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Microdata User Guide

1. 4 type Description m SH A variable that appeared directly on the questionnaire variable C Coded A variable coded from one or more collected variables e g National Occupational variable Classification Statistics D Derived A variable calculated from one or more collected or coded variables usually calculated variable during head office processing e g total hours volunteered A variable calculated from one or more collected variables like a derived variable but F Flag variable usually calculated by the computer application for later use during the interview e g volunteer flag G Grouped Collected coded suppressed or derived variables collapsed into groups e g age variable groups Imputation A flag indicating whether a particular variable has been imputed not present on the flag Public Use Master File Special Surveys Division 59 Canada Survey of Giving Volunteering and Participating 2004 User Guide e The fifth sixth seventh and eighth characters identify the variable or the question number from the questionnaire In general the last four positions follow the naming on the questionnaire Numbers are used where possible e g Q01 becomes 01 Mark all that apply type questions use letters for each possible answer category e g Q01 Mark all that apply becomes 014A 01B 01C etc Examples of variable names MV1 02A Number of hours spent canvassing for t
2. 19 6 3 Enea 20 Data collection ai Ie 21 7 1 Questionnaire desig eiecti tica c Ee i ota eus 21 7 2 Supervision and quality control ssssssssssssseeee ener nennen 21 7 3 Data collection methodology eene nennen nnns 21 LSA Provincial componen FEERFERELRELFECHEEFESPERFPELFECHERSEFPERFREERECHENSEPERELTEFPECHEESSPERELTEFPEFRELTELPERIER 21 1 3 2 Territorial COMPONER rin adire 22 7 4 Non TESPONS it airada 22 Data processihg ii a da 23 8 1 Dataj capture siste eA tanh kis tian eet tabi e 23 8 2 Editifigiss Ate uos ht onu LN LO D ELM ere cee eer reenter 23 8 3 Coding of open ended questions sse eene nnns 23 8 4 Tercer TS 24 8 5 Creation of derived variables ssssssssssssssseeene enne 24 8 6 Vo Telanbpem IM ERES 25 8 7 Suppression of confidential information sse 25 Data g allly iii 27 9 1 Iesporse rates u era ie be dig 27 9 1 1 Response to the provincial component ssssseeee enne 27 9 1 2 Response to the territorial component sssee emen 28 9 2 S rVey etTOrS uiri ttl Hit diede Le Pede re He in d p t ce He d ds 29 9 2 1 Data collection ee Rue Eh alla 29 9 2 2 Data processing iiu e ett on a RR PERRA IR LR en RR RARE LARES NA Ra eR DRE Ruban 29 9 2 3 Non response and iMputatiON ccoononcccnnnnccccnnnoncccnanannnncnnn nn nn nnno nc nn cano ener 29 9 2 4 Measurement of sampling error 31 Spe
3. Microdata User Guide Canada Survey of Giving Volunteering and Participating 2004 Lid ea ese suisse Canada Canada Survey of Giving Volunteering and Participating 2004 User Guide Table of Contents 1 0 2 0 3 0 4 0 5 0 6 0 7 0 8 0 9 0 Introduction 2 2 2 ee 5 Background er A EE MI 7 Objectives ua en e Dt ee 9 Concepts and definitions lt i iae aiaeei ai aaeain aeea eedan Eana aaa a aeaea aaa adea anaiai 11 Survey methodology for the provincial component eese enne 15 5 1 Population coverage t tete Dee iii 15 5 2 Sample designass 555i nues cent ee ced nee 15 5 27 Stratifica OM dee e DR OA Het ae ado nie ota Fate eR si deae ad 15 5 2 2 Sample allocatiOni aceti p cerae rag cepe Era sce Ra EET ga Das 15 5 3 Sample selection 2 iecit creto ERR DURER TERCER RELIER ERE HERR ECCE RE REL ETE TERA Sk 16 5 4 Sample Size Dy proVInee iae tte tentato e ce reb c er ae hates 17 Survey methodology for the territorial northern component eene 19 6 1 Population coverage n cere ie reete a ieri sepe eene er age 19 6 2 Sample deslgn i etit A ge b Po die testet ee that are 19 62 1 Sample rotation x ane al ne p eet ebd oat 19 6 2 2 Modifications to the Labour Force Survey design in the territories for the Canada Survey of Giving Volunteering and Participating
4. 2004 User Guide 14 0 Structure of the files There are two data files for the 2004 Canada Survey of Giving Volunteering and Participating CSGVP the main answer file MAIN TXT and the giver file GS TXT To link between the MAIN and GS Master files use the variable MASTERID and to link between the two Public Use Microdata Files use the variable PUMFID MAIN TXT This is the main answer file and contains one record per respondent All questions except for those on the GS file are located here In addition summary derived variables have been created from the GS file and placed on the MAIN file GS TXT This is the giving or charitable donation answer file It contains one or more records for each person who made a financial donation one record for each of up to 10 charitable organizations to which the respondent donated over the 12 month reference period in response to a particular solicitation method For each of the 18 methods of solicitation itemized in the questionnaire a donor may therefore have up to 10 records each containing information regarding the type of organization as well as the total value of all donations made to that organization in response to that method of solicitation In cases where the respondent donated to more than 10 organizations in response to a given method of solicitation the total value of all donations made to the remaining organizations is present on the 10th record as derived variable GS1D08
5. Special Surveys Division 57 Canada Survey of Giving Volunteering and Participating 2004 User Guide 15 0 Variable naming conventions The 2004 Canada Survey of Giving Volunteering and Participating CSGVP has adopted a standard eight character variable naming convention for variables on the microdata files Variable name component structure e The first two characters are a combination of letters that identify the section of the questionnaire in which the variable was collected or from which the data used to derive the variable came Positions 1and2 FV HV VS VD MV RV GV ES NV IV FG Questionnaire section name P ey Questionnaire section name Formal Volunteering GS Giving Specifics History of Volunteering DG Decisions on Giving Volunteer Specifics RG Reasons for Giving Volunteer Details NG Reasons for Not Giving more Main Volunteer Activities OG Other Giving Reasons for Volunteering HG Health in General Volunteering in General PA Participating Employer Support ED Education Reasons for Not Volunteering more LF Labour Force Status Informal Volunteer Activity SD Socio demographics ne to Charitable IN income e The third character of the variable name is an identifier of the wave or iteration of a longitudinal survey This is always equal to 1 on the 2004 CSGVP e The fourth character of the variable name refers to the variable type Position Variable
6. respectively That is the standard error of the difference d 0 320 0 286 0 034 is c A 0 320 0 030 F 0 286 X0 035 4 0 0000921 0 0001002 0 014 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide 3 The coefficient of variation of d is given by 0 d 0 014 0 034 0 412 4 Sothe approximate coefficient of variation of the difference between the estimates is 41 2 The difference between the estimates is considered unacceptable and Statistics Canada recommends this estimate not be released However should the user choose to do so the estimate should be flagged with the letter U or some similar identifier and be accompanied by a warning to caution subsequent users about the high levels of error associated with the estimate Example 4 Estimates of ratios Suppose that the user estimates that 1 979 228 women who volunteered did some teaching educating or mentoring on behalf of an organization while 1 605 006 men who volunteered did some teaching educating or mentoring The user is interested in comparing the estimate of women versus that of men in the form of a ratio How does the user determine the coefficient of variation of this estimate 1 First of all this estimate is a ratio estimate where the numerator of the estimate X is the number of female volunteers who did some teaching educating or mentoring A on behalf of an organization
7. Arts and culture includes organizations and activities in general and specialized fields of arts and culture including media and communications visual arts architecture ceramic art performing arts historical literacy and humanistic societies museums and zoos and aquariums 2 Sports and recreation includes organizations and activities in general and specialized fields of sports and recreation Two sub groups of organizations are included in this group 1 amateur sports including fitness and wellness centres and 2 recreation and social clubs including service clubs The classification is based on L M Salamon and H K Anheier 1997 Defining the Nonprofit Sector A Cross national Analysis Manchester University Press 12 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide 3 Education and research includes organizations and activities administering providing promoting conducting supporting and servicing education and research Three sub groups are contained in this group 1 primary and secondary education organizations 2 organizations involved in other education i e adult continuing education and vocational technical schools and 3 organizations involved in research i e medical research science and technology and social Sciences Note that organizations devoted primarily to education and research in the area of specific medical conditions e g Heart an
8. The denominator of the estimate X is the number of male volunteers who did some teaching educating or mentoring on behalf of an organization 2 Refer to the coefficient of variation table for CANADA 3 The numerator of this ratio estimate is 1 979 228 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 3 4 4 The denominator of this ratio estimate is 1 605 006 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 4 096 5 Sothe approximate coefficient of variation of the ratio estimate is given by Rule 4 which is 2 2 Qs a ta where a and are the coefficients of variation of X and X respectively That is a 4 0 034 0 040 0 001156 0 0016 0 052 6 The obtained ratio of female versus male volunteers who did some teaching educating or mentoring on behalf of an organization is 1 979 228 1 605 006 which is 1 23 to be rounded according to the rounding guidelines in Section 10 1 The coefficient of variation of this estimate is 5 2 which makes the estimate releasable with no qualifications Special Surveys Division 43 Canada Survey of Giving Volunteering and Participating 2004 User Guide 44 Example 5 Estimates of differences of ratios Suppose that the user estim
9. diminishes the impact of outlying weighted values Outliers were identified for two variables the totals hours volunteered VD1DHRS and the total value of donations GS1DATOT Once the outliers were identified their impact on the total estimates was diminished by reducing the weight w from Step 3 using a winsorization technique The weight of the outlier was reduced such that the adjusted weighted value of the outlier was equal to the weighted value of the largest non outlier The resulting weight from this step was w 6 Calibration to known population totals The calibration at this step was performed in the same manner as in Step 4 the only difference being the weights input into the calibration process The input to this calibration was the set of weights w output from Step 5 after adjusting for outliers After the calibration was complete the outlier detection was performed again to make sure that there were no outliers remaining The weight w produced at this step is the final weight WTPM on the Master microdata file and WTPP on the Public Use Microdata File Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide 13 0 Questionnaires Refer to CSGVP2004 QuestE pdf for the English questionnaire used for the 2004 Canada Survey of Giving Volunteering and Participating CSGVP Special Surveys Division 55 Canada Survey of Giving Volunteering and Participating
10. live LFS supplement since the collection was not done at the same time as the LFS collection As a result the CSGVP had to repeat the collection of the roster information as well as any LFS variables of interest 6 1 Population coverage The target population consisted of the population 15 years of age and older residing in Canada s three territories with the following exceptions e institutionalized population e residents of Indian Reserves with one exception residents of the Hay River Reserve in the Northwest Territories are included in the target population e full time members of the Canadian Armed Forces In the Yukon and Northwest Territories only the population in selected communities is surveyed by the LFS For operational and cost reasons very small communities are excluded It is estimated that the communities covered represent over 9096 of the population aged 15 and over in the Yukon and Northwest Territories In Nunavut the communities eligible for sampling cover less than 7096 of the population aged 15 and over The estimates are however weighted to the total target population aged 15 plus 6 2 Sample design The LFS in the north employs a multi stage design In the north communities form the primary sampling units PSU Sampling of PSUs is followed by sampling of households 6 2 1 Sample rotation The LFS design in the north employs a rotating panel design in which the sample consists of eight panels or rotation
