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1998 Adult Education and Training Survey Microdata User Guide

1. CANADA 10 6 M C V Tables 1 Person level data CVPERE WPD CVPERE PDF 2 Activity level data CVACTE WPD CVACTE PDF Special Surveys Division 57 58 Special Surveys Division 11 0 Weighting ZZ Ss ao Since the Adult Education and Training Survey used a sub sample of the LFS sample the derivation of weights for the survey records is clearly tied to the weighting procedure used for the LFS The LFS weighting procedure is briefly described below 11 1 Weighting Procedures for the LFS In the LFS the final weight attached to each record is the product of the following factors the basic weight the cluster sub weight the balancing factor for non response and the province age sex ratio adjustment factor Each is described below Basic Weight In a probability sample the sample design itself determines weights which must be used to produce unbiased estimates of the population Each record must be weighted by the inverse of the probability of selecting the person to whom the record refers In the example of a 2 simple random sample this probability would be 02 for each person and the records must be weighted by 1 02 50 Because all eligible individuals in a dwelling are interviewed directly or by proxy this probability is essentially the same as the probability with which the dwelling is selected Cluster Sub weight The cluster delineation is such that the number of dwellings in the sample increases
2. Internet programs and courses Educational sources sometimes offer courses training through the Internet A respondent may access an educational web site with the use of a modem The respondent must be officially registered with the educational institution offering the course training Literacy basic skills elementary high school program An elementary high school program where respondents learn to function in current society by developing abilities at a basic level in listening speaking reading writing arithmetic and social skills Long term physical condition mental condition or health problem A physical condition mental condition or health problem lasting six months or more On the job training On the job training is training received under normal working conditions that enables employees to acquire new knowledge or skills that enhance job performance The training could be provided by a colleague or under the direction of supervisory personnel Personal interest The main reason for taking training education is personal when the training education is taken for reasons not related to an individual s job or career This would also include courses or programs designed to improve social skills and courses taken for reasons of personal development Program A selection of several courses or a combination or courses usually chosen from a syllabus a calendar or a list Courses within a program are usually taken for credit
3. 10 0 Approximate Sampling Variability Tables q lt In order to supply coefficients of variation which would be applicable to a wide variety of categorical estimates produced from this microdata file and which could be readily accessed by the user a set of Approximate Sampling Variability Tables has been produced These look up tables allow the user to obtain an approximate coefficient of variation based on the size of the estimate calculated from the survey data The coefficients of variation C V are derived using the variance formula for simple random sampling and incorporating a factor which reflects the multi stage clustered nature of the sample design This factor known as the design effect was determined by first calculating design effects for a wide range of characteristics and then choosing from among these a conservative value to be used in the look up tables which would then apply to the entire set of characteristics The table below shows the design effects sample sizes and population counts by province which were used to produce the Approximate Sampling Variability Tables All coefficients of variation in the Approximate Sampling Variability Tables are approximate and therefore unofficial Estimates of actual variance for specific variables may be obtained from Statistics Canada on a cost recovery basis The use of actual variance estimates would allow users to release otherwise unreleaseable estimates i e esti
4. C Occupation 2 1 Professional managerial 2 Clerical sales service 3 Blue collar worker 4 Not in labour force C Occupation 3 01 Managerial administrative and related 02 Natural sciences engineering and mathematics 03 Social sciences and religion 04 Teaching and related 05 Medicine and health 06 Artistic literary recreational and related 07 Clerical and office operation 08 Sales 09 Services to community and individuals n e c 10 Primary farming fishing trapping forestry mining etc 11 Manufacturing and processing 12 Construction and transportation 13 Materials handling and other 14 Never worked before permanently unable to work worked more than one year ago C Job tenure 01 1to6 months 02 7 12 months 03 1 year 13 24 months 04 2 years 25 36 months 05 3 years 37 48 months 06 4 years 49 60 months 07 5 years 61 72 months 08 6 years 73 84 months 09 7 years 85 96 months Special Surveys Division 29 10 8 years 97 108 months 11 9years 109 120 months 12 10 years 121 132 months 13 11 years 133 144 months 14 12 years 145 156 months 15 13 years 157 168 months 16 14 years 169 180 months 17 15 years 181 192 months 18 16 years 193 204 months 19 17 years 205 216 months 20 18 years 217 228 months 21 19 years 229 240 months 22 20 years and over 241 999 months C Industry 01 Agriculture 02 Other primary 03 Manufacturing 04 Construction 05 Utilities 06 Transportation and communic
5. 1 Refer to the table for CANADA Activity level Data 2 Because the estimate is a percentage which is based on a subset of the total population i e programs and courses taken for personal development it is necessary to use both the percentage 58 9 and the numerator portion of the percentage 221 068 in determining the coefficient of variation 50 Special Surveys Division 3 The numerator 221 068 does not appear in the left hand column the Numerator of Percentage column so it is necessary to use the figure closest to it namely 200 000 The percentage estimate 58 9 doesn t appear as a column heading so use the column marked 50 0 4 The figure at the intersection of the row and column used namely 7 5 is the coefficient of variation to be used 5 So the approximate coefficient of variation of the estimate is 7 5 The finding that 58 9 of training taken for personal development was employer sponsored can be published with no qualifications Note The remaining examples in this section refer to person level data Example 3 Estimates of Differences Between Aggregates or Percentages Suppose that a user estimates that 919 218 3 670 763 25 0 of adults who received employer supported training took at least one educational program The user then estimates that 2 562 747 4 252 106 60 3 of adults who received non employer supported training took at least one educational program How does the user d
6. Astrophysics and Astronomy Special Surveys Division Atomic and Nuclear Physics Chemical Physics High Energy and Particle Physics Solid State Physics Theoretical Physics Physics n e c Other 096 Metallurgy and Material Science Meteorology and General Science Metallurgy and Materials Science Meteorology General Science Science Lab Technology ALL OTHER N E C NO SPECIALIZATION 097 All Other N E C No Specialization All Other n e c No specialization High School Secondary Credit Grades 9 13 ADDITIONAL EDUCATION CODES 098 Upgrading Upgrading General Basic Education Grades 1 8 General Education Development G E D Postsecondary Upgrading Pre vocational Upgrading Basic Training for Skill Development B T S D Basic Job Readiness Training B J R T Orientation Career Alternatives University Transfer NOTE Includes job re entry job search skills interview skills training provided by job finders clubs etc 099 Personal Development Personal Development General Home and Family Consumer Financial Coping Skills Communication Skills Religion and Morals Public Affairs Community Current Events Driver Instruction NOTE Includes training in lifeskills self awareness stopping smoking prenatal classes marriage preparation coping with abuse in the family dealing with life and death AIDS Alzheimers etc Special Surveys Division 91
7. provincial and municipal governments as well as a host of other data users The monthly LFS sample consists of approximately 59 000 dwellings After excluding dwellings found to be vacant dwellings demolished or converted to non residential uses dwellings containing only ineligible persons dwellings under construction and seasonal dwellings about 52 350 dwellings remain which are occupied by one or more eligible persons From these dwellings LFS information is obtained for approximately 102 000 civilians aged 15 or over 5 4 M Sample Rotation The LFS employs a panel design whereby the entire monthly sample of dwellings consists of 6 panels or rotation groups of approximately equal size Each of these panels is by itself representative of the entire LFS population All dwellings in a rotation group remain in the LFS sample for 6 consecutive months after which time they are replaced rotated out of the sample by a new panel of dwellings selected from the same or similar clusters This rotation pattern was adopted to minimize any problems of non response or respondent burden that would occur if households were to remain in the sample for longer than 6 months It also has the statistical advantage of providing a common sample base for short term month to month comparisons of LFS characteristics since five of the six rotation groups in the LFS sample are common from month to month Because of the rotation group feature it is possible
8. 100 Recreational Activity Sports and Outdoor Recreation Physical Fitness Games NOTE Includes birdwatching lessons wilderness training self defense martial arts aerobics dancersize bridge chess calligraphy etc OTHER CODES 996 Valid skip 997 Uncodable 998 Refusal 999 Not Stated 92 Special Surveys Division
9. a college diploma or certificate or a university degree diploma or certificate Questions in this section ask about major field of study financial support employer support location of training method of training main reason for taking the training use of learned skills duration of training and program completion Section C Training and Education Courses This section includes respondents who took courses workshops seminars or tutorials Questions in this section ask about course title or name financial support employer support location of training method of training main reason for taking the training use of learned skills duration of training and course completion Section D Hobby Recreational or Interest Courses These questions ask about hobby recreational interest and personal development courses or residual courses not covered in section C The questions follow the same pattern as section C Section E General Questions The questions in this section collect information about industry occupation firm size union membership adequacy of training barriers to training ethnicity and income The 1998 Adult Education and Training Survey was conducted using computer assisted interviewing CAI A copy of the CAI questionnaire is shown on the following page Questions like ACO4 CCO1 etc are instructions for the programmer to control the flow of the questions During the interview the name of the course or progr
10. also refer to the hands on component 12 Special Surveys Division of a course i e computer lab or a group of exercises problems designed to give a trainee practice in doing something that has been taught University program A university is a degree diploma certificate granting institution which usually offers programs in at least the arts and sciences Admission to university is usually dependent upon graduating from secondary school White Collar Occupations An occupational classification which includes people in the artistic clerical managerial medical natural science religion sales social science and teaching occupations Special Surveys Division 14 Special Surveys Division 5 0 Survey Methodology A The Adult Education and Training Survey AETS was administered in January and March 1998 to a sub sample of the dwellings in the Labour Force Survey LFS sample Therefore the AETS sample design is closely tied to that of the LFS The LFS design is briefly described in Sections 5 1 to 5 4 Sections 5 5 and 5 6 describe how the AETS departed from the basic LFS design eC Population Coverage The LFS is a monthly household survey whose sample of individuals is representative of the civilian non institutionalized population 15 years of age or older in Canada s ten provinces Specifically excluded from the survey s coverage are residents of the Yukon and Northwest Territories persons living on Indian Reserv
11. appropriate geographic area locate the estimated number in the left most column of the table headed Numerator of Percentage and follow the asterisks if any across to the first figure encountered This figure is the approximate coefficient of variation Rule 2 Estimates of Proportions or Percentages Possessing a Characteristic The coefficient of variation of an estimated proportion or percentage depends on both the size of the proportion or percentage and the size of the total upon which the proportion or percentage is based Estimated proportions or percentages are relatively more reliable than the corresponding estimates of the numerator of the proportion or percentage when the proportion or percentage is based upon a sub group of the population For example the proportion of adults who received full time employer supported training out of all those who received any employer supported training is more reliable than the estimated total number of adults who received full time employer supported training Note that in the tables the cv s decline in value reading from left to right When the proportion or percentage is based upon the total population of the geographic area covered by the table the cv of the proportion or percentage is the same as the cv of the numerator of the proportion or percentage In this case Rule 1 can be used When the proportion or percentage is based upon a subset of the total population e g those in a pa
12. falling into some defined category The number of adults who received employer sponsored training or the proportion of adults receiving training who took that training full time are examples of such estimates An estimate of the number of persons 40 Special Surveys Division possessing a certain characteristic is also referred to as an estimate of an aggregate Examples of Categorical Questions Q At any time during 1997 did you take any of this program on a full time basis R Yes No Q Other than the employer business who paid for this program R Self family Government Union or professional organization Other No one else No fees 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 I 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 mean average number of courses taken by adults who received employer supported training Writing this mean in the form of X Y the numerator X is an estimate of the total number of courses taken by adults who received employer supported training and its denominator Y is an estimate of the number of adults wh
