s children or spouse cannot be generated from the LSIC microdata file Categorical Estimates Categorical estimates are estimates of the number or percentage of the surveyed population possessing certain characteristics or falling into some defined category The number or the proportion of immigrants who plan to purchase a house or an apartment in the next few years are examples of such estimates An estimate of the number of persons possessing a certain characteristic may also be referred to as an estimate of an aggregate Examples of Categorical Questions Q Do
111. r Guide The adjustment has the following form new counts at the post strata Final weight int ermediate weight estimated population counts using the intermedia ry weights or algebraically for iE Spx N 2UI ES DUM x f int HI ie Sep ie Sep 25 2 Win gp b gt Win Oo pst i Spp pst i Sro 10 3 4 Adjustment Classes Homogeneous Groups The weight adjustment classes as well as the post stratification groups are constructed under the same assumption They must be homogeneous groups related to the correction being made the non response adjustment classes are constructed based on the homogeneity of responses within a class meaning that they have the same probability of response The unresolved adjustment classes were constructed based on homogeneity or a similar propensity of being resolved and being in scope For the LSIC the non response and the unresolved adjustment classes were derived based on a logistic regression predicting respectively the response probability and the resolution probability For the latter model the explanatory variables for predicting the population of interest status were included by default in the model The predictors or explanatory variables for the model predicting responses were class of immigrant age group level of education knowledge of official language and mother tongue The explanatory variables for the model predicting the propensity of being resolved wer
112. r the management of the collection process The Case Management system routes the questionnaire applications and sample file from headquarters to the regional offices and from the regional offices to the interviewer laptops The returning data takes the reverse route To assure confidentiality all data is encrypted before transmission The data are unencrypted only once they are on a separate secure computer with no external access 2 Survey specific Components Locating Respondents The Wave 1 LSIC target population consists of immigrants who have been in Canada for only six months During the first few months after landing new immigrants are a very mobile population Because of this mobility and the short period of time living in Canada prior to the interview the resources to trace respondents are limited To help locate respondents a contact questionnaire was designed to request the immigrant s address in Canada if known as well as the address of a contact person in Canada The form also contained a consent statement asking the respondent to grant Statistics Canada permission to access information held by other federal provincial organizations such as a provincial health department for tracing purposes only The form was enclosed in the materials provided to immigrants when they receive their landing visa from a Canadian Mission Abroad Access to additional tracing information was only granted with consent from the potential respondent
113. responding and unresolved units which are part of the variability of the estimates This chapter explains why it is important to calculate the variance and presents different tools to do so 13 1 Importance of the Variance The variance of an estimate is a good indicator of the quality of the indicator A high variance estimate is considered unreliable In order to quantify large variance a relative measure of the variability is used namely the coefficient of variation CV The coefficient of variation is defined as the ratio of the square root of the variance over the estimate The square root of the variance is also known as a standard deviation The coefficient of variation as opposed to the variance allows the analyst to compare estimates of different magnitudes along the same scale As a result it is possible to assess the quality of any estimate with the CV Most importantly variance or the CV is required for statistical tests such as hypothesis tests which determine if two estimates are statistically different Consequently variance or CV calculation is mandatory Method to Obtain the Variance of an Estimate It is almost impossible to derive an exact formula to calculate the variance for the LSIC due to the complex sample design weight adjustments and post stratification A very good way to approximate the true variance is to use the replicate method namely the bootstrap method This method is based on a replicate technique and is k