11. offs apply to estimates of population totals only To estimate ratios users should not use the numerator value nor the denominator in order to find the corresponding quality level Rule 4 in Section 11 1 and Example 4 in Section 11 1 1 explains the correct procedure to be used for ratios Province Territories Acceptable CV Marginal CV Unacceptable CV 0 0 to 16 5 16 6 to 33 3 gt 33 3 Newfoundland and Labrador 15 000 amp over 4 000 to lt 15 000 under 4 000 Prince Edward Island 6 000 amp over 1 500 to lt 6 000 under 1 500 Nova Scotia 22 500 over 5 500 to 22 500 under 5 500 New Brunswick 19 500 amp over 5 000 to 19 500 under 5 000 Quebec 113 000 amp over 28 000 to lt 113 000 under 28 000 Ontario 130 000 amp over 32 000 to lt 130 000 under 32 000 Manitoba 24 500 amp over 6 000 to 24 500 under 6 000 Saskatchewan 25 000 amp over 6 000 to lt 25 000 under 6 000 Alberta 73 000 amp over 18 500 to lt 73 000 under 18 500 British Columbia 60 000 amp over 15 000 to lt 60 000 under 15 000 Provinces 96 500 amp over 23 500 to lt 96 500 under 23 500 Territories 3 500 amp over 1 000 to lt 3 500 under 1 000 Canada 96 000 amp over 23 500 to lt 96 000 under 23 500 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide 11 0 Approximate sampling variability tables In order to supply coeffi
12. probability of being selected The telephone weight was divided by the number of lines in the household The maximum adjustment was capped at four to prevent outliers At this stage the telephone weight becomes the household weight The weights were adjusted as follows W3 number of in scope telephone lines in the household 6 Adjustment for household non response second household level non response adjustment This step accounts for the remaining non responding households i e those for whom the number of telephone lines in the household could be derived The weights were inflated within stratum to compensate for non responding households Non responding households were dropped at this step leaving 32 464 records Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide The weights were adjusted as follows within each stratum P py w for household respondents yA w for household non respondents Ws w l 2 w for household respondents 7 Adjustment for sampling only one person in the household aged 15 or over The household weight calculated in Step 6 was multiplied by the number of members in the household aged 15 or over This adjustment was capped at five to prevent outliers After this step the weight changes from representing households to representing persons The weights were adjusted as follows w w number of household members aged 15 8 Adju
13. provide the minimum set of answers These records are dropped and accounted for in the weighting process see Chapter 12 0 Item non response is when the respondent does not provide an answer to one question but goes on to the next question These are usually handled using the not stated code or are imputed Finally partial non response is when the respondent provides the minimum set of answers but does not finish the interview These records can be handled like either complete non response or multiple item non response In the case of the CSGVP donor imputation was used to fill in missing data for some item and partial non response Further information on the imputation process is given in Section 9 2 3 8 5 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 Most derived variable names have a D in the fourth character position of the name Some derived variables may have a G in the fourth character position of the name In most cases these are variables which have been grouped for ease of use Examples of derived variables include e total number of hours volunteered VD1DHRS e total number hours volunteered for the 15 organization types VD1DTX01 to VD1DTX15 on the master file VD1GTX01 to VD1GTX15 on the public use microdata file PUMF e total amount of donations GS1DATOT on the master file GS1GATOT on
14. 8 Philanthropic intermediaries and voluntarism 11 Grant making fundraising and voluntarism promotion 9 International 12 International Religion 13 Religion 10 11 Business and professional associations unions 14 12 Groups not elsewhere classified 15 Groups not elsewhere classified Participant The CSGVP defines a participant as a person who was a member of at least one group organization or association in the 12 month reference period preceding the survey This includes professional organizations or unions service clubs or fraternal organizations political groups cultural educational or hobby related organizations sports or recreation organizations religious organizations seniors or youth groups support or self help programs environmental groups and community or school related associations Reference period For most questions in the CSGVP questionnaire the reference period was the 12 months preceding the interview For the provincial component interviews were conducted from September 13 to December 19 2004 For the territorial or northern component interviews took place from August 30 to November 15 2004 Volunteer This is a person who volunteered that is who performed a service without pay on behalf of a charitable or other non profit organization at least once in the 12 month reference period preceding the survey This includes any unpaid help provided to schools religious organizations s
15. All Territories 1 831 291 1 332 208 86 5 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide 9 2 Survey errors The estimates derived from this survey are based on a sample of households Somewhat different estimates might have been obtained if a complete census had been taken using the same questionnaire interviewers supervisors processing methods etc as those actually used in the survey The difference between the estimates obtained from the sample and those resulting 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 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 were taken 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 Th
16. P includes mandatory service under the definition of volunteering Organization classification Respondents were asked to provide information on the organizations for which they volunteered and to which they made donations Respondents were first asked to provide the name of the organization A pick list including the most common organizations reported in the 1997 and 2000 surveys was used If the organization cited by the respondent was not on this pick list the respondent was then asked to provide information about what this organization does This information was then used to group organizations into broad categories To classify these organizations the International Classification of Nonprofit Organizations ICNPOY was used Although they are classified according to their primary area of activity some organizations operate in multiple areas A major advantage of the ICNPO system is that it is used widely by other countries and thus allows for international comparisons It has also been devised specifically to reflect the range and nature of activities typically undertaken in the non profit and voluntary sector The ICNPO system developed by the Johns Hopkins Comparative Nonprofit Sector Project and modified for use in Canada groups organizations into 15 Major Activity Groups including a catch all Not Elsewhere Classified category These 15 Major Activity Groups are further grouped into 12 categories The 15 categories are as follows 1
17. The fifth step was to impute on the Main file missing data in any of the variables indicating whether the respondent made a donation in response to each of the 13 methods of solicitation FG Q03 to FG Q15 from the Financial Giving to Charitable Organizations FG section of the questionnaire At this stage imputation was performed only for cases which were already known to be givers i e cases which already had a value of yes in at least one of FG Q03 to FG Q15 This step also included creating additional GS records for cases where one or more of FG Q03 to FG Q15 was imputed as yes The sixth step was to impute partially completed records where the donor status could not be determined because of missing values in FG_Q03 to FG Q15 A total of 88 variables were imputed This last step again included creating additional GS file records for cases where any of FG Q03 to FG Q15 was imputed as yes The following table shows the number of records imputed for some of the key variables of the survey The rates for the income variables are high but in 4596 of the cases where the personal income value was imputed the respondent had reported an income range For the household income this percentage was 28 Number and percentage of records imputed for selected variables Variable Records imputed Total records imputed Personal income 8 418 22 164 38 Household income 9 131 22 164 41 Hours fo
18. The response rate is defined as the number of sampled persons who completed at least Special Surveys Division 27 28 Canada Survey of Giving Volunteering and Participating 2004 User Guide this minimum requirement divided by the number of confirmed residential telephone numbers number of respondents response rate number of residential telephone numbers Response rate by province Confirmed Province residential Responses Response telephone rate numbers Newfound land and Labrador 2 884 1 990 69 0 Prince Edward Island 2 090 1 314 62 9 Nova Scotia 3 209 2 182 68 0 New Brunswick 3 086 2 113 68 5 Quebec 8 939 4 510 50 5 Ontario 10 809 5 421 50 2 Manitoba 3 714 2 554 68 8 Saskatchewan 3 727 2 272 61 0 Alberta 4 367 2 487 56 9 British Columbia 8 452 4 188 49 6 All Provinces 51 277 29 031 56 6 9 1 2 Response to the territorial component Response rates are given for the territorial component of the CSGVP in the following table The same definition of respondent applies in the territories as in the provinces response rate Response rate by territory number of respondents number of respondents number of non respondents Territory Total Out of Respondents Non Response sample scope respondents rate 96 Yukon 713 122 508 83 86 0 Northwest Territories 680 102 489 89 84 6 Nunavut 438 67 335 36 90 3
19. ain confidence limits 44 11 2 1 Example of using the coefficient of variation tables to obtain confidence limits 45 11 3 How to use the coefficient of variation tables to do a t test 46 11 3 1 Example of using the coefficient of variation tables to do a t test 46 11 4 Coefficients of variation for quantitative estimates ssssseeeeee 46 11 5 Coefficient of variation tables ener 47 buste ulli EET orc CP 49 12 1 Weighting for the provincial component nennen nennen 49 12 2 Weighting for the territorial componert 24srsnsusnnnennnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn 52 QUESTIONMAINGS TI 55 Structure OF the file Sk ano iauna ci a ae aan alii 57 Variable naming conventions uursesnnnnennnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnennnn anne anne namens 59 Record layout with univariate frequencies eese eene nennen nennen nennen 61 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide 1 0 Introduction The Canada Survey of Giving Volunteering and Participating CSGVP is one component of the Voluntary Sector Initiative a collaborative program of the federal government and the voluntary sector The CSGVP was conducted by Statistics Canada in the 10 provinces from mid September to December 2004 and from the end of August to mid November 2004 in the three territo