13. for advice on the allocation of records to appropriate replicates and the formulae to be used in these calculations 10 5 Release Cut offs for the Adult Education and Training Survey The minimum size of the estimate at the provincial regional and Canada levels are specified in the table below Estimates smaller than the minimum size given in the Not Releasable column may not be released under any circumstances Person level Data fee Publishable Releasable with Not Releasable Bag A a E al Prince Edward Island 5 000 2 000 Nova Scotia 22 000 10 000 New Brunswick 15 000 7 000 Quebec 69 000 30 000 Ontario 96 000 42 000 Manitoba 22 000 10 000 Saskatchewan 17 000 7 000 Alberta 48 000 21 000 British Columbia 56 000 25 000 Atlantic Provinces 19 000 8 000 Prairie Provinces 36 000 16 000 CANADA 68 000 30 000 COO l 56 4 000 12 000 14 000 5 000 9 000 Special Surveys Division Activity level Data frees Publishable Releasable with Not Releasable Qualification Prince Edward Island 7 000 3 000 2 000 Nova Scotia 25 000 12 000 7 000 Prairie Provinces 44 000 20 000 11 000 82 000 36 000 20 000 New Brunswick 19 000 9 000 5 000 Quebec 77 000 35 000 20 000 Ontario 112 000 50 000 28 000 Manitoba 26 000 12 000 7 000 Saskatchewan 22 000 10 000 6 000 Alberta 57 000 26 000 15 000 British Columbia 71 000 32 000 18 000 Atlantic Provinces 24 000 11 000 6 000
14. in many cases the estimates produced by the packages are correct the variances that are calculated are poor Variances for simple estimates such as totals proportions and ratios for qualitative variables are provided in the accompanying Sampling Variability Tables 42 Special Surveys Division 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 select all respondents from the file who reported SEX male Calculate the AVERAGE weight for these records by summing the original person weights from the microdata file for these records and then dividing by the number of respondents who reported SEX male for each of these respondents calculate a RESCALED weight equal to the original person weight divided by the AVERAGE weight perform the analysis for these respondents using the RESCALED weight 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 truly meaningful variance estimates r
15. the responding household Adjustment 4 is calculated by multiplying the adjusted weight for each AETS respondent by ja un f pe Sa Sp i m del w p g i m Sa Ep i and pin a p R j m del wW p q n RM j These steps were repeated iteratively until the adjustment factors converged to 1 The resulting weight is the final weight which appears on the AETS microdata file Independent estimates are available monthly for various age and sex groups by province These are population projections based on the most recent Census data records of births and deaths and estimates of migration Using a linear regression model auxiliary information is used to arrive at the final weight The regression is set up to ensure that the final weights it produces Special Surveys Division 61 sum to the census projections for the auxiliary variables namely various age sex groups economic regions and census metropolitan areas This improves the reliability of estimates that can be produced by the AETS At the same time as ensuring consistency with external Census counts the weighting procedure also ensures that every member of the economic family is assigned the same weight The resulting weight WEIGHT is the final weight which appears on the Adult Education and Training Survey microdata file 62 Special Surveys Division 12 0 Questionnaires and Code Sheets ees o Household Record Docket o The Labour Force Questionnaire o Supplemen
16. the usual place of residence LFS information is obtained for all civilian household members 15 years of age or older Response burden is minimized for the elderly 70 years of age or older by carrying forward their responses for the initial interview to the subsequent five months in the survey 18 Special Surveys Division Labour Force Survey Sample Design 1995 Province EIR ER Intersection 76 4 22 6 1 0 Urban Areas Rural Areas Remote Areas 5 6 70 8 Apartment List Frame Area Frame 0 6 5 0 69 2 0 8 0 8 18 3 4 3 Low Income Regular Regular High Income Low High Population Low Population Apartments Apartments Area Frame Area Frame Population Density Density Density stratum stratum stratum stratum stratum stratum stratum stratum I I I I I I I I building building cluster amp EA cluster amp EA town EA EA group Place EA I I I I I I I I i l l l l l l l I I I I I I I I dwelling dwelling dwelling dwelling cluster dwelling dwelling dwelling I dwelling EA Census Enumeration Area cluster set of blockfaces EIR Employment Insurance Region ER Economic Region percentage of total sample level of stratification stage of sampling 5 3 M Sample Size The sample size of eligible persons in the LFS is determined so as to meet the statistical precision requirements for various labour force characteristics at the provincial and subprovincial level to meet the requirements of federal
17. work which contributed directly to the operation of a farm business or professional practice owned or operated by a related member of the household Such activities may include keeping books selling products waiting on tables and so on Tasks such as housework or maintenance of the home are not considered unpaid family work Special Surveys Division 7 a were without work had actively looked for work in the past four weeks ending with reference week and were available for work b had not actively looked for work in the past four weeks but had been on layoff and were available for work c had not actively looked for work in the past four weeks but had a new job to start in four weeks or less from the reference week and were available for work Not in the Labour Force Those persons in the civilian non institutional population 15 years of age and over who during the reference week were neither employed nor unemployed Industry and Occupation The Labour Force Survey provides information about the occupation and industry attachment of employed and unemployed persons and of persons not in the labour force who have held a job in the past five years Since 1984 these statistics have been based on the 1980 Standard Occupational Classification and the 1980 Standard Industrial Classification Prior to 1984 the 1971 Standard Occupational Classification and the 1970 Standard Industrial Classification were used Reference we
18. 103 108 Nova Scotia 2 1 2 451 720 035 New Brunswick 1 5 2 171 584 057 Quebec 2 3 6 848 5 755 407 Ontario Manitoba 1 9 2 630 831 087 Saskatchewan 1 6 2 513 731 709 Alberta 1 7 2 604 2 109 999 British Columbia 3 179 3 032 199 Atlantic Provinces 1 9 7 041 1 838 198 8 595 8 760 453 Prairies 7 747 672 795 Canada L 331410 410 028 089 082 059 052 Activity level Data PROWNCE REGION REGION DESIGN SAMPLE POPULATION Des a Cai Newfoundland 161 654 Prince Edward Island 2 0 41 519 Nova Scotia 2 2 1 050 357 985 1 9 778 New Brunswick 230 637 Quebec 2 053 1 922 363 Ontario 2 8 4 044 4 436 514 Manitoba 2 0 1 084 392 756 Saskatchewan 2 0 1 085 347 084 Alberta 1 297 1 091 330 British Columbia 1 648 1 646 292 Atlantic Provinces 2 605 791 796 Prairies 2 3 3 466 1 831 170 Canada 2 9 13 816 10 628 134 46 Special Surveys Division 10 4 How to use the C V tables for Categorical Estimates The following rules should enable the user to determine the approximate coefficients of variation from the Sampling Variability Tables for estimates of the number proportion or percentage of the surveyed population possessing a certain characteristic and for ratios and differences between such estimates Rule 1 Estimates of Numbers Possessing a Characteristic Aggregates The coefficient of variation depends only on the size of the estimate itself On the Sampling Variability Table for the
19. 1998 Adult Education and Training Survey Microdata User Guide Special Surveys Division Table of Contents 1 0 INTOQUEHON yr RARA RAR RARA TRA TARA 1 2 0 Background aaa a a a a rn a naaa 3 3 0 Objectives 2 ee 5 4 0 Concepts and Definitions oooooooonrnrnmommoo 7 4 1 Labour Force Survey Concepts and Definitions 7 4 2 Adult Education and Training Survey Concepts and Definitions 9 5 0 Survey Methodology 00 e cee ee cece ee eee eee eeees 15 5 1 Population Coverage ooooccccccco eee 15 5 2 Sample Design enen eee e eee eee eee 15 5 2 1 Primary Stratification o ooooooooo 16 5 2 2 Types of Areas cee ee 16 5 2 3 Secondary Stratification 16 5 2 4 Cluster Delineation and Selection 17 5 2 5 Dwelling Selection oooocoooconooo 18 5 2 6 Person Selection oooooooccoooconoo 18 5 3 Sample Size seereis rerni in anana een nenn 20 5 4 Sample Rotation 22 22neen seen een nn 20 5 5 Modifications to the L F S design forthe AETS 20 5 6 Sample size by Province for the AETS 21 6 0 Data CONGCH OM occ un 23 6 1 Interviewing for the LFS 00000 cence 23 6 2 Supervision and Control 0 24 6 3 Non Response to the LFS 0000 eee eae 24 6 4 Data Collection Modifications to the Adult Education and Training Survey 2 20 22 iaa ehren 24
20. 49 10 2 How to use the C V tables to obtain Confidence Limits 53 10 2 1 Example of using the C V tables to obtain confidence IAS aca 54 10 3 Howto use the C V tables to do at test 55 10 3 1 Example of using the C V tables to do a t test 55 10 4 Coefficients of Variation for Quantitative Estimates 55 10 5 Release Cut offs for the Adult Education and Training Survey ooocccccocoo een eee 56 10 6 CV Tables ooooooocoooooonn rennen 57 o RR 59 11 1 Weighting Procedures forthe LFS 59 11 2 Weighting Procedures for the Adult Education and Training SUIVOY sss gie ae a See ae eee ee 60 Questionnaires and Code Sheets ooooooooonmmoo 63 121 The Household Record Docket 4 63 122 The Labour Force Questionnaire 63 123 The Supplementary Survey Questionnaire 63 Record Layout and Univariates ooo oooooooomoo 69 13 1 Using the Microdata Files oooooooooooooo 70 13 2 Using the Record Layout 00000 ee oo 72 Appendix A Education Codes 2000e cece eee e eens 75 Special Surveys Division 1 0 Introduction AA AAA The Adult Education and Training Survey 1998 was conducted by Statistics Canada with the cooperation and support of Human Resources Development Canada The reference year for this survey was 1997 This manual has been produced to facilitate the manipulatio
21. 6 5 Non Response to the Adult Education and Training Survey 25 7 0 Data PI UN ss 27 7 1 Data Capture ss sss 555s esse sige y wlan nena as 27 7 2 A sesutedudead ave aaa arne 27 7 3 Coding of Open ended Questions 4 27 7 4 Creation of Derived Variables oooooooo 28 7 5 Weighting orcos Hr ia an ne 33 7 6 Suppression of Confidential Information 34 8 0 Data QUIY AAA AA AE LAA As 35 8 1 Response Rates 0 cee eee eee 35 8 2 Survey EOTS sss s a aa eee 36 8 2 1 TheFrame ace cn aan ann anamanna a ae 36 8 2 2 Data Collection lt lt lt cas 36 8 2 3 Non response 0 002 nenn 37 Special Surveys Division 9 0 10 0 12 0 13 0 14 0 Guidelines for Tabulation Analysis and Release 39 9 1 Rounding Guidelines 0 000 0c eee eee 39 9 2 Sample Weighting Guidelines for Tabulation 40 9 2 1 Definitions of types of estimates Categorical vs Quantitative s s ethan ran 40 9 2 2 Tabulation of Categorical Estimates 41 9 2 3 Tabulation of Quantitative Estimates 42 9 3 Guidelines for Statistical Analysis 42 9 4 C V Release Guidelines oooooocoooooooo 43 Approximate Sampling Variability Tables 45 10 1 How to use the C V tables for Categorical Estimates 47 10 1 1 Examples of using the C V tables for Categorical Estimates 2 scK see a teak
22. CCPAC Bedford Peachtree etc training in Wordperfect Wordstar MacWord Pro etc Postmaster training AGRICULTURAL AND BIOLOGICAL SCIENCES TECHNOLOGIES 041 82 Agricultural Science and Technology Agricultural Science Animal Science General Crop Science Crops Crop Farming Food Science Horticulture Plant Science General Poultry Science Soil Science Agricultural Science Other Agricultural Technology Agricultural Business General Farming Technology Special Surveys Division 042 043 044 045 047 048 Special Surveys Division Agricultural Technology Other Animal Science Technologies Animal Science Health Technology Cattle Swine Technology Equine Studies Horse Husbandry Veterinary Technologies Animal Health and Care Animal Science Technologies Other NOTE Includes horseback riding lessons Biochemistry Biology and Biophysics Biochemistry Biology General Genetic and Developmental Biology Microbiology Molecular Biology Biology Other Biophysics Botany Botany General Botany Other Plant Sciences Specialized Household Science and Related Fields Household and Domestic Science Consumer Studies Clothing and Textiles Food Nutrition Dietetics and Dietary Technology Food Services and Preparation Home Economics NOTE Includes smocking serging and knitting wine tasting and wine apprec
23. It is based on the assumption that the households that have been interviewed represent the characteristics of those that should have been interviewed To the extent that this assumption is not true the estimates will be somewhat biased LFS Sub Weight The product of the previously described weighting factors is called the LFS sub weight All members of the same sampled dwelling have the same sub weight Subprovincial and Province Age Sex Adjustments The sub weight can be used to derive a valid estimate of any characteristic for which information is collected by the LFS In particular estimates are produced of the total number of persons 15 in provincial economic regions and the 24 large metropolitan areas as well as of designated age sex groups in each of the ten provinces Independent estimates are available monthly for various age and sex groups by province These are population projections based on the most recent Census data records of births and deaths and estimates of migration In the final step this auxiliary information is used to transform the sub weight into the final weight This is done using a calibration method This method ensures that the final weights it produces sum to the census projections for the auxiliary variables namely various age sex groups economic regions census metropolitan areas and rotation groups This weighting procedure ensures consistency with external Census counts and that each rotation group
24. NTES A Special Surveys Division 53 where x is the determined coefficient of variation of X and t 1 if a 68 confidence interval is desired t 1 6 if a 90 confidence interval is desired t 2 if a 95 confidence interval is desired t 3 if a 99 confidence interval is desired Z O D Release guidelines which apply to the estimate also apply to the confidence interval For example if the estimate is not releasable then the confidence interval is not releasable either 10 21 EEE Example of using the C V tables to obtain confidence limits A 95 confidence interval for the estimated proportion of adults who took at least one educational program out of those adults who received employer supported training from Example 2a section 10 1 1 would be calculated as follows X 25 0 or expressed as a proportion 250 t 2 y 3 7 037 expressed as a proportion is the coefficient of variation of this estimate as determined from the tables Clx 250 2 250 037 250 2 250 037 Clx 1 250 019 250 019 Cl 231 269 With 95 confidence it can be said that between 23 1 and 26 9 of adults who received employer supported training took at least one educational program 10 3 M How to use the C V tables to do a t test Standard errors may also be used to perform hypothesis testing a procedure for distinguishing between population parameters using sample estimates The sample e