114. rification steps did not meet the criteria of the target population Other examples of the out of scope population are immigrants who arrived under student visas were deceased resided in one of the territories or were institutionalized Note that the out of scope population also includes the out of interest population which is defined as immigrants in the target population who are not included in the population of interest because they are no longer residing in Canada This population of immigrants meets all criteria but are not included in the final weights for the population of interest The population of interest is the population for which the variables of interest are being estimated in relation to the survey objectives The LSIC survey objectives pertain to the integration of immigrants in Canada hence immigrants no longer residing in Canada are not included in the population of interest A responding immigrant is the immigrating unit member selected as longitudinal respondent LR for whom there is usable minimal information on the questionnaire After verification that the appropriate selected immigrant had been contacted and responded to the survey some mandatory fields were identified in order to determine the extent of usable information and subsequent imputation After this verification 12 040 usable records were identified as responding units More details are available in Chapter 5 0 Unresolved or untraced refers to cases identifi
115. ry and Exit components and the remaining 75 minutes to the survey Special Surveys Division 17 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 7 0 Data Processing The main output of the Longitudinal Survey of Immigrants to Canada LSIC is a clean master data file This chapter presents a brief summary of some of the processing steps involved in producing this file 7 1 Initial Application Editing Computer Generated Edits As discussed earlier all of the information for the sampled individuals was collected in a face to face or telephone interview when a face to face was not possible using a computer assisted personal interviewing CAPI application As such it was possible to build various edits and checks into the questionnaire in order to ensure that a high quality of the information was collected Below are specific examples of the types of edits used in the LSIC computer assisted interviewing CAI application Flow Pattern Edits All flow patterns were automatically built into the CAI system For example for questions pertaining to a spouse partner or child the CAI system would automatically refer to the relationship information of all household members collected in the Entry Module to determine whether the longitudinal respondent LR had a spouse partner or child living with them If a spouse partner or child was present the CAI system continued with the specific questions related to them If not the C
116. s for a responding immigrant No Information Collected In some cases no LSIC information was collected for a sampled individual This happened when an interviewer was unable to trace a selected immigrant or was not able to make contact for the entire collection period In other cases the individual refused to participate in the survey was away for the duration of the collection period or language barriers an individual who did not speak one of the 15 survey languages prevented an interview from taking place For cases where no information at all was collected for an immigrant the individual was dropped from the LSIC file and the sampling weights for responding immigrants were inflated to account for these dropped immigrants Partial Information In other cases it was possible to carry out some of the interview but a complete interview was not obtained for a variety of reasons Some respondents were willing to give only a certain amount of time to the completion of the survey In some cases an interviewer completed a portion of the survey with the respondent and made an appointment to continue at another time but was unable to re contact the respondent Criteria for Partial Response It was necessary to come up with criteria for deciding what to do with these partial interviews It was decided to consider as partial response any immigrant who answered the entire Entry and Background Modules the first two modules This was the informat
117. s of cascading adjustments The final longitudinal weight is obtained by applying various adjustments to the basic initial design weight There are four weights involved in the weighting process which will compose the final weight the design weight the non response adjustment weight the resolved adjustment weight and finally the post stratification weight Table 10 1 shows the relationship between the different categories of outcomes related to the adjustment Special Surveys Division 41 42 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Table 10 1 Process of Classifying the Respondents Outcome Status Selection racing Sems Response O O Responding units PI Refusal In scope units P Non responding units Language problems LR absent Other non response Sampled units Resolved units OOl Left Canada dead etc Unresolved units Note that on the microdata file only the responding resolved units 7 S pp have a final weight as they are the only units which have fully completed records As for the out of interest population i Sro they also have a final weight but are not available on the microdata file as they do not have full records Only tabulations of this sub population using the final weights are available The subsequent sections describe the design weights Section 10 3 1 the two weight adjustments i e non response and unresolved Section 10 3 2 and finally post stratifi