20. ance of being in the sample An automated pre dialling screening activity aimed at removing not in service and known business numbers was performed prior to sending the sample to the computer assisted telephone interviewing CATI unit The final sample sent to the CATI unit consisted of 90 721 telephone numbers Each telephone number in the CATI sample was dialled to determine whether or not it reached a household If the telephone number was found to reach a household the person answering the telephone was asked to provide information on the individual household members One person in the household aged 15 or above was selected at random to complete the survey Proxy interviews were not accepted The selected respondent was asked a series of 15 questions which determined their volunteer status If the respondent was found to be a volunteer they continued through the rest of the questionnaire On the other hand non volunteers were sub sampled at a rate of 5096 and only the sub sample continued through the remaining relevant sections of the questionnaire At the time the sample file was created a flag was included which was randomly set so that it had a 50 chance of being set to one and a 50 chance of being set to zero If a respondent was a non volunteer and the randomly set flag on the sample file had been set to one then they continued if the flag had been set to zero the interview ended after the series of 15 questions Special Surveys Di
21. application Since the final weights of the 1 332 respondents should reflect the entire in scope population the weights of the in scope respondents should be inflated to account for the non respondents The weights should also be adjusted to account for the fact that the fourth group contains both in scope and out of scope units Assuming that the proportion of units that are out of scope among the unresolved units is the same as the proportion of out of scope among the resolved units the weights of the respondents can be adjusted for non response using the following formula Wiat Dig D Wig win t Py t Dig Resp NR res Resp NR res NR unres ws CA Wis 39 Wia Re sp Resp NR res where g represents the level at which the adjustment is performed W g equals the initial weight of unit 7 in adjustment group g Nm equals the sum of the initial weights of all respondents in adjustment group g Resp Wis equals the sum of the initial weights of all resolved non respondents in adjustment NR res group g 2 5 equals the sum of the initial weights of all unresolved non respondents in adjustment NR unres group g We equals the sum of the initial weights of all out of scope units in adjustment group g 00S This adjustment was performed within each stratum provided that the total number of respondents plus non respondents was greater than 30 and the adjustment factor was less than two If these conditions did not hold str
22. as in Step 10 the only difference being the weights input into the calibration process The input to this calibration was the set of weights w output from Step 11 after adjusting for outliers After the calibration was complete the outlier detection was performed again to ensure there were no outliers remaining The weight w produced at this step is the final weight WTPM on the Master microdata file and WTPP on the Public Use Microdata File 12 2 Weighting for the territorial component The following steps describe how the weights for the territorial component were calculated 1 Calculation of initial weights Because the sample for territorial component of the CSGVP was selected from the Labour Force Survey LFS sample the initial weight w was calculated based on design information from the LFS The initial weight reflected the inverse of the initial probability of selection 2 Adjustment of initial weights for non response The CSGVP sample can be considered as being comprised of four groups 1 respondents 2 units determined to be out of scope 3 non respondents resolved to be in scope and 4 non respondents whose in scope out of scope status is unresolved Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide Each of the 1 831 sample units in the territorial component were assigned a status defined by these four groups based on the outcome code of the collection
23. ata were combined for adjustment purposes There were four strata were the sample size warranted a collapsing of strata 3 Adjustment for sampling one person per household The weight calculated in Step 2 was multiplied by the number of people in the household 15 years of age or older In order to avoid problems with outliers and to be consistent with the weighting procedure for the provincial component a limit of five was placed on this adjustment There were 11 cases where the number of persons in the household aged 15 or older was greater than five w w number of household members aged 15 4 Calibration to known population totals The calibration step ensures that the sum of the weights of the respondents is equal to known population counts The calibration was performed using age group sex control totals by territory with the three age groups being ages 15 to 24 25 to 54 and 55 and over In addition in Nunavut the calibration also included a control total for the Inuit population aged 15 and over The control totals used were for the October 2004 reference month Special Surveys Division 53 54 Canada Survey of Giving Volunteering and Participating 2004 User Guide This calibration step was performed merely as a temporary adjustment before identifying outliers Once outliers were identified this calibration step was ignored 5 Identification and treatment of outliers The treatment of outliers is a process which
24. ates that the ratio of female volunteers to male volunteers is 1 039 for ages 15 to 24 while it is 1 169 for ages 55 and over The user is interested in comparing the two ratios to see if there is a statistical difference between them How does the user determine the coefficient of variation of the difference 1 First calculate the approximate coefficient of variation for the 15 to 24 age group ratio R and the 55 and over age group ratio R as in Example 4 The approximate CV for the 15 to 24 age group ratio is 7 07 and 5 66 for ages 55 and over 2 Using Rule 3 the standard error of a difference d R R is where and are the coefficients of variation of R and R respectively That is the standard error of the difference d 1 039 1 169 0 13 is c J 1 039 0 0707 JP 1 169 0 0566 0 005396 0 004378 0 099 3 The coefficient of variation of d is given by c d 0 099 0 13 0 762 4 Sothe approximate coefficient of variation of the difference between the estimates is 76 296 The estimate of the difference between the estimates is considered unacceptable and Statistics Canada recommends this estimate not be released However should the user choose to do so the estimate should be flagged with the letter U or some similar identifier and be accompanied by a warning to caution subsequent users about the high levels of error associated with the estimate 11 2 How to us
25. ator is the number of persons with a university degree and the numerator is the number of volunteers with a university degree In the case where the numerator is not a subset of the denominator as for example the ratio of the number of volunteers with a university degree as compared to the number of volunteers without a university degree the standard error 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 multiplied by R That is the standard error of a ratio R X is a 2 2 c Ryao a where and are the coefficients of variation of X and X respectively The coefficient of variation of R is given by GIR The formula will tend to overstate the error if X and x are positively correlated and understate the error if x and are negatively correlated Rule 5 Estimates of differences of ratios In this case Rules 3 and 4 are combined The CVs for the two ratios are first determined using Rule 4 and then the CV of their difference is found using Rule 3 11 1 1 Examples of using the coefficient of variation tables for categorical estimates The following examples based on the 2004 CSGVP are included to assist users in applying the foregoing rules Example 1 Estimates of numbers of persons possessing a characteristic a aggregates Suppose that a user estimates that 5 615 215 men were volunteers during the reference pe
26. been grouped to a yes no variable indicating presence of children aged 0 to 5 in the household e a detailed 43 category North American Industry Classification which only appears as an 18 category grouping on the PUMF e country of birth which for the PUMF has been grouped to Canada and Outside Canada As well for certain variables that are susceptible to identifying individuals the PUMF may have been treated with local suppression that is some of the values in the master file may have been coded as not stated on the PUMF Special Surveys Division 25 Canada Survey of Giving Volunteering and Participating 2004 User Guide 9 0 Data quality 9 1 Response rates 9 1 1 Response to the provincial component The telephone resolved rate and telephone hit rate by province are provided in the following table The telephone resolved rate is defined as the proportion of telephone numbers confirmed either in the pre screening process or in the field as being either residential or out of scope e g business or non working numbers numbers for cell phones non residences or collective dwellings as a proportion of the total number of telephone numbers generated resolved rate number of resolved telephone numbers number of telephone numbers generated The hit rate is defined as the proportion of resolved telephone numbers that were confirmed to be residential telephone numbers hit rate n
27. bers for data collection Each of the remaining records either had an initial status equal to residential or the initial status was unknown At the end of the data collection period call history information obtained during collection was used to determine the final status of each record Each unit was identified as out of scope in Scope or unresolved The weights of the resolved and out of scope records were adjusted to account for the unresolved records and the unresolved records were dropped The adjustment was performed at the stratum level separately for those with initial status of residential and those with initial status unknown see Section 5 2 for description of strata A total of 8 837 unresolved records were dropped leaving 81 884 records The weights were adjusted as follows within each stratum and initial status Special Surveys Division 49 50 Canada Survey of Giving Volunteering and Participating 2004 User Guide w w w for resolved telephone numbers 5 w for unresolved telephone numbers gt w for resolved telephone numbers 3 Dropping out of scope telephone numbers Phone numbers that were resolved after collection to be non working or otherwise out of scope businesses cell phones non residences collective dwellings etc were dropped A total of 51 277 records remained at this point 4 Adjustment for missing number of telephone lines first household level non response adjustment In orde
28. cial Surveys Division 3 10 0 12 0 13 0 14 0 15 0 16 0 Canada Survey of Giving Volunteering and Participating 2004 User Guide Guidelines for tabulation analysis and release uuunsnnssnonnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnannnnnnnnnnn 33 10 1 Rounding guidelines 1 ne ie Ein ab bete Pede ien 33 10 2 Sample weighting guidelines for tabulation ssssssseeeeneeene 33 10 3 Definitions of types of estimates categorical and quantitative 34 10 3 1 Categorical estimates uersnssrsnennnnennnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnn nn 34 10 3 2 Quantitative estimates iia aa 34 10 3 3 Tabulation of categorical estimates sssssssssse een 35 10 3 4 Tabulation of quantitative estimates sssssssseeeeee 35 10 4 Guidelines for statistical analysis ssssssssssseseseeeeeeeeeene nnne 35 10 5 Coefficient of variation release guidelines ssssseeeeeeen 36 10 6 Release cut offs for the Canada Survey of Giving Volunteering and Participating 38 Approximate sampling variability tables eeeeeeeeeee enne nnne nnns 39 11 1 Howto use the coefficient of variation tables for categorical estimates 40 11 1 1 Examples of using the coefficient of variation tables for categorical estimates 41 11 2 How to use the coefficient of variation tables to obt
29. cients of variation CVs 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 CV 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 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 usually the 75 percentile to be used in the CV tables which would then apply to the entire set of characteristics The table below shows the conservative value of the design effects as well as sample sizes and population counts by province which were used to produce the Approximate Sampling Variability Tables for the 2004 Canada Survey of Giving Volunteering and Participating CSGVP Province Territories Design effect Sample size Population Newfoundland and Labrador 1 37 1 407 440 863 Prince Edward Island 1 39 936 115 184 Nova Scotia 1 31 1 612 779 570 New Brunswick 1 33 1 510 622 946 Quebec 1 49 2 948 6 211 020 Ontario 1 45 4 071 10 068 734 Ma