25. Who suggested training BQ26 CQ24 DQ23 C Extent to which respondent is using the training at work BQ18 CQ18 DQ17 C Extent to which respondent is using the training in personal life BQ19 CQ19 DQ18 C Whether training was taken full time only part time only or both BQ20 BQ23 C C 7 5 M Weighting The principle behind estimation in a probability sample such as the LFS is that each person in the sample represents besides himself or herself several other persons not in the sample For example in a simple random 2 sample of the population each person in the sample represents 50 persons in the population The weighting phase is a step which calculates for each record what this number is This weight appears on the microdata file and must be used to derive meaningful estimates from the survey For example if the number of individuals enrolled in full time programs at a university during the past 12 months is to be estimated it is done by selecting the records referring to those individuals in the sample with that characteristic and summing the weights entered on those records Details of the method used to calculate these weights are presented in Chapter 11 7 6 M Suppression of Confidential Information It should be noted that the Public Use microdata files described above differ in a number of important respects from the survey master files held by Statistics Canada These differences are the result of actio
26. adian Politics Comparative Politics International Relations Foreign Policy Political Science Other Psychology Psychology General Child Adolescent Developmental Psychology Clinical Psychology Social Psychology Psychology Other NOTE Includes human relations Sociology Sociology General Special Surveys Division Criminology Penology Deviance Demography Population Studies Ethnic Sociology Family Sociology Sociology Other NOTE Includes the study of multiculturalism and minorities 032 Social Work and Social Services Social Work Welfare General Child Care Services Youth Services Correctional Technologies Gerontology Applied Police and Para legal Technologies Protection Services Social Services and Welfare Technologies Other NOTE Includes search and rescue training ski patrol training avalanche safety training etc 034 War and Military Studies and Other Social Sciences and Related Fields War and Military Studies Social Sciences General Social Sciences and Related Fields n e c Other NOTE Includes gender studies COMMERCE MANAGEMENT AND BUSINESS ADMINISTRATION 035 Business and Commerce Business and Commerce General Business Administration International Business and Commerce Business and Commerce Other 036 Financial Management Financial Management General Accounting and Auditing Assessment and Appraisal Fi
27. am for which data was being collected was shown at the top of the screen A program is a selection of several courses or a combination of courses normally chosen from a syllabus a calendar or a list Courses within a program are usually taken for credit towards a degree diploma or certificate 66 Special Surveys Division Adult Education and Training Survey 1998 QUESTENG WPD QUESTENG PDF Special Surveys Division 67 68 Special Surveys Division 13 0 Record Layout and Univariates E The record layout describes in detail the information found on the AETS microdata file The information that is used to create the microdata file comes from three questionnaires The Labour Force Survey Household Record Docket is used to describe the various members of the household The Labour Force Survey Questionnaire is used to collect information on household members labour force activity The 1998 Adult Education and Training Survey Questionnaire is used to collect information about the education and training received by adults in Canada during 1997 The information from these questionnaires is brought together to create the microdata file In view of the nature of the data from the Adult Education and Training Survey the microdata file consists of a number of subfiles that can be grouped into two categories 1 person files and 2 activity files There is little duplication across the subfiles The variable UNIQUEID can be use
28. anslation and Interpretation Creative Writing Humanities and Related Fields n e c Other SOCIAL SCIENCES AND RELATED FIELDS 022 Anthropology and Archaeology Anthropology General Ethnology and Related Fields Physical Anthropology Anthropometry Social and Cultural Anthropology Anthropology Other Archaeology 024 Area Studies Non Languages or Literature Asian Studies Canadian Studies Germanic Studies Latin American and Caribbean Studies Near and Middle Eastern Studies Special Surveys Division 79 025 026 027 028 029 030 031 80 Slavic or East European Studies Area Studies Other Economics Economics General Agricultural Economics Econometrics International Economics Labour Human Resources Economics Economics Other Geography Geography General Cartography Economic Geography Historical and Political Geography Human Geography Natural Resources Geography Physical Geography Urban Rural Geography Geography Other Law and Jurisprudence Law and Jurisprudence General Civil Criminal Family Common Law Commercial Business Company Law Constitutional International Law Law Other Man Environment Studies Man Environment Studies General Human Ecology Resource Planning and Management Urban Rural Regional Planning and Development Political Science Political Science General Can
29. ata collection was to administer the Adult Education and Training Survey In total 39 217 individuals were eligible for the supplementary survey the AETS interview was completed for 33 410 of these individuals for a response rate of 85 2 More detailed information on response rates is presented in Chapter 8 Data Quality Special Surveys Division 25 26 Special Surveys Division 7 0 Data Processing A The main output of the Adult Education and Training Survey is a clean microdata file This section presents a brief summary of the processing steps involved in producing this file 7 1 Data Capture Capture of survey data was done directly on notebook computers by interviewers at the time of collection A partly edited version of the computer record was electronically transmitted to Ottawa for further processing In total 46 816 interviews were captured and transmitted for the survey 7 2 Editing The first type of error treated was errors in questionnaire flow where questions which did not apply to the respondent and should therefore not have been answered were found to contain answers In this case a computer edit automatically eliminated superfluous data by following the flow of the questionnaire implied by answers to previous and in some cases subsequent questions The second type of error involved a lack of information in questions which should have been answered For this type of error a non response or not
30. ations 07 Trade 08 Finance insurance and real estate 09 Education health and welfare 10 Business commercial personal and miscellaneous services 11 Public administration 12 Unemployed not in labour force C Type of Industry 1 Goods producing industries 2 Service producing industries 3 Unemployed not in labour force C Type of Employee 1 Private sector employees 2 Public sector employees 3 Unemployed not in labour force C Geographical Aggregation 1 Urban 2 Rural 3 Remote C Dwelling Type 1 Single 2 Multiple 3 Other C Age Groups 1 17 19 years of age 20 24 years of age 25 34 years of age 35 44 years of age 45 54 years of age of WP 30 Special Surveys Division 0 Y O DOA0NnN 55 64 years of age 65 69 years of age 70 years of age or over 17 24 years of age 25 34 years of age 35 44 years of age 45 54 years of age 55 64 years of age 65 years of age or over C Number of Preschool Children 0 4 2 No preschoolers 1 Preschooler age 0 5 2 or more preschoolers Major Field of Study Major field of study responses are coded and then aggregated into fifteen major groupings The major groupings are Educational Recreational Counseling Services Fine and Applied Arts Humanities and Related Fields Social Sciences and Related Fields Commerce Management and Business Administration Agricultural and Biological Sciences Technologies Engineering and Applied Sciences Engineering and Applied Sc
31. ator of the estimate X is the number of males who took employer supported training Refer to the table for CANADA Person level Data The numerator of this ratio estimate is 1 735 879 The figure closest to it is 1 500 000 The coefficient of variation for this estimate is found by referring to the first non asterisk entry on that row namely 3 3 The denominator of this ratio estimate is 1 934 884 The figure closest to it is 2 000 000 The coefficient of variation for this estimate is found by referring to the first non asterisk entry on that row namely 2 9 So the approximate coefficient of variation of the ratio estimate is given by rule 4 which is 3 1 TA where and are the coefficients of variation of X and X respectively Thatis Special Surveys Division VG AA 0 4 The obtained ratio of females versus males who received employer supported training is 1 735 879 1 934 884 which is 0 90 1 The coefficient of variation of this estimate is 4 4 which is releasable with no qualifications 10 2 How to use the C V tables 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
32. be described as follows If sampling of the population is repeated indefinitely 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 population 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 99 out 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 X k where k is determined depending upon the level of confidence desired and the sampling error of the estimate Confidence intervals for an estimate can be calculated directly from the Approximate Sampling Variability Tables by first determining from the appropriate table the coefficient of variation of the estimate X and then using the following formula to convert to a confidence interval Cl E
33. c indicators and labour force status NCAA derived variables Activity Leve Level PROGRAM TXT Section B 4 328 records 79 variables COURSE TXT Section C 7 510 records 77 variables HOBBY TXT Section D 1 978 records 77 variables 13 2 Using the Record Layout The record layout found at the end of this section provides a description of each variable on the AETS microdata file The user is provided with the variable name description values and where necessary brief notes about the variable The record layout also provides weighted and unweighted control counts for each variable Users should be aware that for certain variables which give total numbers of courses or programs i e TOTCRS TOTPGMNE EMBQO6A etc the counts shown are for the number of respondents who took at least one course or program On the file itself however the variable will indicate the total number of programs or courses taken by a given respondent Users also should be aware that the counts will vary depending on how respondents flow through the questionnaire To the extent possible the skip patterns have been identified in the record layout However there are instances where the user should consult the questionnaire to determine the exact flow pattern 72 Special Surveys Division In addition some cells have very small unweighted counts The user should be sure to read Publication and Release Guidelines Chapter 9 before releasing an
34. d time off when the respondent took training during usual working hours and received all or part of their salary Depending on respondent perception it may also include flexible hours and vacation leave Trade vocational program A trade or vocational school is a public educational institution that offers diplomas and certificates at the trade level This term is used to classify skill courses that prepare trainees for occupations not at the professional or semi professional levels The emphasis is on manipulative skills with varying degrees of complexity and the performance of established procedures and techniques Although entrance requirements vary they frequently require less than a high school diploma for admission Trade vocational programs also includes diploma and certificate programs at the trade level taken at technical schools Trade vocational and technical training generally refer to the same type of training although the name varies between and within provinces Training centre Large companies the federal government and some franchisers own or rent special facilities training centres where they train their employees Respondents working in a regional or branch office may consider the Head Office as the training centre or as having special facilities Tuition Tuition is a fee paid for instruction Tutorials Tutorials are personal instruction or guidance given to a trainee by a professional instructor Tutorials can
35. d to link the files 1 Person Files The Person Files contain one record per respondent The files provide the data for questionnaire Section A screening questions and Section E general questions as well as variables from the Labour Force Survey socio demographic data and labour force status and most of the derived variables 2 Activity Files The Activity Files contain data about all the training and education programs and courses reported by a respondent in Sections B C and D of the questionnaire There are three files one for Section B one for Section C and one for Section D Each respondent generated a variable number of records in each of the three activity files depending on the number of programs and courses reported in each particular section Respondents who did not report a program or course in a particular section are not included in the corresponding file For example a respondent who reported one program in Section B two courses in Section C and no courses in Section D would have one two and no records on the files for Sections B C and D respectively The maximum number of programs Special Surveys Division 69 or courses allowed for each of these three sections of the questionnaire is five Users can link between the three activity files as well as to the person files using the variable UNIQUEID However users should keep in mind that respondents can have more than one record at the program or course lev
36. 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 Special Surveys Division 39 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 instances 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 f
37. ek Entire calender week covered by the Labour Force Survey each month It is usually the week containing the 15th day of the month The interviews are conducted during the following week called the Survey Week and the labour force status determined is that of the reference week Full time Full time employment consists of persons who usually work 30 hours or more per week plus those who usually work less than 30 hours but consider themselves to be employed full time e g airline pilots Persons in this group meeting the following criteria are regarded as available i were full time students seeking part time work who also met condition ii below Full time students looking for full time work are classified as not available for work in the reference week ii reported that there was no reason why they could not take a job in reference week or if they could not take a job it was because of own illness or disability personal or family responsibilities or already had a job Persons are classified as being on layoff only when they expect to return to the job from which they were laid off 8 Special Surveys Division Part time Part time employment consists of all other persons who usually work less than 30 hours per week 4 2 Adult Education and Training Survey Concepts and Definitions Blue Collar Occupations Includes such occupations as construction fabricating farming fishing forestry materials handling m