118. s of federal and provincial government departments The following subgroups have been over sampled government sponsored refugees refugees other than government sponsored contractor and investor immigrants economic business family immigrants in British Columbia overall immigrants in Alberta and economic immigrants in Qu bec economic skilled and economic business PAE OMS The stratification allows for control over the sample sizes for each of the additional samples subgroups Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Tables 5 1 5 2 and 5 3 provide a breakdown of the population based on the sampling frame and of the sample allocation for the core and additional samples expected at Wave 3 For the core sample it was determined that 5 000 completed interviews at Wave 3 would produce reliable estimates at the national level the provincial level where the in flow of immigrants is the most significant Qu bec Ontario and British Columbia and for certain classes of immigrants family and economic classes Also it would be possible to obtain reliable estimates for other combinations of variables as long as a minimum number requirement is met After taking into account the requirements for the additional samples outlined above the minimum number of completed interviews at Wave 3 is expected to be 5 755 immigrants The determination of the sample size for Wave 1 is based s
119. s to try and locate the respondent Electronic phone books were the only effective public source used for tracing The following sources of information were used for tracing the selected respondents of the first wave administrative files from Citizenship and Immigration Canada survey contact questionnaires addresses from provincial health cards where an agreement with the province was reached and consent was given by the respondent and electronic phone books Qu bec Ontario and British Colombia Person Most Knowledgeable The LSIC is a non proxy interview with the exception of one section of questions family income questions within the Income Module The person most knowledgeable PMK about the family s income was asked to respond to these questions only 6 2 Collection Collection Period The survey uses a longitudinal design meaning the same selected respondent will be interviewed at three different points in time The first of the three interviews is conducted six months after the respondent arrives in Canada since it is desirable to assess their integration as soon as possible after they arrive The second interview takes place two years after their arrival and the final interview is conducted four years after their arrival To adequately represent the different immigration patterns in Canada over a one year period the sample is made up of 12 cohorts consisting of 12 independent monthly samples selected over a p
120. spectors Architectural Technologists and Technicians Industrial Designers Drafting Technologists and Technicians Mapping and Related Technologists and Technicians Engineering Inspectors and Regulatory Officers Inspectors in Public and Environmental Health and Occupational Health and Safety Construction Inspectors Air Pilots Flight Engineers and Flying Instructors Air Traffic Control and Related Occupations Specialist Physicians General Practitioners and Family Physicians Dentists Veterinarians Chiropractors Pharmacists Dietitians and Nutritionists 93 3141 3142 3143 3144 3152 3211 3212 3213 3214 3215 3216 3218 3219 3221 3222 3223 3231 3232 3233 3234 94 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Audiologists and Speech Language Pathologists Physiotherapists Occupational Therapists Other Professional Occupations in Therapy and Assessment Registered Nurses Medical Laboratory Technologists and Pathologists Assistants Medical Laboratory Technicians Veterinary and Animal Health Technologists and Technicians Respiratory Therapists Clinical Perfusionists and Cardio Pulmonary technologists Medical Radiation Technologists Medical Sonographers Electroencephalographic and Other Diagnostic Technologists n e c Other Medical Technologists and Technicians except Dental Health Denturists Dental Hygien
121. suitable accommodation learning or becoming more fluent in one or both of Canada s official languages participating in the labour market or accessing education and training opportunities The results of this survey will provide indicators of how immigrants are meeting these and other challenges and what resources are most helpful to their settlement in Canada The survey also examines how the socio economic characteristics of immigrants influence the process by which they integrate into Canadian society The topics covered by the survey include language proficiency housing education foreign credentials recognition employment health values and attitudes the development and use of social networks income and impressions about life in Canada The questions address respondents situation before coming to Canada and their current situation since their arrival The questionnaire also covers the respondent s impressions and perceptions of his or her current settlement situation With the exception of the module on income in which the person most knowledgeable about the subject is asked to respond no interview may be conducted by proxy Some modules also contain questions on members of the household such as questions on employment income or demographic characteristics and on children such as education questions However the unit of analysis for the survey is the selected immigrant referred to as the longitudinal respondent LR Special