30. d Informal volunteer The CSGVP defines an informal volunteer or a direct helper as a person who helped someone on their own that is not through a group or organization in the 12 month reference period preceding the survey This includes help given directly to friends neighbours and relatives but excludes help given to anyone living in the household Since these activities are not provided through the structure of an organization they are not included under the definition of volunteering Labour force status Labour force status designates the status of the respondent vis vis the labour market For the 2004 CSGVP estimates of labour force status refer to the survey population aged 15 to 75 as respondents aged 76 and older were not asked the related series of questions The three categories of labour force status are employed unemployed and not in the labour force For the purposes of the CSGVP the three categories of labour force status are defined as follows Employed Employed persons are those who during the week preceding the interview a did any work at all at a job or business or 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 which is defined as unpaid work contributing directly to the operation of a farm business or professional practice owned and operated by a related member of the same h
31. d Stroke Foundation of Canada Canadian Cancer Society are included under category 5 Health 4 Universities and colleges includes organizations and activities related to higher learning This includes universities business management schools law schools and medical schools 5 Health includes organizations that engage primarily out patient health related activities and health support services Two sub groups are included in this category 1 mental health treatment and crisis intervention and 2 other health services including public health and wellness education out patient health treatment rehabilitative medical services and emergency medical services Also included in this category are organizations devoted primarily to education research or support services in the area of specific medical conditions e g Heart and Stroke Foundation Canadian Cancer Society as well as organizations providing support to the terminally ill e g hospices and other types of palliative care 6 Hospitals includes organizations that engage primarily in in patient health care Two sub groups are included in this category 1 hospitals and rehabilitation and 2 nursing homes 7 Social Services includes organizations and institutions providing human and social services to a community or target population Three sub groups are contained in this category 1 social services including organizations providing services for children youth families
32. ding 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 Sums and differences of aggregates or ratio 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 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 from corresponding estimates published by Statistics Canada users are urged to note the reason for such differences in the publication or release document s Under no circumstances are unrounded estimates to be published or otherwise released by users Unrounded estimates imply greater precision than actually exists 10 2 Sample weighting guidelines for tabulation The sample design used for the Canada Survey of Giving Volunteering and Participating CSGVP was not self weighting When producing simple estimates including the production of ordinary statistical tables users must apply the proper
33. e the coefficient of variation 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 9596 confidence interval can 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 9596 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 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide two standard errors and about 99 out of 100 that the difference would be less than three standard errors These different degrees of confidence are referred to as the confidence levels Confidence interva
34. e user wishes to test at 5 level of significance the hypothesis that there is no difference between the proportion of female volunteers who did some teaching educating or mentoring and the proportion male volunteers who did some teaching educating or mentoring From Example 3 Section 11 1 1 the standard error of the difference between these two estimates was found to be 0 014 Hence X X 0320 0 286 0 034 0 0 014 0 014 d t 2 43 Since t 2 43 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 11 4 Coefficients 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 CSGVP 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 number of hours volunteered for arts and culture organizations would be greater than the coefficient of variation of the corresponding proportion of volunteers who volunteered for arts a
35. ection process there will inevitably be some numbers which will not be able to be resolved as being a business or a Residential Telephone Services Survey Statistics Canada 2004 Special Surveys Division 15 Canada Survey of Giving Volunteering and Participating 2004 User Guide residential number The sample size was increased to take all these occurrences into account based on the experience of Statistics Canada s General Social Survey The resulting sample size was 120 650 5 8 Sample selection The sample for the provincial component of the CSGVP was generated using a refinement of RDD sampling called the Elimination of Non Working Banks ENWB Within each stratum a list of working banks area code next five digits was compiled from telephone company administrative files A working bank for the purposes of social surveys is defined as a bank which contains at least one working residential telephone number Thus all banks with only unassigned cell phone non working or business telephone numbers are excluded from the survey frame A systematic sample of banks with replacement was selected within each stratum For each selected bank a two digit number 00 to 99 was generated at random This random number was added to the bank to form a complete telephone number This method allowed listed and unlisted residential numbers as well as business and non working i e not currently or never in service numbers to have a ch
36. ences between such estimates Rule 1 Estimates of numbers of persons possessing a characteristic aggregates The coefficient of variation depends only on the size of the estimate itself On the Approximate Sampling Variability Table for the 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 Rule2 Estimates of proportions or percentages of persons 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 volunteers who provided health care or support including companionship is more reliable than the estimated number of volunteers who provided health care or support including companionship Note that in the tables the coefficients of variation 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 pr
37. ese measures include 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 9 2 1 Data collection Interviewer training consisted of a self study of the CSGVP Interviewer s Manual and a review of the summary publication Caring Canadians Involved Canadians Highlights from the 2000 National Survey of Giving Volunteering and Participating followed by two days of classroom training The manuals included a description of the background and objectives of the survey as well as a glossary of terms and a set of questions and answers The classroom sessions included a presentation of survey objectives a review of key concepts and practice time with training cases mock interviews using the computer assisted telephone interviewing CATI application They also provided an opportunity for interviewers to ask questions before the start of collection 9 2 2 Data processing Data processing of the CSGVP was done in a number of steps including verification coding editing imputation estimation and confidentiality At each step a picture of the output files was taken and verification was performed by comparing the files at the current and previous s
38. estimate a by estimate b X IY 10 4 Guidelines for statistical analysis The CSGVP 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 may differ from that which is appropriate in a sample survey framework with the result that while in many cases the estimates produced by the packages are correct the variances that are calculated are poor Approximate variances for simple estimates such as totals proportions and ratios for qualitative variables can be derived using the accompanying Approximate Sampling Variability Tables 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 one Special Surveys Division 35 Canada Survey of Giving V
39. fficient of variation 3 The numerator 1 605 006 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 1 500 000 Similarly the percentage estimate does not appear as any of the column headings so it is necessary to use the percentage closest to it 30 096 4 The figure at the intersection of the row and column used namely 3 5 is the coefficient of variation to be used 5 Sothe approximate coefficient of variation of the estimate is 3 596 The finding that 28 696 of men who volunteered did some teaching educating or mentoring can be published with no qualifications Example 3 Estimates of differences between aggregates or percentages Suppose that a user estimates that 1 979 228 6 193 361 32 096 of women who volunteered did some teaching educating or mentoring while 1 605 006 5 615 215 28 6 of men who volunteered did some teaching educating or mentoring How does the user determine the coefficient of variation of the difference between these two estimates 1 Using the CANADA coefficient of variation table in the same manner as described in Example 2 gives the CV of the estimate for women as 3 096 and the CV of the estimate for men as 3 596 2 Using Rule 8 the standard error of a difference X x is where Xx is estimate 1 women X is estimate 2 men and and are the coefficients of variation of X and
40. fication and 2001 National Occupational Classification System Statistics relating to the job which the respondent had the week preceding the interview was performed based on responses to questions LF_Q05 to LF Q08 Special Surveys Division 23 24 Canada Survey of Giving Volunteering and Participating 2004 User Guide For the following six questions on the CSGVP questionnaire the text in the Other specify write in category was examined at head office and where possible coded into an existing category e FV_Q16 other volunteer activities e FG_Q15 other methods in which donations were made to a charitable or non profit organization PA_Q11 other types of organizations to which the respondent belonged SD Q0O01 religion SD QO3 country of birth and SD QO068 ancestral ethnicity 8 4 Imputation Imputation is the process that supplies valid values for those variables that have been identified for a change either because of invalid information or because of missing information The new values are supplied in such a way as to preserve the underlying structure of the data and to ensure that the resulting records will pass all required edits In other words the objective is not to reproduce the true microdata values but rather to establish internally consistent data records that yield good aggregate estimates We can distinguish between three types of non response Complete non response is when the respondent does not
41. g publishing or otherwise releasing any data derived from the survey microdata files With the aid of these guidelines users of microdata should be able to produce the same figures as those produced by Statistics Canada and at the same time will be able to develop currently unpublished figures in a manner consistent with these established guidelines 10 1 Rounding guidelines In order that estimates for publication or other release derived from these microdata files correspond to those produced by Statistics Canada users are urged to adhere to the following guidelines regarding the rounding of such estimates a Estimates in the main body of a statistical table are to be 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 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 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 roun