38. el and should interpret any linked person file data accordingly 13 1 MH Using the Microdata Files The 1998 Adult Education and Training Survey microdata file is accompanied by a data extraction software This software allows users to browse the survey variables create personalized data sets in a variety of formats and run simple frequencies Users are encouraged to use the data extraction software to create personalized data sets that can then be used with software such as SPSS SAS or Excel However if users wish to access the microdata files directly they have two options The data is available in both databases DBF and flat file ASCII format If a user wishes to work directly with the database files there are eleven database files eight person level files and three activity level files The variable UNIQUEID can be used to link the files Details about the database files are presented in the following table AETS 1998 Microdata Files Database DBF Files File name Contents Details Person level AETS DBF Section A Screening Questions 33 410 records Section E General Questions 98 variables Related derived variables LFS DBF Labour Force Survey data 33 410 records socio demographic indicators 123 variables and labour force status Related derived variables PROGEMDV DBF Derived variables for employer 986 records sponsored programs recorded in 139 variables Section B 70 Special Surveys Division F
39. employer supported training as compared to the number of adults who received part time employer supported training the standard deviation of the ratio of the estimates is approximately equal to the square root of the sum of squares of each coefficient of variation considered separately and then multiplied by R That is the standard error of a ratio R X X is FRR where and are the coefficients of variation of X and X respectively The coefficient of variation of R is given by Fp R The formula will tend to overstate the error if X and X are positively correlated and understate the error if X and X are negatively correlated Rule 5 Estimates of Differences of Ratios In this case Rules 3 and 4 are combined The cv s for the two ratios are first determined using Rule 4 and then the cv of their difference is found using Rule 3 48 Special Surveys Division 10 1 1 MS Examples of using the C V tables for Categorical Estimates The following real life examples are included to assist users in applying the foregoing rules Example 1 a Estimates of Numbers Possessing a Characteristic Aggregates Suppose that a user estimates that 3 670 763 adults received employer supported training in 1997 How does the user determine the coefficient of variation of this estimate 1 Refer to the cv table for CANADA Person level Data 2 The estimated aggregate 3 670 763 does not appear in the left hand column
40. en provinces between January 19 and January 30 1998 However the ice storm of January 1998 made it impossible to collect AETS data for a large part of Quebec Therefore it was decided to delay AETS data collection in all of Quebec until March 1998 Collection in all other provinces proceeded as scheduled in January 36 Special Surveys Division 3 2 3 MS Non response Over a large number of observations randomly occurring errors will have little effect on estimates derived from the survey However errors occurring systematically will contribute to biases in the survey estimates Considerable time and effort was made to reduce non sampling errors in the survey Quality assurance measures were implemented at each step of the data collection and processing cycle to monitor the quality of the data These measures included the use of highly skilled interviewers extensive training of interviewers with respect to the survey procedures and questionnaire observation of interviewers to detect problems of questionnaire design or misunderstanding of instructions procedures to ensure that data capture errors were minimized and coding and edit quality checks to verify the processing logic A major source of non sampling errors in surveys is the effect of non response on the survey results The extent of non response varies from partial non response failure to answer just one or some questions to total non response Total non response occurred because
41. entary and grades 9 13 are assumed to be high school The Adult Education and Training Survey uses six different major subjects or fields of study to classify elementary and high school programs Elementary High school general academic High school technical vocational Literacy basic skills Second language Other DURON Employer Throughout the interview employer referred to the employer at the time the education training was taken If no education training was taken then employer was considered to be the employer at the last main job held Full time program Part time program In the Adult Education and Training Survey the full time or part time student status was supplied by the respondent In some cases this status may be at variance with the status as determined by a particular educational institution All institutions classify their students as full time or part time students depending on the number of courses in which they are enrolled Full time and part time status can vary by program type of institution and province Full time training Training on a full time basis is defined as time spent in a training course program which occupied most of each work week 10 Special Surveys Division Hobby recreational or interest courses Hobby recreational and interest courses are taken for the purpose of learning a hobby physical social or psychological development or personal interest in a particular subject matter
42. equires 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 account can be calculated for many statistics by Statistics Canada on a cost recovery basis 9 4 M C V Release Guidelines Before releasing and or publishing any estimate from the Adult Education and Training Survey users should first determine the quality level of the estimate The quality levels are acceptable marginal and unacceptable Data quality is affected by both sampling and non sampling errors as discussed in section 8 However for this purpose the quality level of an estimate will be determined only on the basis of sampling error as reflected by the coefficient of variation as shown in the table below Nonetheless users should be sure to read section 8 to be more fully aware of the quality characteristics of these data First the number of respondents who contribute to the calculation of the estimate should be determined If this number is less than 30 the weighted estimate should be considered to be of unacceptable quality For weighted estimates based on sample sizes of 30 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 Special Surveys Division 43 All estimates can be considered releasable However t
43. erived variables for non employer sponsored programs PROGNEDV PDF recorded in Section B COUREMDV WP6 Derived variables for employer sponsored courses COUREMDV PDF recorded in Section C COURNEDV WP6 Derived variables for non employer sponsored courses COURNEDV PDF recorded in Section C HOBBEMDV WP6 Derived variables for employer sponsored courses HOBBEMDV PDF recorded in Section D HOBBNEDV WP6 Derived variables for non employer sponsored courses HOBBNEDV PDF recorded in Section D PROGRAM WP6 Section B PROGRAM PDF Special Surveys Division 73 COURSE WP6 Section C COURSE PDF HOBBY WP6 Section D HOBBY PDF 74 Special Surveys Division 14 0 Appendix A Education Codes The education codes found on this file are based on the Major Field of Study codes used by the Census and some additional codes developed to reflect the unique character of the Adult Education and Training Survey AETS The collapsing of codes reduces the problems of small cell sizes and allows for comparisons with the 1992 and 1994 Adult Education and Training Survey Users interested in the classification structure of the Major Field of Study codes should refer to Statistics Canada publication 99 130 User s Guide To 1986 Census Data On Major Field of Study Major Groupings for AETS Coding Structure The major groupings refers to the broad areas within which more detailed codes are identified in the three digit codes The major grouping
44. es full time members of the Canadian Armed Forces and inmates of institutions These groups together represent an exclusion of approximately 2 of the population aged 15 or over 5 Sample Design The LFS has undergone an extensive redesign culminating in the introduction of the new design at the end of 1994 The LFS sample is based upon a stratified multi stage design employing probability sampling at all stages of the design The design principles are the same for each province A diagram summarizing the design stages appears at the end of this section The survey was conducted as planned in January 1998 in all provinces except Quebec Due to the 1998 ice storm the survey was postponed in Quebec and conducted two months later in March 1998 A detailed description of the LFS design is available in the Statistics Canada publication entitled Methodology of the Canadian Labour Force Survey catalogue 71 526 1998 Since 1992 the LFS has been administered in the Yukon using an alternative methodology that accommodates some of the operational difficulties inherent to remote locales To improve reliability due to small sample size estimates are available on a three month average basis only These estimates are not included in national totals Special Surveys Division 15 5 2 1 HS Primary Stratification Provinces are divided into economic regions and employment insurance regions Economic regions ERs are geographic areas of more or l
45. ess homogeneous economic structure formed on the basis of federal provincial agreements They are relatively stable over time Employment insurance economic regions ElERs are also geographic areas and are roughly the same size and number as ERs but they do not share the same definitions Labour force estimates are produced for the EIER regions for the use of Human Resources Development Canada The intersections of the two types of regions form the first level of stratification for the LFS These ER EIER intersections are treated as primary strata and further stratification is carried out within them see section 5 2 3 Note that a third set of regions Census Metropolitan Areas CMAs is also respected by stratification in the current LFS design since each CMA is also an EIER 5 2 2 MO Types of Areas The primary strata ER EIER intersections are further disaggregated into 3 types of areas rural urban and remote areas Urban and rural areas are loosely based on the Census definitions of urban and rural with some exceptions to allow for the formation of strata in some areas Urban areas include the largest CMAs down to the smallest villages categorized by the 1991 Census as urban 1000 people or more while rural areas are made up of areas not designated as urban or remote All urban areas are further subdivided into two types those using an apartment list frame and an area frame as well as those using only an area frame Approxi
46. etermine the coefficient of variation of the difference between these two estimates 1 Using the CANADA cv table in the same manner as described in example 2 gives the cv of the estimate for people receiving employer supported training as 3 7 and the cv of the estimate for people receiving non employer supported training as 1 4 2 Using rule 3 the standard error of a difference d X X is FO yA where X is estimate 1 X is estimate 2 and and are the coefficients of variation of X and X respectively Special Surveys Division 51 Example 4 That is the standard error of the difference d 603 250 353 is F Vice XO J AKG L MU 6 The coefficient of variation of d is given by Fy d 013 353 0 036 So the approximate coefficient of variation of the difference between the estimates is 3 6 This estimate can be published without qualifications Estimates of Ratios Suppose that the user estimates that 1 934 884 males took employer supported training while 1 735 879 females took employer supported training The user is interested in comparing the estimate of females versus that of males in the form of a ratio How does the user determine the coefficient of variation of this estimate 1 52 First of all this estimate is a ratio estimate where the numerator of the estimate X is the number of females who took employer supported training The denomin
47. ficients of Variation 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 Adult Education and Training Survey 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 weeks of training would be Special Surveys Division 55 greater than the coefficient of variation of the corresponding proportion of adults who received training 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 Coefficients of variation of such estimates can be derived as required for a specific estimate using a technique 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
48. hose of marginal or unacceptable quality level must be accompanied by a warning to caution subsequent users Quality Level Guidelines Quality Level of Guidelines Estimate 1 Acceptable Estimates have a sample size of 30 or more and low coefficients of variation in the range 0 0 16 5 No warning is required Estimates have a sample size of 30 or more and high coefficients of variation in the range 16 6 33 3 2 Marginal 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 3 Unacceptable Estimates have a sample size of less than 30 or very high coefficients of variation in excess of 33 3 Statistics Canada recommends not to release estimates of unacceptable quality However ifthe 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 The user is advised that specify the data do not meet Statistics Canada s quality standards for this statistical program Conclusions based on these data will be unreliable and most likely invalid These data and any consequent findings should not be published If the user chooses to publish these data or findings then this disclaimer must be published with the data 44 Special Surveys Division
49. iation courses Veterinary Medicine Science and Zoology Veterinary Medicine Veterinary Science Zoology General Animal Anatomy Ecology Genetics or Histology Entomology Fisheries Biology Marine Ocean Biology Zoology Other Other Agricultural and Biological Sciences Technologies Fish Farming Fish Technologies and Processing Food Processing Technologies General Hunting and Trapping Agricultural and Biological Sciences Technologies Other 83 ENGINEERING AND APPLIED SCIENCES 049 051 052 054 056 057 058 059 060 84 Architecture and Architectural Engineering Architecture General Architectural Engineering Design Architecture Other Biological and Chemical Engineering Biological Engineering Bioengineering Biomedical or Clinical Engineering Chemical Engineering Civil Engineering Civil Engineering Electrical Electronic Engineering Computer Engineering Electrical Electronic Engineering Music and Recording Engineering Aeronautical and Aerospace Engineering Industrial Engineering and Mechanical Engineering Aeronautical and Aerospace Engineering Industrial Manufacturing Engineering Mechanical Engineering General Instrumentation Engineering Power Engineering Mining Metallurgical and Petroleum Engineering Geological Engineering Metallurgical Engineering Mining Engineering Petroleum Engineering Res
50. iences Technologies and Trades Health Professions Sciences and Technologies Mathematics and Physical Sciences Other e g high school specialization not known Upgrading Academic Personal Development Recreational Activity Uncodable There are three major field of study variables C Program major field of study Section B C Course major field of study Section C C Course major field of study Section D Reasons for Taking Training C C C Number of courses or programs taken for current or future job reasons Number of courses or programs taken for personal interest reasons Number of courses or programs taken for other reasons or reasons not known Special Surveys Division 31 Duration of Training C Duration of programs courses in hours Section B employer sponsored Section B non employer sponsored Section C employer sponsored Section C non employer sponsored Section D employer sponsored Section D non employer sponsored C Total duration of all courses and programs in hours C Duration of training by main reason number of hours of training taken for current or future job taken for personal interest taken for other reasons taken for reasons not given by respondent Section B employer sponsored Section B non employer sponsored Section C employer sponsored Section C non employer sponsored Section D employer sponsored Section D non employer sp