122. t Dealers and Traders Other Financial Officers Specialists in Human Resources Professional Occupations in Business Services to Management Bookkeepers Loan Officers Insurance Adjusters and Claims Examiners Insurance Underwriters Assessors Valuators and Appraisers Customs Ship and Other Brokers Secretaries except Legal and Medical Legal Secretaries Medical Secretaries Court Recorders and Medical Transcriptionists Administrative Officers Executive Assistants Personnel and Recruitment Officers Property Administrators Purchasing Agents and Officers Conference and Event Planners Court Officers and Justices of the Peace Immigration Unemployment Insurance and Revenue Officers Supervisors General Office and Administrative Support Clerks Supervisors Finance and Insurance Clerks B413 B414 B415 B511 B512 B513 B514 B521 B522 B523 B524 B531 B532 B533 B534 B535 B541 B542 B543 B551 B552 B553 B554 B561 B562 B563 B571 B572 B573 B574 B575 Supervisors Library Correspondence and Related Information Clerks Supervisors Mail and Message Distribution Occupations Supervisors Recording Distributing and Scheduling Occupations General Office Clerks Typists and Word Processing Operators Records and File Clerks Receptionists and Switchboard Operators Computer Operators Data Entry Clerks Typesetters and Related Occupations Telephone Operators Accounting and Relate
123. t Dental Health Denturists Dental Hygienists and Dental Therapists Dental Technicians and Laboratory Bench Workers Opticians D232 D233 D234 D235 D311 D312 D313 E011 E012 E021 E022 E023 E024 E025 E031 E032 E033 E034 E035 E036 E037 E038 E111 E112 E121 E131 Midwives and Practitioners of Natural Healing Registered Nursing Assistants Ambulance Attendants and Other Paramedical Occupations Other Technical Occupations in Therapy and Assessment Dental Assistants Nurse Aides and Orderlies Other Aides and Assistants in Support of Health Services Judges Lawyers and Quebec Notaries Psychologists Social Workers Family Marriage and Other Related Counsellors Ministers of Religion Probation and Parole Officers and Related Occupations Natural and Applied Science Policy Researchers Consultants and Program Officers Economists and Economic Policy Researchers and Analysts Economic Development Officers and Marketing Researchers and Consultants Health and Social Policy Researchers Consultants and Program Officers Education Policy Researchers Consultants and Program Officers Recreation and Sports Program Supervisors and Consultants Program Officers Unique to Government Other Professional Occupations in Social Science University Professors Post Secondary Teaching and Research Assistants College and Other Vocational Instructors Secondary School T
124. tances where due to technical or other limitations a rounding technique other than normal rounding is used resulting in estimates to be published or otherwise released which differ from corresponding estimates published by Statistics Canada users are urged to note the reason for such differences in the publication or release document s f Under no circumstances are unrounded estimates to be published or otherwise released by users Unrounded estimates imply greater precision than actually exists Special Surveys Division 51 52 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide 12 2 Sample Weighting Guidelines for Tabulation The sample design used for the LSIC was self weighting When producing simple estimates including the production of ordinary statistical tables users must apply the final weight If final weights are not used the estimates derived from the microdata files cannot be considered to be representative of the survey population and will not correspond to those produced by Statistics Canada The weight assigned to each immigrant reflects the number of immigrants represented by a particular respondent For any analysis dealing with correlation analysis or any other statistics where a significance measure is required it is recommended that an adjusted weight be used This weight is obtained by multiplying the final weight by the sample size and dividing this total by the total estimated population This
125. there is no easy way to derive it from each of the individual CV s The programs offer the possibility to derive CV s for differences of totals and ratios Rule 4 Estimates of Ratios If the denominator of a ratio is considered as a domain size one can use the CVEM just as it is used in Rule 2 Otherwise the Bootstrap programs can be used by defining properly the numerator and the denominator 13 5 Howto Use the Coefficient of Variation to Obtain Confidence Limits Although coefficients of variation are widely used a more intuitively meaningful measure of sampling error is the confidence interval of an estimate A confidence interval constitutes a statement on the level of confidence that the true value for the population lies within a specified range of values For example a 95 confidence interval can be described as follows If sampling of the population is repeated indefinitely with each sample leading to a new confidence interval for an estimate then in 95 of the samples the interval will cover the true population value Using the standard error of an estimate confidence intervals for estimates may be obtained under the assumption that under repeated sampling of the population the various estimates obtained for a population characteristic are normally distributed about the true population value Under this assumption the chances are about 68 out of 100 that the difference between a sample estimate and the true populatio