42. groups The households in the panel are contacted once every three months and remain in the sample for eight quarters This results in the household being in the sample for almost two years The survey is conducted monthly One third of the quarterly sample is contacted each month thus 1 24 of the sample is rotated each month 6 2 2 Modifications to the Labour Force Survey design in the territories for the Canada Survey of Giving Volunteering and Participating The CSGVP sample included all households in the October November and December 2004 LFS sample excluding households that were in the LFS sample for the first time The CSGVP used seven of the eight rotation groups in the October November and December 2004 LFS sample The birth rotation group was excluded Roster information was collected for all members of the household and then one household member 15 years of age or older was selected at random to complete the remainder of the CSGVP questionnaire Proxy responses were not permitted Unlike the provincial component in the territorial component there was no sub sampling of the non volunteers All non volunteers were asked to complete all relevant sections of the questionnaire Special Surveys Division 19 20 Canada Survey of Giving Volunteering and Participating 2004 User Guide 6 3 Sample size The sample consisted of the non birth rotation groups of the October November December 2004 quarterly sample of the LFS The in
43. he main volunteer organization MV Main Volunteer Activities section of the questionnaire 1 2004 CSGVP Collected variable 02 Question number from questionnaire A First category in a Mark all that apply type question FV1FVOL Volunteer flag VOL Variable name Note A few important variables do not follow the naming convention e g MASTERID PUMFID PROVCODE WTPM and WTPP 60 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide 16 0 Record layout with univariate frequencies Refer to CSGVP2004 MAIN Master CdBk pdf for the English record layout with univariate counts for the Main Master file Refer to CSGVP2004 GS Master CdBk pdf for the English record layout with univariate counts for the Giving or charitable donation Master file Refer to CSGVP2004 MAIN PUMF CaBk pdf for the English record layout with univariate counts for the Main Public Use Microdata file Refer to CSGVP2004 GS PUMF CaBk pdf for the English record layout with univariate counts for the Giving or charitable donation Public Use Microdata file Special Surveys Division 61
44. itial sample size was 1 831 The following table gives the breakdown by territory Territory Initial Number of sample size respondents Nunavut 438 335 Northwest Territories 680 489 Yukon 713 508 Total territories 1 831 1 332 Special Surveys Division 7 0 Canada Survey of Giving Volunteering and Participating 2004 User Guide Data collection 7 1 Questionnaire design The 2004 Canada Survey of Giving Volunteering and Participating CSGVP provides a new way of measuring giving volunteering and participating It replaces the way these behaviours were measured in the 1997 and 2000 National Survey of Giving Volunteering and Participating Experiences gained from the 2000 NSGVP suggested that a number of adjustments were required related to the questionnaire content In preparation for the 2004 CSGVP consultations were held with key federal provincial and territorial government representatives as well as representatives from the voluntary sector and academics These consultations were focused primarily on survey content and were held from January through April 2002 Following the consultations the steering committee members met to discuss priorities and content issues This meeting resulted in the development of a draft questionnaire to be used in focus group testing and one on one interviews Qualitative testing of content was conducted during the summer months across Canada Changes t
45. l government provided funding to establish a permanent survey program at Statistics Canada on charitable giving volunteering and participating The survey itself was renamed the Canada Survey of Giving Volunteering and Participating CSGVP to distinguish it from surveys in other countries The establishment of a permanent series of surveys provided an opportunity to review the design of the survey instrument to ensure that it would provide the highest quality information on an ongoing basis Consultations were held with a variety of stakeholders from the charitable and non profit sector government and the academic community to identify ways to improve the survey In 2004 survey data were collected in the North Yukon Northwest Territories and Nunavut for the first time where a representative sample of 1 332 respondents aged 15 and older participated in the survey The sample size in the 10 provinces increased from 14 724 respondents in 2000 to 20 832 in 2004 improving the ability to provide estimates both at the provincial level and in the larger urban areas The questionnaire was revised in a number of ways based on experience gained from the earlier surveys Some questions were changed to improve their clarity for respondents Other questions were added to collect new information of interest A number of questions were also dropped from the survey Because the survey is now being conducted on a permanent basis it may be possible to cycle sets of q
46. ls 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 CT CI a X 1Xa where a is the determined coefficient of variation of x and t 1 if a68 confidence interval is desired t 1 6 if a 90 confidence interval is desired t 2 if a 95 confidence interval is desired t 2 6 if a 9996 confidence interval is desired Note 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 11 2 1 Example of using the coefficient of variation tables to obtain confidence limits A 95 confidence interval for the estimated proportion of male volunteers who did some teaching educating or mentoring from Example 2 Section 11 1 1 would be calculated as follows X 28 6 or expressed as a proportion 0 286 t 2 a 3 5 0 035 expressed as a proportion is the coefficient of variation of this estimate as determined from
47. mpling The stratification was done at the province census metropolitan area CMA level Twenty seven strata were formed Each province was divided into a number of CMA strata ranging from zero in Prince Edward Island to four in Ontario and one additional residual non CMA stratum comprising the remainder of the province 5 2 2 Sample allocation The sample size was determined in order to be able to produce 1 cross sectional estimates for volunteers provincially and for the three largest CMAs 2 cross sectional estimates for non volunteers provincially and for the three largest CMAs 3 national cross sectional estimates for immigrants and 4 national longitudinal estimates for those who change volunteer status It was determined that 40 000 responses would be required to meet these objectives A power allocation power 0 20 was used to distribute the total expected responses among the three large CMAs the remainder of the province where these three CMAs occurred and all other provinces The sample was then allocated proportionally within the province to the remaining strata A response rate of 8096 was assumed thus a sample size of 50 000 would be required to obtain the 40 000 responses With an RDD design it is necessary to take into account that not all telephone numbers will be valid residential numbers An RDD sample will include a significant number of business and non working numbers In addition during the data coll
48. nd culture organizations Hence if the coefficient of variation of the proportion is unacceptable making the proportion not releasable then the coefficient of variation of the corresponding quantitative estimate will also be unacceptable making the quantitative estimate not 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 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide files into subgroups or replicates and determining the variation in the estimate from replicate to replicate Users wishing to derive coefficients of variation for quantitative estimates may contact Statistics Canada for advice on the allocation of records to appropriate replicates and the formulae to be used in these calculations 11 5 Coefficient of variation tables Refer to CSGVP2004 CVTabsE pdf for the coefficient of variation tables Special Surveys Division 47 Canada Survey of Giving Volunteering and Participating 2004 User Guide 12 0 Weighting A statistical weight was placed on each record of the data file This weight indicates the number of persons in the population represented by the sampled unit Since the 2004 Canada Survey of Giving Volunteering and Participating CSGVP was conducted as a Random Digit Dialling RDD survey in the 10 p
49. nitoba 1 37 1 834 921 621 Saskatchewan 1 49 1 688 789 055 Alberta 1 44 1 807 2 573 431 British Columbia 1 44 3 019 3 498 788 Provinces 2 11 20 832 26 021 212 Territories 1 83 1 332 71 962 Canada 2 23 22 164 26 093 174 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 Since the approximate CV is conservative the use of actual variance estimates may cause the estimate to be switched from one quality level to another For instance a marginal estimate could become acceptable based on the exact CV calculation Remember f the number of observations on which an estimate is based is less than 30 the weighted estimate is most likely unacceptable and Statistics Canada recommends not releasing such an estimate regardless of the value of the coefficient of variation Special Surveys Division 39 Canada Survey of Giving Volunteering and Participating 2004 User Guide 11 1 How to use the coefficient of variation tables for categorical estimates The following rules should enable the user to determine the approximate coefficients of variation CVs from the Approximate Sampling Variability Tables for estimates of the number proportion or percentage of the surveyed population possessing a certain characteristic and for ratios and differ
50. ny unpaid help you provided to schools religious organizations sports or community associations Did you do any teaching educating or mentoring R Yes No Q In the past 12 months did you make a charitable donation by responding to a request through the mail R Yes No 10 3 2 Quantitative estimates Quantitative estimates are estimates of totals or of means medians and other measures of central tendency of quantities based upon some or all of the members of the surveyed population They also specifically involve estimates of the form X Y where X isan estimate of surveyed population quantity total and Y is an estimate of the number of persons in the surveyed population contributing to that total quantity An example of a quantitative estimate is the average number of hours contributed by volunteers The numerator is an estimate of the total number of hours volunteered and its denominator is the number of persons who volunteered Examples of quantitative questions Q In the past 12 months how many hours did you spend on unpaid activities for this organization R LLL LI hours Q What was the amount of the donation to this organization R LL LLLI dollars Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide 10 3 3 Tabulation of categorical estimates Estimates of the number of people with a certain characteristic can be obtained from the microdata file by
51. o the survey subsequent to the qualitative testing resulted in a pilot test in April 2003 This allowed adjustment for any errors in the computer application and also provided an opportunity to refine the survey procedures The types of questions included in the CSGVP are divided into two major categories those that measure behaviours and indicate what individuals are doing in terms of their giving volunteering and participating and those that measure correlates of these behaviours This latter category includes attitudes and motivations as well as factors that potentially constrain or facilitate giving and volunteering 7 2 Supervision and quality control All Statistics Canada 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 surveys to which they are assigned Senior interviewers are also responsible for periodically monitoring the interviewers Interviewers were trained on the survey content and the computer assisted telephone interviewing CAT application In addition to classroom training the interviewers completed a series of mock interviews to become familiar with the survey and its concepts and definitions 7 3 Data collection methodology 7 3 1 Provincial component For the 10 provinces all data were collected using computer assisted telephone interviewing The CATI system has a number of generic mod