51. ile name PROGNEDV DBF COUREMDV DBF COURNEDV DBF HOBBEMDV DBF HOBBNEDV DBF Activity Level PROGRAM DBF COURSE DBF HOBBY DBF Contents Details Derived variables for non 2 761 records employer sponsored programs 124 variables recorded in Section B Derived variables for employer 4 184 records sponsored courses recorded in 139 variables Section C Derived variables for non 1 724 records employer sponsored courses 124 variables recorded in Section C Derived variables for employer 214 records sponsored courses recorded in 139 variables Section D Derived variables for non 1 538 records employer sponsored courses 124 variables recorded in Section D Section B 4 328 records 79 variables Section C 7 510 records 77 variables Section D 1 978 records 77 variables If a user wishes to work with the flat files there are four flat files one person level file and three activity level files Section B programs Section C courses Section D hobbies SAS cards and SPSS cards are available for these files The variable UNIQUEID can be used to link the files Details about the files are presented in the following table Special Surveys Division 71 AETS 1998 Microdata Files Flat ASCII Files File name Contents Details Person level AETSFLAT TXT C Section A screening 33 410 records questions 996 variables C Section E general questions C Labour Force Survey data socio demographi
52. ining processing service transportation and other crafts College program College programs include those diploma or certificate programs taken at postsecondary non degree granting institutions such as colleges of applied arts and technology or CAATS in Ontario general and vocational colleges Coll ges d enseignement g n ral et professionel CEGEP in Quebec and technical institutes and other establishments that provide university transfer programs or specialized training in fields such as agriculture the arts and forestry Enrolment in these programs normally requires successful completion of secondary school Commercial or business school These are private schools licensed by the province which are profit oriented and are engaged in providing professional and vocational training Correspondence or distance education Any form of education in which the teachers and students are not at the same place is considered distance education Examples include correspondence education and teaching by T V and radio The AETS also considers courses taken by internet as distance education Students usually study from their own home on a part time basis Instruction is received via mail in the form of reading assignments or exercises and or electronic media such as television audio visual tapes audio cassettes etc In British Columbia programs taken through the Open Learning Institute qualify as distance education NOTE The student m
53. ion global education home schooling training for instructors and training officers FINE AND APPLIED ARTS 008 009 010 011 Special Surveys Division Fine Arts Fine Arts General Aesthetics and Art Appreciation Art Studies Art History Painting and Drawing Pottery and Ceramics Sculpture Music Music Musicology Composition and Conducting Musical Instruments Music History and Music Theory Vocal Music Singing Opera Other Performing Arts Performing Arts General Dance Drama Theatre Commercial and Promotional Arts Graphic and Audio visual Arts Commercial Art Promotional Art General Advertising Art Modelling Graphic Art and Design Lithography and Print Making Photography Recorded Music Arts Printing and Publishing 77 Audio Visual Arts NOTE Includes learning such software as Ventura GEM Draw Pagemaker etc 012 Creative and Design Arts Creative and Design Arts General Handicrafts Arts and Crafts Interior Design and Decorating NOTE Includes quilting tatting rug hooking wood carving and stained glass 013 Other Applied Arts Applied Arts General Barbering Beauty Culture and Cosmetology Hairdressing Upholstery and Furniture Applied Arts Repair and Renovation HUMANITIES AND RELATED FIELDS 014 Classics Classical and Dead Languages Classics Classical Studies Ancient Greek Latin and Roma
54. is representative of the population and also ensures that every member of the economic family is assigned the same weight 11 2 MH Weighting Procedures for the Adult Education and Training Survey The principles behind the calculation of the weights for the Adult Education and Training Survey are identical to those for the LFS However further adjustments are made to the LFS weights in order to derive a final weight for 60 Special Surveys Division the individual records on the Adult Education and Training Survey microdata file 1 An adjustment to account for the additional non response to the supplementary survey i e non response to the Adult Education and Training Survey for individuals who did respond to the LFS or for which previous month s LFS data was brought forward 2 An adjustment to account for the use of a five sixth sub sample instead of the full LFS sample 3 An adjustment to account for selecting one person per household 4 A readjustment to account for independent province age sex and economic region census metropolitan area projections after the above adjustments are made Adjustment 1 is calculated the same way as described for the LFS A non response factor is created for each responding AETS record Adjustments 1 2 and 3 are taken into account by multiplying the LFS sub weight for each responding AETS record by the non response factor the factor 6 5 and number of eligible adults in
55. master file does not contain the actual age of the spouse 4 MEDUCLEV MSP_EDUC Educational Attainment The highest education level obtained by the respondent has been grouped into seven categories The same grouping has been applied to the variable education of spouse The master data file contains the finer level of detail for both the respondent and the spouse The master file also contains variables for education of father and education of mother that are not available on the public use microdata file Variables from the Adult Education and Training Survey 5 BQ02B CQ03 DQ02 These questions collect text information about the major field of study Each relevant record on the AETS master file has been assigned a three digit major field of study code There are approximately 500 codes in place On the public use microdata file these codes have been collapsed to about 100 three digit codes A guide to the major field of study codes can be found in Appendix A 6 EQ19 The question collects information on the respondent s ethnic origin The data are suppressed on the public microdata file 7 EQ20 This question asks if the respondent was born in Canada The data are suppressed on the public microdata file 8 EQ21 This questions asks respondents who were not born in Canada their age when they moved to Canada The data are suppressed on the public microdata file 9 EQ22 This question collects information on whether the re
56. mately 1 of the LFS population is found in remote areas of provinces which are less accessible to LFS interviewers than other areas For administrative purposes this portion of the population is sampled separately through the remote area frame Some populations not congregated in places of 25 or more people are excluded from the sampling frame 5 2 3 HO Secondary Stratification In urban areas with sufficiently large numbers of apartment buildings the strata are subdivided into apartment frames and area frames The apartment list frame is a register which is based upon information supplied by CMHC and is maintained in the 18 largest cities across Canada The purpose of this is to ensure better representation of apartment dwellers in the sample as well as to minimize the effect of growth in clusters due to construction of new apartment buildings In the major cities the apartment strata are further stratified into low income strata and regular strata 16 Special Surveys Division Where it is possible and or necessary the urban area frame is further stratified into regular strata high income strata and low population density strata Most urban areas fall into the regular urban strata which in fact cover the majority of Canada s population High income strata are found in major urban areas while low density urban strata consist of small towns that are geographically scattered In rural areas the population density can vary greatly f
57. mates with coefficients of variation in the confidential range Remember if the number of observations on which an estimate is based is less than 30 the weighted estimate should not be released regardless of the value of the coefficient of variation for this estimate This is because the formulas used for estimating the variance do not hold true for small sample sizes Much of the collected data for the AETS is related to person level information such as participation rates or importance of training and education to individuals The AETS also collects information pertaining to the characteristics and nature of programs and courses taken Even though these data are collected from sampled persons the data more appropriately reflect activities ie programs and courses for example the number of training courses and programs taken by Major Field of Study To enable users to better disseminate and analyse the data contained on the microdata files two sets of tables with the design effects sample sizes and population sizes as well as two sets of cv tables are provided The first set of tables is labelled Person level Data and the second one Activity level Data Examples of how to use the cv tables for both types of data are provided in Section 10 1 Special Surveys Division 45 Person level Data PROVINCE REGION DESIGN SAMPLE POPULATION EFFECT SIZE Newfoundland 1 8 1 387 430 998 Prince Edward Island 1 3 1 032
58. n Classical Languages Other 015 History History General Canadian History Medieval and Ancient History Modern History History Other 016 Library and Records Science Library Documentation Science Museology Museum Technology 017 Mass Media Studies Mass Media Studies General Cinematography Film Studies Radio television Journalism News Reporting 018 English French and Other Languages and Literature English Language and Literature General American Literature British Literature Canadian English Literature English Language and Literature Other French Language and Literature General 78 Special Surveys Division French Canadian Literature European French Literature French Language and Literature Other Comparative Literature Asian Languages and Literature Germanic Language and Literature Italian Language and Literature Slavic or East European Languages and Literature Linguistics Languages and Literature Other 019 Philosophy Philosophy General Ethical Philosophy Modern Philosophy Political Philosophy Philosophy Other 020 Religious Studies Religion Religious Studies Comparative Religion Divinity Theology Religious Studies Other NOTE Includes training in the lay ministry and bishop s training 021 Other Humanities and Related Fields Humanities General General Arts Second Language Training Tr
59. n A A Data collection for the LFS is carried out each month during the week following the LFS reference week usually the third week of the month 6 1 M Interviewing for the LFS Statistics Canada interviewers who are part time employees hired and trained specifically to carry out the LFS contact each of the sampled dwellings to obtain the required labour force information Each interviewer contacts approximately 70 dwellings per month Dwellings new to the sample are contacted through a personal visit The interviewer first obtains socio demographic information for each household member and then obtains labour force information for all eligible members Provided there is a telephone in the dwelling and permission has been granted subsequent interviews are conducted by telephone As a result approximately 85 of all dwellings are interviewed by telephone In these subsequent monthly interviews as they are called the interviewer confirms the socio demographic information collected in the first month and collects the labour force information for the current month In all dwellings information about all household members is obtained from a knowledgeable household member usually the person at home when the interviewer calls Such proxy reporting which accounts for approximately 55 of the information collected is used to avoid the high cost and extended time requirements that would be involved in repeat visits or calls necessary to ob
60. n of the microdata file of the survey results Any questions about the data set or its use should be directed to Statistics Canada Stephen Arrowsmith Special Surveys Division Statistics Canada 5 D6 Jean Talon Building Tunney s Pasture Ottawa Ontario K1A OT6 613 951 0566 fax 613 951 0562 email arroste statcan ca Cathy Oikawa Special Surveys Division Statistics Canada 5 A7 Jean Talon Building Tunney s Pasture Ottawa Ontario K1A OT6 613 951 3103 fax 613 951 0562 email oikacat statcan ca Human Resources Development Canada Joni Baran Human Capital and Workplace Studies Applied Research Branch Human Resources Development Canada Place du Portage Phase IV 4th Floor 140 Promenade du Portage Hull Quebec K1A 0J9 819 994 8218 fax 819 953 8584 e mail Joni Baran spg org Special Surveys Division 1 2 0 Background A The 1998 Adult Education and Training Survey is the sixth in a series of similar surveys designed to measure adult participation in education and training Statistics Canada conducted the Adult Education Survey AES in 1984 on behalf of the Department of the Secretary of State and the Adult Training Survey ATS in 1986 on behalf of Employment and Immigration Canada In the late 1980s as the number of adult Canadians pursuing education and training programs increased there was a renewed interest in education and retraining as economic development issues These concerns resul
61. nancial Management Other 037 Industrial Management and Administration Industrial Management and Relations Labour Management and Relations Public Administration Personnel Human Resources Management Industrial Management and Administration Other NOTE Includes shop steward training conflict management training in interviewing skills payroll training Workmans Compensation training for managers project management Special Surveys Division 81 038 039 040 performance management time management risk management human relations Institutional Management and Administration Health Care and Services Management Hotel and Food Administration Funeral Directing and Embalming Tourism and Resort Management Institutional Management Other Marketing Merchandising Retailing and Sales Customer Public Relations Marketing Merchandising Retailing and Sales Marketing and Sales Other NOTE Includes customer service shoplifting prevention training Secretarial Science General Fields Secretarial Science General Bank and Financial Clerk Business Machine Operations Court Reporting and Recording Health Medical Records Technology Legal Secretary Medical Secretary Office Accounting Bookkeeping Word Processing Secretarial Clerical Other NOTE Includes keyboarding dispatcher training training in the use of answering machines software packages such as A