126. tration Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Appendix Il Occupation Codes Standard Occupational Classification SOC 1991 Unit groups A011 A012 A013 A014 A015 A016 Alll A112 A113 A114 A121 A122 A131 A141 A211 A221 A222 A301 A302 Legislators Senior Government Managers and Officials Senior Managers Financial Communications Carriers and Other Business Services Senior Managers Health Education Social and Community Services and Membership Organizations Senior Managers Trade Broadcasting and Other Services n e c Senior Managers Goods Production Utilities Transportation and Construction Financial Managers Human Resources Managers Purchasing Managers Other Administrative Services Managers Engineering Science and Architecture Managers Information Systems and Data Processing Managers Sales Marketing and Advertising Managers Facility Operation and Maintenance Managers Retail Trade Managers Restaurant and Food Service Managers Accommodation Service Managers Insurance Real Estate and Financial Brokerage Managers Banking Credit and Other Investment Managers Special Surveys Division A303 A311 A312 A321 A322 A323 A324 A331 A332 A333 A334 A341 A342 A343 A351 A352 A353 A361 A371 A372 Other Business Services Managers Telecommunication Carriers Man
127. tricted to pre defined domains This method has many advantages but requires more work from the researcher Variance calculation using these macros is more time consuming than the other method presented i e CVEM The user must first become familiar with the macros before using them However these macros have been developed in such a way that they are easy to use Despite the time required to run these macros it is strongly recommended to use this method to calculate the variance of any estimates to be published This method provides a more precise and accurate measure of the true variance 13 3 Excel Based Coefficient of Variation Extraction Module The second tool available for users to obtain approximate coefficients of variation is the Excel based CV extraction module CVEM This application developed with Excel macros and accessed through a user friendly interface allows user to extract the desired information in two ways One is by describing the domain of interest with the nine available variables and the other is by specifying the size of the domain The information displayed consists of the proportion estimate the number of respondents in the specified domain the estimated population in that domain basic statistics and the coefficient of variation for the selected proportion Here a domain is defined as being the cross tabulation of the variables listed in the table in Section 13 3 1 Over 32 500 domains are covered by the set
128. ty Name concept NUBE Medi Collected or Derived From Background Module questions BG Q06 to x BG QO09B BG Q16 and BG Q17 and el Citizenship FEEDID Values and Attitudes Module questions VAS_Q01 to VAS Q04A CR listor education credentials HHLDID Education Credentials sub module of the EDCID Education Module HHLDID Education Module Employment HHLDID Employment Module Group Organizations sub module of the Groups and organizations HHLDID Social Network Module Entry Module includes aggregated derived Household duis variables from the relationships questions HL Health HHLDID Health Module Housing Module and Background Module Listar obs HHLDID Employment Details and Employment Roster JOBID sub modules of the Employment Module Entry Module and Background Module questions BG Q01 to BG Q05 and BG Q18 LR Longitudinal respondent HHLDID to BG Q20 in addition to some variables from a Citizenship and Immigration Canada administrative database Language Skills Module excluding language LS Language skills HHLDID test questions L8 Q11E to LS Q16E and LS Q11F to LS Q16F Perceptions of settlement HHLDID Perceptions of Settlement Module Social interactions HHLDID Social Network Module List of studies HHLDID Education Details and Education Roster SFOPSHM STUDYID sub modules of the Education Module Values and Attitudes Module excluding yaluesana attityass praedi questions VAS Q01 to VAS Q04A List of places lived HHLD