52. olunteering and Participating 2004 User Guide For example suppose that analysis of all male respondents is required The steps to rescale the weights are as follows 1 select all respondents from the file who reported RESPSEX male 2 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 RESPSEX male 3 for each of these respondents calculate a RESCALED weight equal to the original person weight divided by the AVERAGE weight 4 perform the analysis for these respondents using the RESCALED weight However because the stratification and clustering of the sample s design are still not taken into account the variance estimates calculated in this way are likely to be under estimates The calculation of more precise variance estimates requires detailed knowledge of the design of the survey Such detail cannot be given in this microdata file because of confidentiality Variances that take the complete sample design into account can be calculated for many statistics by Statistics Canada on a cost recovery basis 10 5 Coefficient of variation release guidelines Before releasing and or publishing any estimates from the CSGVP 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 sam
53. oportion 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 particular sex or 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 Rule3 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 xj is THOU o d X 21 tiX5a5 where x is estimate 1 X is estimate 2 and and c are the coefficients of variation of X and x respectively The coefficient of variation of dis given by o ld This formula is accurate for the difference between separate and uncorrelated characteristics but is only approximate otherwise Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide 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 denomin
54. ousehold 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 11 Canada Survey of Giving Volunteering and Participating 2004 User Guide b hada job but were not at work due to factors such as own illness or disability personal or family responsibilities vacation labour dispute or other reasons excluding persons on layoff or between casual jobs Unemployed Unemployed persons are those who during the week preceding the interview a were on temporary layoff excluding full time students or b were without work and had actively looked for work in the past four weeks excluding full time students and retired persons Not in the labour force Persons not in the labour force are those who had not worked during the week preceding the interview and a were permanently unable to work or b were full time students who had a job but were absent from work as a result of a layoff or because they were between casual jobs or C were full time students or retired persons who did not have a job and had looked for Work or d did not have a job and did not look for work Mandatory community service This is unpaid help provided to a group or organization that was mandated or required by a school an employer a charitable or non profit organization or some other authority The 2004 CSGV
55. pecial Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide 8 0 Data processing The main output of the Canada Survey of Giving Volunteering and Participating CSGVP is a clean microdata file This chapter presents a brief summary of the processing steps involved in producing this file 8 1 Data capture Responses to survey questions are captured directly by the interviewer at the time of the interview using a computerized questionnaire The computerized questionnaire reduces processing time and costs associated with data entry transcription errors and data transmission Some editing is done directly at the time of the interview Where the information entered is out of range too large or small of expected values or inconsistent with the previous entries the interviewer is prompted through message screens on the computer to modify the information However for some questions interviewers have the option of bypassing the edits and of skipping questions if the respondent does not know the answer or refuses to answer Therefore the response data are subjected to further edit and imputation processes once they arrive in head office 8 2 Editing The first stage of survey processing undertaken at head office was the replacement of any out of range values on the data file with blanks This process was designed to make further editing easier The first type of error treated was errors in ques
56. pling errors as discussed in Chapter 9 0 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 Chapter 9 0 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 rounded weighted estimates All estimates can be considered releasable However those of marginal or unacceptable quality level must be accompanied by a warning to caution subsequent users Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide Quality Level Guidelines Quality level of estimate Guidelines 1 Acceptable Estimates have a sample size of 30 or more and low coefficients of variation in the range of 0 0 to 16 5 No warning is required 2 Marginal Estimates have a sample size of 30 or more and high coefficients of variation in the range of 16 696 to 33 396 Estimates should be flagged wi
57. ports or community associations 14 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide 5 0 Survey methodology for the provincial component In the 10 provinces the 2004 Canada Survey of Giving Volunteering and Participating CSGVP was administered between September 13 2004 and December 19 2004 as a Random Digit Dialling RDD survey a technique whereby telephone numbers are generated randomly by computer Interviews were conducted by telephone 5 1 Population coverage The target population consisted of the population 15 years of age or older residing in Canada s 10 provinces with the exception of the institutionalized population The surveyed population excluded persons living in households without a land phone line i e those living in households with no phone or with only cell phones were excluded It is estimated that in 2004 approximately 4 296 of households in the 10 provinces had no land line telephone 1 5 having no phone and 2 7 having cell phones only It is important to realize that although these persons were excluded from the population surveyed the estimates were weighted to account for them The underlying assumption is that the people in these households have the same characteristics and behaviours as those surveyed 5 2 Sample design 5 2 1 Stratification The sample for the provincial component of CSGVP is based on a stratified design employing probability sa
58. r organization 1 599 22 164 3 Hours for organization 2 285 22 164 1 Hours for organization 3 236 22 164 1 Hours for organizations 44 188 22 164 1 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide Donations to organizations 1 to 10 16 132 93 047 17 Donations to organizations 11 4 867 93 047 5 The following table shows the resulting impact on the actual estimates Percentage of estimate originating from imputed values Imputed Total Variable estimate estimate imputed millions millions Hours for organization 1 70 6 1 467 8 5 Hours for organization 2 14 6 311 7 5 Hours for organization 3 7 5 117 0 6 Hours for organizations 44 7 1 86 8 8 Amount of total donations 1 732 3 8 882 3 20 Number of donors 0 9 22 2 4 The CSGVP imputation process worked well and helped to fill incomplete responses with the experience of other respondents with similar or identical characteristics This adds to the number of units used in any analysis performed by researchers Note that the public use microdata file does not contain any of the imputation flags The impact of this is an additional layer of confidentiality 9 2 4 Measurement of sampling error 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
59. r to convert the telephone level weight calculated in Step 2 into a household level weight it was necessary to divide the telephone weight by the number of telephone lines associated with the household There are cases where the number of lines cannot be derived because of either item non response or total household non response In the case of item non response the number of lines was imputed to one The remaining cases where the number of telephone lines could not be derived were dropped and the weights of the retained units were inflated to compensate for the dropped records As a result of a non response study it was discovered that those cases who eventually responded but had at least one refusal or in progress language barrier code in the history of calls had much lower volunteer rates than other cases Adjustment groups were formed by splitting each stratum into groups based on the presence of a refusal and or language barrier The weights were adjusted as follows within each stratum and refusal language barrier group 2 yX w for households with number of lines gt gt w for households missing number of e W W gt w for households with number of lines A total of 33 714 records remained 5 Adjustment for number of telephone lines in the household Weights for households with more than one telephone line with different telephone numbers were adjusted downwards to account for the fact that such households have a higher
60. ries This manual has been produced to facilitate the manipulation of the microdata file of the survey results Any questions about the data set or its use should be directed to Statistics Canada Client Services Special Surveys Division Telephone 613 951 3321 or call toll free 1 800 461 9050 Fax 613 951 4527 E mail ssd statcan ca Special Surveys Division 5 Canada Survey of Giving Volunteering and Participating 2004 User Guide 2 0 Background In the course of their busy lives and many commitments millions of Canadians make a conscious effort to contribute to others and their communities through charitable giving volunteering their time to charitable and non profit organizations and by helping individual Canadians directly on their own In 1997 the National Survey of Giving Volunteering and Participating NSGVP provided the first comprehensive look at the contributions that Canadians made to one another through their gifts of time and money The NSGVP was developed through a unique partnership of federal government departments and non profit and voluntary organizations that included the Canadian Centre for Philanthropy now operating under the name of Imagine Canada Canadian Heritage Health Canada Human Resources Development Canada Statistics Canada and Volunteer Canada Using a similar framework this survey was conducted again in 2000 as part of the federal government s Voluntary Sector Initiative In 2001 the federa
61. ring and Participating 2004 User Guide 10 Calibration to known population totals An adjustment was made to the weights in order to make population estimates consistent with external population counts for persons 15 years and older The following external control totals were used e Population totals for each province census metropolitan area CMA stratum and e Population totals by province sex and the following age groups 15 to 19 20 to 24 25 to 29 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55 to 59 60 to 64 65 to 69 and 70 and over This calibration step was performed merely as a temporary adjustment before identifying outliers Once outliers were identified this calibration step was ignored 11 Identification and treatment of outliers The treatment of outliers is a process which diminishes the impact of outlying weighted values Outliers were identified for two variables the total hours volunteered VD1DHRS and the total value of donations GS1DATOT Once the outliers were identified their impact on the total estimates was diminished by reducing the weight w from Step 9 using a winsorization technique The weight of the outlier was reduced such that the adjusted weighted value of the outlier was equal to the weighted value of the largest non outlier The resulting weight from this step was w 12 Calibration to known population totals The calibration at this step was performed in the same manner
62. riod How does the user determine the coefficient of variation of this estimate 1 Refer to the coefficient of variation table for CANADA 2 The estimated aggregate 5 615 215 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 6 000 000 3 The coefficient of variation for an estimated aggregate is found by referring to the first non asterisk entry on that row namely 1 8 4 So the approximate coefficient of variation of the estimate is 1 8 The finding that there were 5 615 215 to be rounded according to the rounding guidelines in Section 10 1 male volunteers during the reference period is publishable with no qualifications Special Surveys Division 41 42 Canada Survey of Giving Volunteering and Participating 2004 User Guide Example 2 Estimates of proportions or percentages of persons possessing a characteristic Suppose that the user estimates that 1 605 006 5 615 215 28 696 of men who volunteered did some teaching educating or mentoring How does the user determine the coefficient of variation of this estimate 1 Refer to the coefficient of variation table for CANADA 2 Because the estimate is a percentage which is based on a subset of the total population i e men who were volunteers it is necessary to use both the percentage 28 696 and the numerator portion of the percentage 1 605 006 in determining the coe