62. next section B asks about training and education programs Section C asks about specific education and training courses Section D contains questions on hobby recreational or interest courses lt also acts as a residual category for any overflow from the previous section The final section E asks questions of a more general nature to profile individual backgrounds work situations and barriers to education and training 64 Special Surveys Division The 1998 AETS Questionnaire Structure Screening Questions Section A Training or education Employment status Programs Courses General Questions Section B ici elementary high school Section E registered apprenticeship Section D trade vocational maximum of 5 college courses for each university section Special Surveys Division 65 The following are short summaries of the contents of each of the five sections Section A Screening Questions The questions in this section are designed to determine whether a respondent received any education or training Based on the answers to these questions the respondent is directed to the appropriate section of the questionnaire The screening questions also determine the respondent s employment status Section B Training and Education Programs This section includes respondents who took programs towards an elementary or high school diploma an apprenticeship certificate a trade vocational diploma or certificate
63. nology General Aeronautical Engineering Technology Agricultural Equipment Mechanics Aircraft and Flight Mechanics Technology Automobile Mechanics Technology Heavy Equipment Mechanics Marine Mechanics Engineering Office Business Machine Technology Small Engine Repairs Power Stationary Engineering Technology Primary Industries Resource Processing Technology Forest Products Technology Mining and Metal Processing Petroleum Technologies Primary Industries Resource Processing Technologies Other Transportation Technologies Transportation Technology General Air Transportation Technology Marine Transportation Technology Special Surveys Division Motor Commercial Public Vehicle Transportation Motor Other Motor Transportation Rail Transportation Technology NOTE Includes courses in the shipping of dangerous goods power squadron training boat safety yatching coast guard training if it is related to operation of a ship 073 Other Engineering Applied Science Technologies n e c Engineering Applied Science Technologies Other NOTE Includes training in snow and ice control snow making propane dispensing bicycle repair gas station attending scaffold erection etc HEALTH PROFESSIONS SCIENCES AND TECHNOLOGIES 074 Dentistry Dentistry or Dental Medicine Dental Sciences Orthodontics Paedodontics Dentistry Specialties Other 075 Medicine General and Ba
64. ns taken to protect the anonymity of individual survey respondents Users requiring access to information excluded from the microdata files may purchase custom tabulations Estimates generated will be released to the user subject to meeting the guidelines for analysis and release outlined in Section 9 of this document Variables from the Labour Force Survey LFS 1 PROVINCE MCMATAB Suppression of Geographic Identifiers The AETS master data file includes explicit geographic identifiers for province economic region and Census Metropolitan Area CMA Itis also Special Surveys Division 33 possible to obtain where sample sizes permit estimates by urban size class The survey public use microdata files do not contain any geographic identifiers below the provincial level except the three largest CMA 2 IND12 Type of Industry and SOC14 SOC22 SPSOC22 Type of Occupation Each record on the AETS master data file has been assigned a three digit 1980 Standard Industrial Code and a four digit Standard Occupational Code On the public use microdata file each of these detailed codes has been collapsed into two digit codes There are 12 types of industry codes and 22 types of occupation codes 3 AGEGRP6 AGEGRP8 SPAGEGRP Age Groups Actual age of the respondent on the AETS master data file has been grouped into six and eight age ranges on the public use microdata file The variable age of spouse has been grouped into six age ranges The
65. nursing nursing the disabled paliative care training trauma and triage training Optometry Optometry Pharmacy and Pharmaceutical Sciences Pharmacy Pharmaceutical Sciences Technology Public Health Public Health General Community Medicine and Health Dental Public Health and Hygiene Epidemiology and Biostatistics Industrial Health Medicine and Hygiene Preventive Medicine Veterinary Public Health NOTE Includes WHIMS training water safety marine emergency measures handling dangerous or hazardous goods training Rehabilitation Medicine Special Surveys Division 084 Special Surveys Division Rehabilitation Medicine General Audiology and Speech Pathology and Therapy Occupational and Physical Therapy Physiotherapy Medical Laboratory and Diagnostic Technology and Medical Treatment Technologies Medical Laboratory Technology Biological Laboratory Technology Biomedical Electronic Technology Dental Laboratory Technology Radiological Technology Cardio pulmonary Resuscitation Chiropractic Technology Dental Assistant Emergency Paramedical Technology Mental Health and Retardation Technology Respiratory Technology Ultrasound and Ultrasonography X ray Medical Technology Radiography X ray Radiotherapy Nuclear Medicine Technology Medical Treatment Technologies Other NOTE Includes St John s Ambulance courses First Aid training and life
66. o received employer supported training Examples of Quantitative Questions Q For how many days did you take this course R _ _ _ Days Q For 1997 what was your total income from wages and salaries before taxes or deductions R 111111 00 9 2 2 MO Tabulation of Categorical Estimates Estimates of the number of people 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 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 Y then Special Surveys Division 41 c dividing the numerator estimate by the denominator estimate 9 2 3 HO 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 number of training and education programs taken by adults who received only employer supported training multiply the value reported in BQO2BALL total number of programs taken in Section B by the final weight for the record then sum this value for those records with TRNGSTAT 1 respondent took
67. only employer supported training To obtain a weighted average of the form X Y the numerator X is calculated as for a quantitative estimate and the denominator Y is calculated as for a categorical estimate For example to estimate the average number of training and education programs taken by adults who received only employer supported training a estimate the total number of training and education programs taken by adults who received only employer supported training as described above b estimate the number of adults who received only employer supported training by summing the final weights of all records with TRNGSTAT 1 then c divide estimate a by estimate b 9 3 M Guidelines for Statistical Analysis The Adult Education and Training Survey 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 differ from that which is appropriate in a sample survey framework with the result that while
68. onnaire interviewers supervisors processing methods etc as those actually used The difference between the estimates obtained from the sample and the results from a complete count taken under similar conditions is called the sampling error of the estimate Errors which are not related to sampling may occur at almost every phase of a survey operation Interviewers may misunderstand instructions respondents may make errors in answering questions the answers may be incorrectly entered on the questionnaire and errors may be introduced in the processing and tabulation of the data These are all examples of non sampling errors 8 2 1 MH The Frame Because the AETS was a supplement to the Labour Force Survey LFS the frame used was the LFS frame Any non response to the LFS had an impact on the AETS frame Because non response to the LFS is quite low usually less than 5 this impact was minimal The quality of the sampling variables in the frame was very high The AETS sample consisted of five rotation groups from the LFS Note that the LFS frame excludes about 2 of all households in the ten provinces of Canada Therefore the AETS frame also excludes the same proportion of households in the same geographical area lt is likely that this exclusion introduces little if any significant bias into the survey data All variables on the LFS frame are updated monthly 8 2 2 I Data Collection Data collection was to have taken place in all t
69. onsored Other Variables Summation For sections B C and D many derived variables have been created which sum responses across the employer sponsored and non employer sponsored programs or courses in a particular section where relevant For example two derived variables were created for question BQ13 C total number of employer supported programs listed in Section B taken by internet C total number of non employer supported programs listed in Section B taken by internet Similar derived variables were also created for Section C and Section D This type of derived variable has been created for the following questions C Nature of employer support BQ06 CQ06 DQ05 C Who else paid who paid BQ07 BQ08 CQ07 CQ08 DQ06 DQ07 C Where training was taken BQ09 CQ09 DQ08 C Who gave training BQ10 CQ10 DQO9 C How training was provided BQ11 CQ11 DQ10 C Whether training was taken by correspondence BQ12 CQ12 DQ11 C Whether training was taken by internet BQ13 CQ13 DQ12 C Main reason for taking training BQ14 CQ14 DQ13 C Importance of reasons for taking training for current or future job BQ15 CQ15 DQ14 C Importance of reasons for taking training for personal interest or other reasons BQ16 CQ16 DQ15 C Extent to which training met expectations BQ17 CQ17 DQ16 32 Special Surveys Division Whether training was taken 6 hours or more a day only 6 hours or less a day only or both CQ20 CQ22 DQ19 DQ21
70. ources and Environmental Engineering Agricultural Engineering Environmental Resource Engineering Fisheries Marine Ocean Engineering Water Resources and Watershed Engineering Design Systems Engineering Engineering Science and Engineering n e c Design Systems Engineering Engineering Science Engineering Physics Engineering n e c Forestry Forestry Forest Harvesting Management Protection Forest Wildlife Management Silviculture Special Surveys Division Forestry Other 061 Landscape Architecture Landscape Architecture Garden Design Landscape Technology ENGINEERING AND APPLIED SCIENCE TECHNOLOGIES AND TRADES 062 Architectural Technology Architectural Technology Architectural Drafting 063 Chemical Technology Chemical Technology Biochemical Technology Plastics Fibreglass and Rubber Technology Textile Processing Technology Dyes 064 Building Technologies Boat Shipbuilding and Naval Architecture Building Technology Construction Electrician Drywall Plastering Lathing Heat and Insulation Interior Finishing Masonry Brick Stone Concrete Plumbing and Pipe Trades Welding Technology Woodworking Carpentry NOTE Includes woodturning wood engraving etc 065 Data Processing and Computer Science Technologies Data Processing General Computer Science Technology Computer Programming and Software Microcomputer and Information System
71. rom 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 9 2 Sample Weighting Guidelines for Tabulation The sample design used for the Adult Education and Training Survey was not self weighting When producing simple estimates including the production of ordinary statistical tables users must apply the proper sampling weight If proper 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 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 9 2 1 MO Definitions of types of estimates Categorical vs Quantitative Before discussing how the AETS data can be tabulated and analysed it is useful to describe the two main types of point estimates of population characteristics which can be generated from the microdata file for the survey Categorical Estimates Categorical estimates are estimates of the number or percentage of the surveyed population possessing certain characteristics or
72. rom relatively high population density areas to low population density areas resulting in the formation of strata that reflect these variations The different stratification strategies for rural areas were based not only on concentration of population but also on cost efficiency and interviewer constraints In each province remote settlements are sampled proportional to the number of dwellings in the settlement with no further stratification taking place Dwellings are selected using systematic sampling in each of the places sampled 5 2 4 HO Cluster Delineation and Selection Households in final strata are not selected directly Instead each stratum is divided into clusters and then a sample of clusters is selected within the stratum Dwellings are then sampled from selected clusters Different methods are used to define the clusters depending on the type of stratum Within each urban stratum in the urban area frame a number of geographically contiguous groups of dwellings or clusters are formed based upon 1991 Census counts These clusters are generally a set of one or more city blocks or block faces The selection of a sample of clusters always 6 or a multiple of 6 clusters from each of these secondary strata represents the first stage of sampling in most urban areas In some other urban areas Census Enumeration Areas EAs are used as clusters In the low density urban strata a three stage design is followed Under this design t
73. rs faced by individuals who wish to take some form of education and training but cannot Special Surveys Division 5 4 0 Concepts and Definitions a a This chapter outlines concepts and definitions of interest to the users The concepts and definitions used in the Labour Force Survey are described in section 4 1 while those specific to the Adult Education and Training Survey are given in section 4 2 Users are referred to Chapter 12 of this document for a copy of the actual survey forms used 4 1 eee Labour Force Survey Concepts and Definitions Labour Force Status Status of the respondent in the labour market a member of the non institutional population 15 years and over is designated as either employed unemployed or not in the labour force Employed Employed persons are those who during the reference week a did any work at all b had a job but were not at work due to own illness or disability personal or family responsibilities bad weather labour dispute vacation other reason not specified above excluding persons on layoff and persons whose job attachment was to a job starting at a definite date in the future Unemployed Unemployed persons are those who during the reference week Work includes any work for pay or profit that is paid work in the context of an employer employee relationship or self employment It also includes unpaid family work where unpaid family work is defined as unpaid
74. rticular age group reference should be made to the proportion or percentage across the top of the table and to the numerator of the proportion or percentage down the left side of the table The intersection of the appropriate row and column gives the coefficient of variation Special Surveys Division 47 Rule 3 Estimates of Differences Between Aggregates or Percentages The standard error of a difference between two estimates is approximately equal to the square root of the sum of squares of each standard error considered separately That is the standard error of a difference d X X is F JA AR where X is estimate 1 X is estimate 2 and and are the coefficients of variation of X and X respectively The coefficient of variation of is given by Fa d This formula is accurate for the difference between separate and uncorrelated characteristics but is only approximate otherwise Rule 4 Estimates of Ratios In the case where the numerator is a subset of the denominator the ratio should be converted to a percentage and Rule 2 applied This would apply for example to the case where the denominator is the number of adults who received employer supported training and the numerator is the number of adults who received full time employer supported training In the case where the numerator is not a subset of the denominator as for example the ratio of the number of adults who received full time