129. uction Millwrights and Industrial Mechanics Except Textile Heavy Duty Equipment Mechanics Refrigeration and Air Conditioning Mechanics Aircraft Mechanics and Aircraft Inspectors Machine Fitters Textile Machinery Mechanics and Repairers Automotive Service Technicians Truck Mechanics and Mechanical Repairers Motor Vehicle Body Repairers Electric Appliance Servicers and Repairers Electrical Mechanics Tailors Dressmakers Furriers and Milliners Shoe Repairers and Shoemakers Special Surveys Division 7344 7351 7352 7371 7381 7383 7411 7412 7413 7414 7421 7445 7452 7611 7612 7622 8222 8232 8251 8253 Jewellers Watch Repairers and Related Occupations Stationary Engineers and Auxiliary Equipment Operators Power Systems and Power Station Operators Crane Operators Printing Press Operators Other Trades and Related Occupations Truck Drivers Bus Drivers and Subway and Other Transit Operators Taxi and Limousine Drivers and Chauffeurs Delivery Drivers and Courier Service Drivers Heavy Equipment Operators Except Crane Other Repairers and Servicers Material Handlers Construction Trades Helpers and Labourers Other Trades Helpers and Labourers Railway and Motor Transport Labourers Supervisors Oil and Gas Drilling and Service Oil and Gas Well Drillers Servicers Testers and Related Workers Farmers and Farm Managers Farm Supervisors and
130. w monthly landings 5 3 Survey Design The survey was designed based on probability sample theory The sample is created using a two stage stratified sampling method The first stage involves the selection of Immigrating Units IU using a probability proportional to size PPS method The second stage involves the selection of one IU member within each selected IU The selected member of the IU is called the longitudinal respondent LR and will be contacted to participate in the survey Only Special Surveys Division 11 Longitudinal Survey of Immigrants to Canada Wave 1 User Guide the LR will be followed throughout the survey and no interviews will be conducted with other members of the IU or the LR s household 5 4 5 3 1 Longitudinal Sample The survey involves a longitudinal design with immigrants being interviewed at three different times at six months two years and four years after landing in Canada The sample design has been developed using a funnel shaped approach therefore only immigrants that respond to the Wave 1 interview will be traced for the Wave 2 interview and only those that respond to the Wave 2 interview will be traced for the Wave 3 interview The funnel shape approach was chosen because of the nature of the survey and its analytical objectives The survey collects information on perceptions values and attitudes at specific points in time in order to assess the immigrant s integration during their initial
131. wing manner based on a statistical distance calculated on selected socio demographic information a donor responding unit determined to be the closest to the partial respondent the recipient is identified and the values of the donor are used to replace the missing values for the recipient For the LSIC this was conducted module by module The first step was to identify which modules had to be imputed Key fields were identified and verified in order to determine if the respondent reported valid values If all key fields were reported appropriately then the modules were defined as complete If at least one field was invalid the module was defined as incomplete and was imputed For a unit which had more than one module missing the same donor record was used Note that only complete and edited records were in the donor pool that could be used as potential donors To keep consistency within variables the complete set of variables for a given module of the donor was imputed into the recipient record At the end of this process all records had fully completed modules A file of flags indicating whether a variable or an entire module was imputed was created Table 9 1 presents the different patterns of module non response for all partially responding records In the table a 1 denotes that the module is complete i e all key fields have valid values while a 2 indicates that the module is incomplete Special Surveys Division 35 Longitudinal
132. you or your family have plans to purchase a house or an apartment in the next few years R Yes No Not sure Q How many rooms are there where you live Include kitchen bedrooms finished rooms in the attic or basement etc Do not count bathrooms halls vestibules and rooms used solely for business purposes R One Two Three Four Five or more Special Surveys Division Longitudinal Survey of Immigrants to Canada Wave 1 User Guide Quantitative Estimates Quantitative estimates are estimates of totals or of means medians and other measures of central tendency of quantities based upon some or all of the members of the surveyed population They also specifically involve estimates of the form X Y where X is an estimate of surveyed population quantity total and Y is an estimate of the number of persons in the surveyed population contributing to that total quantity An example of a quantitative estimate is the average monthly amount paid in rent housing costs The numerator is an estimate of the total amount paid each month for the immigrants who live in dwelling units and the denominator is the number of immigrants who live in dwelling units Examples of Quantitative Questions Q How much do you or your family pay each month towards rent housing costs Include heat water electricity parking etc but exclude telephone R L LLLI month Q In this job what is was your wage or salary before taxes or other

Microdata User Guide LONGITUDINAL SURVEY OF IMMIGRANTS

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