63. rovinces while it used a sub sample of the Labour Force Survey LFS sample in the three territories two different sets of weighting procedures were used 12 1 Weighting for the provincial component The weighting for the provincial component consisted of several steps e calculation of the basic telephone weight e an adjustment for unresolved telephone numbers e dropping out of scope records e an adjustment for the number of telephone lines in the household e adjustments for non response household level and person level e an adjustment for selecting only one person from the household e an adjustment for sub sampling non volunteers e an adjustment for outliers and e an adjustment to make the population estimates consistent with known province age sex totals from the Census projected population counts for persons 15 years of age and over The details of these steps follow 1 Calculation of the basic telephone weight The initial weight is the inverse of the probability of selection of the telephone number calculated as follows within each stratum number of possible telephone numbers from working banks 1 number of sampled telephone numbers There were 120 650 phone numbers selected in the sample 2 Adjustment for unresolved telephone numbers Before data collection the 120 650 phone numbers underwent a screening process 9 154 business numbers and 20 775 non working numbers were dropped leaving 90 721 telephone num
64. s 12 International includes organizations promoting cultural understanding between peoples of various countries and historical backgrounds as well as those providing relief during emergencies and promoting development and welfare abroad 13 Religion includes organizations promoting religious beliefs and administering religious services and rituals e g churches mosques synagogues temples shrines seminaries monasteries Special Surveys Division 13 Canada Survey of Giving Volunteering and Participating 2004 User Guide and similar religious institutions in addition to related organizations and auxiliaries of such organizations 14 Business and professional associations unions includes organizations promoting regulating and safeguarding business professional and labour interests 15 Groups not elsewhere classified The correspondence between the 12 category classification and the 15 category classification is as follows Business and professional associations unions 12 Category ICNPO 15 Category ICNPO f 1 Arts and culture 1 Culture and recreation 2 Sports and recreation 3 Education and research ej SENDE Bar 4 Universities and colleges 5 Health 3 Heati 6 Hospitals 4 Social services 7 Social services 5 Environment 8 Environment 6 Development and housing 9 Development and housing 7 Law advocacy and politics 10 Law advocacy and politics
65. s chapter outlines concepts and definitions of interest to the users Donor A donor is a person who made at least one donation of money to a charitable or other non profit organization in the 12 month reference period preceding the survey Financial donation A financial donation is money given to a charitable or other non profit organization during the 12 month reference period preceding the survey Money given to the same organization on multiple occasions in response to the same solicitation method constitutes only one donation For example all money donated to a particular religious institution over the 12 months preceding the survey through a collection at the place of worship would be considered to be a single donation In kind donation This is a non monetary donation made to a charitable or other non profit organization Examples include donations of clothing or household items and donations of food Industry and Occupation The 2004 Canada Survey of Giving Volunteering and Participating CSGVP provides industry and occupation information for employed persons only i e regarding the job which the individual occupied the week preceding the interview For industry statistics have been provided based on both the 1997 and 2002 North American Industry Classification Systems NAICS For occupation both the 1991 Standard Occupation Classification SOC and the 2001 National Occupation Classification Statistics NOC S have been use
66. 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 CV of an estimate is obtained by dividing the standard error of the estimate by the estimate itself and is expressed as a percentage of the estimate For example suppose that based upon the survey results one estimates that 54 896 of Canadians aged 15 to 24 had done some volunteering in the preceding year and this estimate is found to have a standard error of 0 012 Then the coefficient of variation of the estimate is calculated as os X 100 2 2 0 548 There is more information on the calculation of coefficients of variation in Chapter 11 0 Special Surveys Division 31 Canada Survey of Giving Volunteering and Participating 2004 User Guide 10 0 Guidelines for tabulation analysis and release This chapter of the documentation outlines the guidelines to be adhered to by users tabulating analyzin
67. stment for person level non response The weights were then inflated to compensate for non responding persons This adjustment was done within stratum age group and sex and non responding persons were dropped leaving 29 031 records The weights were adjusted as follows within each stratum age group and sex i x w for person respondents X w for person non respondents W W ee o oI 1 DE w for person respondents 9 Adjustment for sub sampling non volunteers The weighted sub sampling rate for non volunteers was calculated within each stratum as follows using the weighted counts from the previous step M w for selected non volunteers Weighted sub sampling rate gt w for selected non volunteers gt w for non selected non volunteers The inverse of this rate was multiplied by the weights for the selected non volunteers and the non selected non volunteers were dropped In effect the weights of the selected non volunteers were approximately doubled to account for the non volunteers who were not selected The theoretical rate of sub sampling non volunteers was 50 but the actual weighted sub sampling rate within each stratum ranged from 46 596 to 59 096 For non volunteers the weights were adjusted as follows within each stratum Ww W a E sub sampling For volunteers Ws W The final number of records was 20 832 Special Surveys Division 51 52 Canada Survey of Giving Voluntee
68. 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 C dividing estimate a by estimate b X Y 10 3 4 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 hours volunteered by persons aged 65 and over multiply the value reported in VD1DHRS hours volunteered by the final weight for the record then sum this value over all records with DH1GAGE 6 age group 65 and over To obtain a weighted average of the form X IY 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 hours volunteered by those aged 65 and over a estimate the total number of hours volunteered X as described above b estimate the number of people in this category Y in this category by summing the final weights of all records with DH1GAGE 6 then C divide
69. survey 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 Special Surveys Division 33 34 Canada Survey of Giving Volunteering and Participating 2004 User Guide 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 10 3 Definitions of types of estimates categorical and quantitative Before discussing how the CSGVP data can be tabulated and analyzed 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 CSGVP 10 3 1 Categorical estimates Categorical estimates are estimates of the number or percentage of the surveyed population possessing certain characteristics or falling into some defined category The number of Canadians who volunteered or tne number of Canadians who made financial donations are examples of such estimates An estimate of the number of persons possessing a certain characteristic may also be referred to as an estimate of an aggregate Examples of categorical questions Q In the past 12 months did you do any of the following activities without pay on behalf of a group or an organization This includes a
70. tem non response or partial non response record also called a recipient record certain characteristics were compared to those from all potential donor records When a characteristic was the same for a donor record and the recipient record a value was added to the score of that donor The donor record with the highest score was deemed the closest donor and was chosen to fill in missing pieces of information of the non respondent If there was more than one donor record with the highest score a random selection occurred The pool of donor records was made up in such a way that the imputed value assigned to the recipient in conjunction with other non imputed items from the recipient would still pass the edits Imputation was done in six steps The first three steps related to imputation of variables on the Main file see Chapter 14 0 for file structure The first step was to impute both personal and household income The second step was to impute the hours volunteered by activity for the main organization The third step was to impute the total hours volunteered for the second and third organizations and the total hours volunteered for all other organizations combined The fourth step was to impute variables on the Giving GS file related to amount donated This step also included creating additional GS file records for cases where a value for GS Q07 Did you make any other donations in response to this solicitation method was imputed as yes
71. tep 9 2 3 Non response and imputation 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 item or partial non response failure to answer just one or some questions to total non response Total non response occurred either because the interviewer was unable to contact the respondent because no member of the household was able to provide the information or because the respondent refused to participate in the survey Total non response was handled by adjusting the weight of individuals who responded to the survey to compensate for those who did not respond Special Surveys Division 29 Canada Survey of Giving Volunteering and Participating 2004 User Guide 30 In most cases item or 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 In item and partial non response cases for certain variables donor imputation was performed Most of these imputations were done in order to provide complete data enabling the calculation of totals e g total number of hours and total value of donations Also the imputation helped to keep records in the sample even if part of the required information was not filled in by the respondent All imputations involved donor records that were selected using a score function For each i
72. th 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 33 396 Statistics Canada recommends not to release estimates of unacceptable quality However if the user chooses to do so then estimates should be flagged with the letter U or some similar identifier and the following warning should accompany the estimates Please be warned that these estimates flagged with the letter U do not meet Statistics Canada s quality standards Conclusions based on these data will be unreliable and most likely invalid Special Surveys Division 37 38 Canada Survey of Giving Volunteering and Participating 2004 User Guide 10 6 Release cut offs for the Canada Survey of Giving Volunteering and Participating The following table provides an indication of the precision of population estimates as it shows the release cut offs associated with each of the three quality levels presented in the previous section These cut offs are derived from the coefficient of variation CV tables discussed in Chapter 11 0 For example the table shows that the quality of a weighted estimate of 10 000 people possessing a given characteristic in Newfoundland and Labrador is marginal Note that these cut