75. s NOTE Includes learning softwares such as DOS UNIX Basic PL1 Rapid Natural Lotus Excel Paradox Foxpro Harvard Graphics Windows E mail SAS Internet etc It also includes training as a LAN technician 066 Electronic and Electrical Technologies Electronic Technology Electrical Technology Microwave and Radar Technology Radio and Television Telecommunications Technology Electronic and Electrical Technologies Other Special Surveys Division 85 067 068 069 070 071 072 86 Environmental and Conservation Technologies Environmental Technology General Earth Resources Technology Forest Conservation Technology Renewable Resources Technology Wildlife and Fisheries Conservation NOTE Includes learning about composting and recycling General and Civil Engineering Technologies Civil Engineering Technologies General Construction Technologies Drafting General Drafting Specialized Engineering Design and Instrumentation Technology Piping Technologies Non Plumbing Surveying and Photogrammetric Technology Industrial Engineering Technologies Industrial Engineering Technology General Air Conditioning and Refrigeration Clothing Fabric Product Manufacturing Machinist Machine Shop Pattern Making Power Sewing Sheet Metal Tool and Die Industrial Technologies Other Mechanical Engineering Technologies Mechanical Engineering Tech
76. s have been used exclusively for apprenticeship coding due to small sample sizes Some special derived variables have been created based on the major groupings These variables are self evident on the file 01 Educational Recreational and Counselling Services 02 Fine and Applied Arts 03 Humanities and Related Fields 04 Social Sciences and Related Fields 05 Commerce Management and Business Administration 06 Agricultural and Biological Sciences Technologies 07 Engineering and Applied Sciences 08 Engineering and Applied Science Technologies and Trades 09 Health Professions Sciences and Technologies 10 Mathematics and Physical Sciences 11 Other i e high school not known etc 12 Upgrading Academic 13 Personal Development 14 Recreational Activity 97 Uncodable Special Surveys Division 75 Three digit Coding Structure EDUCATIONAL RECREATIONAL AND COUNSELLING SERVICES 001 002 003 004 005 76 Education General Education General NOTE Includes co operative learning all levels tutoring level unknown Elementary Primary Education Elementary School Teaching General Elementary School Teaching Specialized Pre school Kindergarten and Early Childhood Education Secondary Education Secondary School Teaching English Language Teaching French Language Teaching Other Language Teaching Mathematics Science Teaching Mathematics Computer Science Teaching Social St
77. saving courses CPR for both medical and non medical personnel courses in dialysis cathederization IV EKG ECG etc 89 086 Medical Equipment and Prosthetics and Other Health Professions Sciences and Technologies n e c Medical Equipment and Prosthetics Health Professions Sciences and Technologies n e c Other NOTE Includes paliative care for non health professionals self breast examination MATHEMATICS AND PHYSICAL SCIENCES 088 089 090 091 094 095 90 Applied Mathematics Applied Mathematics General Computer Science General Computer Science Systems Design and Analysis Operations Research Applied Mathematics Other Chemistry Chemistry General Analytical Chemistry Inorganic Chemistry Organic Chemistry Physical Chemistry Spectroscopy Chemistry Specialties Other Geology and Related Fields Geology Geological and Earth Sciences Geochemistry and Geochronology Geophysics and Geomorphology Hydrogeology Hydrology Mineral Geology Petrology and Petrography Stratigraphy and Sedimentology Geology and Related Fields n e c Other Actuarial Science and Mathematical Statistics and Mathematics Actuarial Science Mathematical Statistics Mathematics Oceanography and Marine Sciences Oceanography Biological Oceanography Fisheries Oceanography Marine Sciences n e c Other Physics Physics General
78. sic Medical Science General Practice Medicine Medical Anatomy Medical Biochemistry Medical Biophysics Medical Embryology Genetics Medical Neurophysiology Medical Pharmacology Medical Physiology Basic Medical Sciences Other NOTE Includes medical updating 076 Medical Specializations Non surgical Neurology Paediatrics Psychiatry Radiology Medical Specializations Non surgical Other NOTE Includes oncology ear nose and throat travel medicine allergist etc 077 Paraclinical Sciences Paraclinical Medical Science Medical Immunology Medical Microbiology Special Surveys Division 87 078 079 080 081 082 083 88 Medical Pathology Medical Parasitology Virology and Bacteriology NOTE Includes AIDS Acquired Immune Deficiency Sydrome Surgery and Surgical Specializations Surgery General Obstetrics and Gynaecology Orthopaedic Surgery Plastic Surgery Surgical Specialties Other Nursing and Nursing Assistance Nursing General Critical Care Nursing Geriatric Nursing Medical Surgical Hospital Nursing Obstetric Nursing Psychiatric Nursing and Mental Health Care Public Health and Community Nursing Nursing Other Nursing Assistant Assistant Nursing Health Care Aide Support Long Term Care Aide Nursing Aide Orderly NOTE Includes intensive care coronary care and emergency care nursing orthopaedic
79. spondent has a long term disability The data are suppressed on the public microdata file 34 Special Surveys Division 8 0 Data Quality EEE 3 1 HA Response Rates The following table summarizes the response rates to the Labour Force Survey and to the Adult Education and Training Survey Note Response rates for Quebec reflect data collection for March 1998 Household Household Number of Person response rate response rate respondents in response rate for full LFS for LFS AETS 1998 to AETS 1998 January 1998 rotations 2 2 3 4 5 6 1 C Newfoundland 95 7 96 1 1 387 90 6 Prince Edward Island 95 1 95 9 1 032 89 7 Nova Scotia 92 9 93 6 2 451 89 7 New Brunswick 94 4 94 8 2 171 87 3 Qu bec 93 3 93 6 6 848 89 5 Ontario 94 7 95 2 8 595 81 1 Manitoba 96 3 96 7 2 630 85 7 Saskatchewan 95 2 96 0 2 513 84 2 Alberta 96 2 96 9 2 604 80 5 British Columbia 93 3 93 9 3 179 84 1 CANADA 94 8 95 3 33 410 Note 1 Response rate is number of responding households as a percentage of number of eligible households 2 Response rate is number of individuals responding to AETS as a percentage of number of individuals responding to LFS in rotations sampled Special Surveys Division 35 3 2 MH Survey Errors The estimates derived from this survey are based on a sample of households Somewhat different figures might have been obtained if a complete census had been taken using the same questi
80. stated code was assigned to the item Te Coding of Open ended Questions A few data items on the questionnaire were recorded by interviewers in an open ended format These were items relating to field of study or specialization of the program and title or name of courses taken during 1997 A total of 14 open ended questions relating to the name of the courses and programs taken by respondents were included in the survey The 12 927 responses to the open ended questions were coded using Automated Coding by Text Recognition ACTR a generalized automated coding system Questions which could not be coded by ACTR were coded manually The automated and manual coding results were double checked for reliability and disagreements were resolved through discussion A complete Special Surveys Division 27 list of the education codes used for coding the texts can be found in Appendix A In addition 1 255 records required industry and occupation coding Respondents whose main job in 1997 was not the same as their main job in the LFS reference week were asked to supply information on the kind of business or industry for which they worked and the kind or work they did The coding of these open ended questions was done by Operations and Intergration Division 7 4 Creation of Derived Variables A number of data items on the microdata file have been derived by combining items on the questionnaire in order to facilitate data analysis Users who wish
81. stimates 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 54 Special Surveys Division Let X and X be sample estimates for 2 characteristics of interest Let the standard error on the difference X X be Fa A X amp X fo u is between 2 and 2 then no conclusion about the difference between the characteristics is justified at the 5 level of significance If however this ratio is smaller than 2 or larger than 2 the observed difference is significant atthe 0 05 level That is to say that the characteristics are significant 10 3 1 HS Example of using the C V tables to do a t test Let us suppose we wish to test at 5 level of significance the hypothesis that there is no difference between the proportion of adults receiving employer supported training who took at least one educational program and the proportion of adults receiving non employer supported training who took at least one educational program From example 3 section 10 1 1 the standard error of the difference between these two estimates was found to be 013 Hence E 6 SD 3 F B amp Since t 27 15 is greater than 2 it must be concluded that there is a significant difference between the two estimates at the 0 05 level of significance 10 4 Coef
82. tain information directly from each respondent At the conclusion of the LFS monthly interviews interviewers introduce the supplementary survey if any to be administered to some or all household members that month If during the course of the six months that a dwelling normally remains in the sample an entire household moves out and is replaced by a new household information is obtained about the new household for the remainder of the six month period 6 2 M Supervision and Control All LFS interviewers are under the supervision of a staff of senior interviewers who are responsible for ensuring that interviewers are familiar with the concepts and procedures of the LFS and its many supplementary surveys and also for periodically monitoring their interviewers and reviewing their Special Surveys Division 23 completed documents The senior interviewers are in turn under the supervision of the LFS program managers located in each of the 6 Statistics Canada regional offices 6 3 M Non Response to the LFS Interviewers are instructed to make all reasonable attempts to obtain LFS interviews with members of eligible households For individuals who at first refuse to participate in the LFS a letter is sent from the Regional Office to the dwelling address stressing the importance of the survey and the household s cooperation This is followed by a second call or visit from the interviewer For cases in which the timing of the intervie
83. tary Questionnaire 12 1 IO The Household Record Docket The Household Record Docket is used to list all household members whose usual place of residence is the selected dwelling It is both a survey operations control document and a record of socio demographic information on household members 12 2 In The Labour Force Questionnaire The Labour Force Questionnaire is used to collect information on the current and most recent labour market activity of all household members 15 years of age or older The Labour Force Questionnaire includes questions on hours of work job tenure type of work reason for hours lost or absent job search undertaken availability for work and school attendance 12 3 MH The Supplementary Survey Questionnaire The Adult Education and Training questionnaire was used in January 1998 in all provinces except Quebec and in March 1998 in Quebec only to collect the information for the supplementary survey The 1998 Adult Education and Training Survey contains a total of 110 questions organized into five sections A E The first section A has a series As noted earlier the survey was conducted as planned in January 1998 in all provinces except Quebec Due to the 1998 ice storm the survey was postponed in Quebec and conducted two months later in March 1998 Special Surveys Division 63 of screening questions to ensure that respondents will answer only the questions that are relevant to their situation The
84. ted in Employment and Immigration Canada commissioning Statistics Canada to conduct the Adult Education and Training Survey AETS in November 1990 and again in 1992 The main objective of all four surveys was to measure participation rates In general each successive questionnaire evolved into a more detailed and comprehensive survey instrument with greater emphasis on profiling the role of the employer and identifying barriers to training In 1994 the AETS was modified to explore areas such as access to training The 1998 Adult Education and Training Survey AETS is comparable to the 1994 survey A few new questions on motivations and expectations have been added Ana for the first time the survey was conducted using computer assisted interviewing As in 1994 Statistics Canada conducted the survey on behalf of Human Resources Development Canada Adults include all people aged 17 and older Special Surveys Division 3 3 0 Objectives E The objectives of the 1998 Adult Education and Training Survey were C to measure the incidence of adult education and training in Canada in a comprehensive manner C to provide a socioeconomic and demographic profile of individuals who participate and do not participate in adult education and training C to profile the types duration and location of training and education that individuals receive C to profile employer involvement in the training and education process C to identify barrie
85. the Numerator of Percentage column so it is necessary to use the figure closest to it namely 4 000 000 3 The coefficient of variation for an estimated aggregate is found by referring to the first non asterisk entry on that row namely 1 9 4 So the approximate coefficient of variation of the estimate is 1 9 The finding that there were 3 670 763 adults who received employer supported training in 1997 is publishable with no qualifications Example 1 b Estimates of Numbers Possessing a Characteristic Aggregates Suppose that a user estimates that 375 119 programs and courses were taken in 1997 for personal development How does the user determine the coefficient of variation of this estimate 1 Refer to the cv table for CANADA Activity level Data 2 The estimated aggregate 375 119 does not appear in the left hand column the Numerator of Percentage column so it is necessary to use the figure closest to it namely 400 000 3 The coefficient of variation for an estimated aggregate is found by referring to the first non asterisk entry on that row namely 7 3 4 So the approximate coefficient of variation of the estimate is 7 3 Special Surveys Division 49 The finding that there were 375 119 programs and courses taken in 1997 for personal development is publishable with no qualifications Example 2 a Estimates of Proportions or Percentages Possessing a Characteristic Suppose that the user es
86. the estimate For example suppose that based upon the survey results one estimates that 15 9 of adults took employer sponsored training and that this estimate is found to have standard error of 003 Then the coefficient of variation of the estimate is calculated as Special Surveys Division 37 38 s x0 19 5 Special Surveys Division 9 0 Guidelines for Tabulation Analysis and Release q ___0_RE_ER 0 pPpQoE Rr This section of the documentation outlines the guidelines to be adhered to by users tabulating analysing publishing or otherwise releasing any data derived from the survey microdata tapes 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 9 1 IA Rounding Guidelines In order that estimates for publication or other release derived from these microdata tapes 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 rounded 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
87. the interviewer was either unable to contact the respondent no member of the household was able to provide the information or the respondent refused to participate in the survey Total non response was handled by adjusting the weight of households who responded to the survey to compensate for those who did not respond In most cases partial non response to the survey occurred when the respondent did not understand or misinterpreted a question refused to answer a question or could not recall the requested information Since it is an unavoidable fact that estimates from a sample survey are subject to sampling error sound statistical practice calls for researchers to provide users with some indication of the magnitude of this sampling error This section of the documentation outlines the measures of sampling error which Statistics Canada commonly uses and which it urges users producing estimates from this microdata file to use also The basis for measuring the potential size of sampling errors 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 resulting measure known as the coefficient of variation C V of an estimate is obtained by dividing the standard error of the estimate by the estimate itself and is expressed as a percentage of
88. timates that 919 218 3 670 763 25 0 of adults who received employer supported training took at least one educational program How does the user determine the coefficient of variation of this estimate 1 Refer to the table for CANADA Person level Data 2 Because the estimate is a percentage which is based on a subset of the total population i e adults who received employer supported training it is necessary to use both the percentage 25 0 and the numerator portion of the percentage 919 218 in determining the coefficient of variation 3 The numerator 919 218 does not appear in the left hand column the Numerator of Percentage column so it is necessary to use the figure closet to it namely 1 000 000 The percentage estimate appears as a column heading so use the column marked 25 0 4 The figure at the intersection of the row and column used namely 3 7 is the coefficient of variation to be used 5 So the approximate coefficient of variation of the estimate is 3 7 The finding that 25 0 of adults who received employer supported training took at least one educational program can be published with no qualifications Example 2 b Estimates of Proportions or Percentages Possessing a Characteristic Suppose that the user estimates that 221 068 375 119 58 9 of training taken for personal development was employer sponsored How does the user determine the coefficient of variation of this estimate
89. to compare derived variables from the 1998 AETS to the 1994 AETS should be aware of one change Due to modifications to the 1998 questionnaire the derivation of employer sponsored and non employer sponsored is slightly different from that of the 1994 AETS Type of Training C Training status Employer sponsored training only Non employer sponsored training only Both employer and non employer sponsored training No training awn Respondent took a program in Section B Respondent took a course in Section C or D Respondent took employer sponsored training O AOA A ON Respondent took non employer sponsored training Total Number of Courses and Programs Taken Total number of programs and courses taken in Sections B C and D Total number of programs taken in Section B Total number of courses taken in Sections C and D Total number of courses taken in Section C Total number of courses taken in Section D O O QO Q Q O Total number of employer sponsored programs taken in Section B 28 Special Surveys Division C Total number of employer sponsored courses taken in Sections C and D C Total number of non employer sponsored programs taken in Section B C Total number of non employer sponsored courses taken in Sections C and D Socio Economic and Demographic Characteristics C Respondent worked in 1997 or January 1998 1 Yes 2 No C Total income C Occupation 1 1 White collar 2 Blue collar 3 Not in labour force
90. to readily conduct supplementary surveys using the LFS design but employing less than the full size sample 5 M Modifications to the L F S design for the AETS The AETS used five of the six rotation groups in the January 1998 and March 1998 LFS samples As noted earlier the survey was collected in January 1998 in all provinces except Quebec Due to the 1998 ice storm the survey was postponed in Quebec and conducted two months later in March 1998 For the 20 Special Surveys Division AETS the coverage of the LFS was modified to include all members of the household aged 17 years of age and older including household members over 70 However unlike the LFS where information is collected for all eligible household members the AETS only collected information from one randomly pre selected household member and proxy responses were not permitted 5 6 HA Sample size by Province for the AETS The following table provides the sample size of the LFS AETS sample The AETS was administered to one individual per household so the sample size is effectively the number of sampled households for five rotation groups of the LFS PROVINCE SAMPLE SIZE Newfoundland 1 530 Prince Edward Island 1 150 Nova Scotia 2 732 New Brunswick 2 487 Quebec 7 650 Ontario 10 597 Manitoba 3 070 Saskatchewan 2 984 Alberta 3 236 British Columbia 3 781 CANADA 39 217 Special Surveys Division 21 22 Special Surveys Division 6 0 Data Collectio
91. towards a degree diploma or certificate Registered apprenticeship program A registered apprenticeship program combines on the job training by observation and practice with shorter periods of related in class training by attending technical courses where the more theoretical aspects are taught to produce a fully qualified journeyman trades person The employer undertakes by contract to employ and train an apprentice under the supervision of a qualified journeyman In Quebec it is possible to receive apprenticeship training without related in class training Special Surveys Division 11 Second language elementary high school program An elementary high school program of Second Language is applicable to anyone enrolled in a program to learn one of Canada s official languages It does not include people enrolled in a high school English or French class It is usually taken by people who are fluent in one official language and wish to learn the other It also includes people new to Canada who are literate in another language and wish to learn English or French Seminars or Workshops Seminars and workshops are short courses or conferences in which a specific subject is studied and debated by participants Sponsor Sponsorship The program or course sponsor is the person or organization paying for tuition or other expenses such as transportation course material or time off on behalf of the student Time off It is considere
92. udies Teaching Secondary Basic Curriculum Other Adult Continuing Education Art and Fine Art Education Commercial Business Education Family Life Education Industrial Vocational Education Music Education Religious Education Secondary Specialties Other Special Education Special Education Teaching Highly Gifted or Exceptional Children Multicultural Education Native Multicultural Education Other Remedial Reading Special Education Other Non teaching Educational Fields Counselling Services and Personal Development Audio visual Educational Media Educational Administration and Organization Educational Psychology Educational Statistics and Sociology History Philosophy and Theory of Education Paraprofessional Teacher Aide Educational Support Counselling Services General Counselling Psychology Marriage Family Life Skills Counselling Special Surveys Division 006 007 Vocational Guidance and Counselling Counselling Services and Personal Development Other Physical Education Health and Recreation Physical Education and Health Kinesiology and Kinanthropology Recreology Recreation and Leisure Services Parks Forest Wildlife Recreation Travel and Tourism Sports Technology Physical Education Health and Recreation Other Other Education Education n e c Other Postsecondary Teacher Training NOTE Includes distance educat
93. ust have been registered in the program or course to be included Current or future job The main reason for taking training is for a current or future job when the training education is taken to learn new skills for a current or future job increase earnings improve job opportunities in current or other field improve opportunities for advancement promotion etc Special Surveys Division 9 Educational leave Educational leave is granted to any employee for educational or training purposes i e general upgrading new skills post secondary education etc Educational leave is usually considered for courses programs taken on a full time basis and lasting for one month or more Such leave may be either paid or unpaid Educational software A respondent is considered to have used educational software when a computer was used to learn any subject as in computer based tutorials The computer must do some teaching to be considered a teaching tool Computers are not considered teaching tools when they are used for tasks such as typing assignments or finding books in a library Elementary high school program Elementary or high school programs include those diploma or certificate programs taken at a public or private elementary or high school Grade levels for elementary and high schools vary from province to province If the respondent and interviewer are not aware of the distinction in their province grades 1 8 are assumed to be elem
94. very slightly with moderate growth in the housing stock Substantial growth can be tolerated in an isolated cluster before the additional sample represents a field collection problem However if growth takes place in more than one cluster in an interviewer assignment the cumulative effect of all increases may create a workload problem In clusters where substantial growth has taken place sub sampling is used as a means of keeping interviewer assignments manageable The cluster sub weight represents the inverse of this sub sampling ratio in clusters where sub sampling has occurred Non response Notwithstanding the strict controls of the LFS some non response is inevitable despite all the attempts made by the interviewers The LFS non response rate is approximately 5 For certain types of non response eg household temporarily absent refusal data from a previous month s Special Surveys Division 59 interview with the household if any is brought forward and used as the current month s data for the household In other cases non response is compensated for by proportionally increasing the weights of responding households The weight of each responding record is increased by the ratio of the number of households that should have been interviewed divided by the number that were actually interviewed This adjustment is done separately for non response areas which are defined by emploment insurance region type of area and rotation group
95. wer s call or visit is inconvenient an appointment is arranged to call back at a more convenient time For cases in which there is no one home numerous call backs are made Under no circumstances are sampled dwellings replaced by other dwellings for reasons of non response Each month after all attempts to obtain interviews have been made a small number of non responding households remain For households non responding to the LFS and for which LFS information was obtained in the previous month this information is brought forward and used as the current month s LFS information No supplementary survey information is collected for these households 6 4 M Data Collection Modifications to the Adult Education and Training Survey The AETS was administered to one randomly selected individual per household The random selection was carried out by the computer upon completion of the demographic portion of the LFS Upon completion of the Labour Force Survey interview the interviewer asked to speak to the selected person for the AETS If the selected person was not available the interviewer arranged for a convenient time to phone back Proxy response was not allowed hence the collection period was extended by one week to allow the interviewers time to contact the selected individuals 24 Special Surveys Division 6 5 HS Non Response to the Adult Education and Training Survey For households responding to the LFS the next stage of d
96. wo towns within a stratum are sampled and then six or 24 clusters within each town are sampled For urban apartment strata instead of defining clusters the apartment building is the primary sampling unit Apartment buildings are sampled from the list frame with probability proportional to the number of units in each building Within each of the secondary strata in rural areas where necessary further stratification is carried out in order to reflect the differences among a number of socio economic characteristics within each stratum Within each rural stratum six EAs or two or three groups of EAs are sampled as clusters 5 2 5 HS Dwelling Selection In all three types of areas urban rural and remote areas selected clusters are first visited by enumerators in the field and a listing of all private dwellings in the cluster is prepared From the listing a sample of dwellings is then Special Surveys Division 17 selected The sample yield depends on the type of stratum For example in the urban area frame sample yields are either 6 or 8 dwellings depending on the size of the city In the urban apartment frame each cluster yields 5 dwellings while in the rural areas and EA parts of cities each cluster yields 10 dwellings In all clusters dwellings are sampled systematically This represents the final stage of sampling 5 26 I Person Selection Demographic information is obtained for all persons for whom the selected dwelling is
97. y data The user will note that some variables have been collapsed to maintain the respondent s confidentiality In some instances it is possible for Statistics Canada to create a custom tabulation should a user require a particular variable that has been suppressed on the microdata file Requests for custom tabulations are conducted on a cost recoverable basis Users interested in custom tabulations should contact Special Surveys Division at 613 951 7355 or 1 888 297 7355 North America only or through e mail to ssd statcan ca It should also be noted that the record layout is the same for both the Adult Education and Training Survey master file for use within Statistics Canada only and the public microdata file Therefore it may appear to the user that there is apparent duplication of variables and also an excessive amount of collapsing or regrouping of variables For a number of the variables shown on the record layout no data are available on the microdata file When fields have been suppressed the actual data have deleted and replaced with a valid skip code Record Layout AETS WP6 AETS PDF Section A Screening Questions Section E General Questions Related derived variables LFS WP6 LFS PDF Labour Force Survey data socio demographic indicators and labour force status Related derived a PROGEMDV WP6 Derived variables for employer sponsored programs PROGEMDV PDF recorded in Section B PROGNEDV WP6 D

1998 Adult Education and Training Survey Microdata User Guide

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