73. that characteristic and summing the weights entered on those records Details of the method used to calculate these weights are presented in Chapter 12 0 8 7 Suppression of confidential information It should be noted that the Public Use Microdata Files may differ from the survey master files held by Statistics Canada These differences usually are the result of actions taken to protect the anonymity of individual survey respondents The most common actions are the suppression of file variables grouping values into wider categories and coding specific values into the not stated category 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 Chapter 10 0 of this document The survey master file includes geographic identifiers that are more explicit than the PUMF notably census metropolitan areas and urban centres The PUMF does not contain any geographic identifiers below the provincial level The master file also includes some demographic variables which have been excluded from the PUMF such as ancestral ethnicity and immigration status The survey master file includes certain detailed information which is included on the PUMF only in grouped form This includes e precise age of respondent e number of children aged 0 to 5 in the household on the PUMF this has
74. the PUMP e total amount of donations for the 15 organization types GS1DAXO01 to GS1DAX15 on the master file GS1GAXO01 to GS1GAX15 on the PUMF and e total amount of donations by solicitation method FG1DA03 to FG1DA15 on the master file FG1GA03 to FG1GA15 on the PUMP Derived variables for donations were derived from the Giving GS file and placed on the MAIN file see Chapter 14 0 for further information on the file structure In general a derived variable was not calculated if any part of the equation was not answered i e don t know refused or not stated In these cases the code assigned to the derived variable was usually not stated Special Surveys Division Canada Survey of Giving Volunteering and Participating 2004 User Guide 8 6 Weighting The principle behind estimation in a probability sample 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 296 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 people who had volunteered in the preceding 12 months is to be estimated it is done by selecting the records referring to those individuals in the sample with
75. the handicapped and the elderly and self help and other personal social services 2 emergency and relief and 3 income support and maintenance 8 Environment includes organizations promoting and providing services in environmental conservation pollution control and prevention environmental education and health and animal protection Two sub groups are included in this category 1 environment and 2 animal protection 9 Development and housing includes organizations promoting programs and providing services to help improve communities and promote the economic and social well being of society Three sub groups are included in this category 1 economic social and community development including community and neighbourhood organizations 2 housing and 3 employment and training 10 Law Advocacy and Politics includes organizations and groups that work to protect and promote civil and other rights advocate the social and political interests of general or special constituencies offer legal services or that promote public safety Three sub groups are contained in this category 1 civic and advocacy organizations 2 law and legal services and 3 political organizations 11 Grant making fundraising and voluntarism promotion includes philanthropic organizations and organizations promoting charity and charitable activities including grant making foundations voluntarism promotion and support and fund raising organization
76. the tables CI 0 286 2 0 286 0 035 0 286 2 0 286 0 035 CI 0 286 0 020 0 286 0 020 CI 0 266 0 306 With 95 confidence it can be said that between 26 6 and 30 6 of male volunteers did some teaching educating or mentoring Special Surveys Division 45 46 Canada Survey of Giving Volunteering and Participating 2004 User Guide 11 3 How to use the coefficient of variation 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 estimates can be numbers averages percentages ratios etc Tests may be performed at various levels of significance where a level of significance is the probability of concluding that the characteristics are different when in fact they are identical Let X and XS be sample estimates for two characteristics of interest Let the standard error on the difference X X be 05 X X If 1 is between 2 and 2 then no conclusion about the difference between the O d characteristics is justified at the 596 level of significance If however this ratio is smaller than 2 or larger than 2 the observed difference is significant at the 0 05 level That is to say that the difference between the estimates is significant 11 3 1 Example of using the coefficient of variation tables to do a t test Let us suppose that th
77. tionnaire 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 treated involved a lack of information in questions which should have been answered For this type of error a non response or not stated code was assigned to the item 8 3 Coding of open ended questions A few data items on the questionnaire were recorded by interviewers in an open ended format and coded at head office The computerized questionnaire contained a pick list of common organizations which was used to assist the interviewer when entering information regarding the type of organization for which the respondent volunteered VD Q01 or to which the respondent donated GS Q01 If the organization cited by the respondent was not on this pick list the respondent was asked to provide some information regarding what the organization does This information was used to code the type of organization using the International Classification of Nonprofit Organizations ICNPO Revision 1 see Chapter 4 0 for further information on this classification system Coding of the industry 1997 and 2002 North American Industry Classification Systems and occupation 1991 Standard Occupational Classi
78. tistics Canada regional offices The workload and interviewing staff within each office was managed by a project manager The automated scheduler used by the CATI system ensured that cases were assigned randomly to interviewers There were a maximum of 20 call attempts per case identified as a residential phone number once the maximum was reached the case was reviewed by a senior interviewer who determined if additional calls would be made 7 3 2 Territorial component Collection of the CSGVP in the territories was very similar to the collection in the provinces with the following exceptions e All data were collected using a computer assisted personal interview CAPI application which allowed responses to be captured directly by the interviewer at the time of the interview and e While most interviews were collected by telephone 74 for households without landlines interviews were conducted in person 26 7 4 Non response Interviewers were instructed to make all reasonable attempts to obtain a completed interview with the randomly selected member of the household Those who at first refused to participate were re contacted up to two more times to explain the importance of the survey and to encourage their participation For cases in which the timing of the interviewer s call was inconvenient an appointment was arranged to call back at a more convenient time For cases in which there was no one home numerous call backs were made S
79. uestions in and out of the survey The survey platform was also changed The NSGVP was administered to a sub sample of respondents to Statistics Canada s Labour Force Survey LFS Because of concerns about demands being placed on LFS respondents the provincial component of the 2004 CSGVP was conducted as a Random Digit Dialling RDD survey in which respondents were recruited specifically to participate in the CSGVP The 2004 CSGVP provides a new way of measuring giving volunteering and participating It replaces the way these behaviours were measured in the 1997 and 2000 NSGVPs Because of these changes it is not appropriate to compare the results from the 2004 CSGVP with the previous NSGVP surveys Special Surveys Division 7 Canada Survey of Giving Volunteering and Participating 2004 User Guide 3 0 Objectives The objectives of the Canada Survey of Giving Volunteering and Participating CSGVP are threefold 1 to collect national data to fill a void of information about individual contributory behaviours including volunteering charitable giving and civic participation 2 to provide reliable and timely data to the System of National Accounts and 3 to inform both the public and voluntary sectors in policy and program decisions that relate to the charitable and voluntary sector Special Surveys Division 9 Canada Survey of Giving Volunteering and Participating 2004 User Guide 4 0 Concepts and definitions Thi
80. ules which can be quickly adapted to most types of surveys A front end module contains a set of standard response codes for dealing with all possible call outcomes as well as the associated scripts to be read by the interviewers The survey introduction used a standard approach which introduces the agency informs the respondent of the name and purpose of the survey and the names of the survey sponsors outlines how survey results will be used and provides an estimated interview duration The random selection of one person per household was carried out at the time of the interview The interviewer first obtained the age sex and relationships of everyone in the Special Surveys Division 21 22 Canada Survey of Giving Volunteering and Participating 2004 User Guide household Once this information was completed the CATI application randomly selected one individual to be the CSGVP respondent Respondents were informed that their participation in the survey was voluntary and that their information would remain strictly confidential The CATI application ensured that only valid question responses were entered and that all the correct flows were followed Edits were built into the application to check the consistency of responses identify and correct outliers and to control who gets asked specific questions This meant that the data was already quite clean at the end of the collection process The cases were distributed to five Sta
81. umber of residential telephone numbers number of resolved telephone numbers Telephone resolved rate and hit rate by province Telephone Telephone Telephone Confirmed Hit Province A numbers numbers Total Resolved residential Responses vate nerated sent to resolved resolved rate telephone P o generated collection in the field numbers Newfoundlana ang 9 003 5 644 4 905 8264 918 2 884 1 990 34 9 Labrador Mos award 5 803 3 697 3 242 5 348 922 2 090 1 314 39 1 Nova Scotia 8 619 6 049 5 482 8 052 93 4 3 209 2 182 39 9 New Brunswick 9 623 6 449 5 760 8 934 92 8 3 086 2 113 34 5 Quebec 17 914 14 883 13 404 16 435 91 7 8 939 4 510 54 4 Ontario 25 217 20 264 17 731 22 684 90 0 10 809 5 421 47 7 Manitoba 8 445 6 592 6 297 8 150 96 5 3 714 2 554 45 6 Saskatchewan 9 034 5 743 5 209 8 500 94 1 3 727 2 272 43 8 Alberta 9 172 7 310 6 760 8 622 94 0 4 367 2 487 50 6 British Columbia 17 820 14 090 13 094 16 824 94 4 8 452 4 188 50 2 All Provinces 120 650 90 721 81 884 111 813 92 7 51 277 29 031 45 9 Response rates are given for the provincial component of the Canada Survey of Giving Volunteering and Participating CSGVP in the following table A respondent is defined as a sampled person who completed the 15 questions in the Formal Volunteering FV module of the questionnaire that determine whether or not the person was a volunteer
82. vision Canada Survey of Giving Volunteering and Participating 2004 User Guide 5 4 Sample size by province The following table shows the number of telephone numbers generated for the provincial component of the 2004 CSGVP as well as the number of respondents before and after sub sampling of non volunteers Number of Number of Number of responses before responses after Province telephone numbers sub sampling sub sampling generated non volunteers non volunteers Newfoundland and Labrador 9 003 1 990 1 407 Prince Edward Island 5 803 1 314 936 Nova Scotia 8 619 2 182 1 612 New Brunswick 9 623 2 113 1 510 Quebec 17 914 4 510 2 948 Ontario 25 217 5 421 4 071 Manitoba 8 445 2 554 1 834 Saskatchewan 9 034 2 272 1 688 Alberta 9 172 2 487 1 807 British Columbia 17 820 4 188 3 019 All Provinces 120 650 29 031 20 832 Special Surveys Division 17 Canada Survey of Giving Volunteering and Participating 2004 User Guide 6 0 Survey methodology for the territorial northern component In the three territories the Canada Survey of Giving Volunteering and Participating CSGVP was administered between August 30 2004 and November 15 2004 to a sub sample of dwellings taken from three months of the Labour Force Survey LFS sample combined The sample design of the CSGVP in the territories is therefore closely tied to that of the LFS The CSGVP was not collected as a true

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