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Microdata User Guide

1. The weights were adjusted as follows within each stratum A y w for household respondents y w for household non respondents W W a i gt 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 We Ws number of household members aged 15 orover 8 Adjustment for person level non response The weights were then inflated to compensate for non responding persons This adjustment was done within non response groups built using a logistic regression model Subsequently non responding persons were dropped leaving 16 833 records The weights were adjusted as follows within each stratum age group and sex X w for person respondents w for person non respondents W We gt 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 gt w for selected non volunteers Weighted sub sampling rate gt w for selected non volunteers gt w for non selected non volunteers The in
2. Ro unding guidelinaes mr ttt hee eae ete leiser 33 10 2 Sample weighting guidelines for tabulation sse 33 10 3 Definitions of types of estimates categorical and quantitative 34 10 3 1 Categorical estimates ssssssssssssssesseeeneeeeneeeennn 34 10 3 2 Quantitative estimates sssssssssssssssseeseeeeee nennen 34 10 3 3 Tabulation of categorical estimates 35 10 3 4 Tabulation of quantitative estimates ursserseennnnnnnnnnnnnnnnnnnnennnn 35 10 4 Guidelines for statistical analysis rnsnnnnnnnnnnnnennnnnnsnennennnnnnnnnn nn 35 10 5 Coefficient of variation release guidelines ssssssssssssee 36 10 6 Release cut offs for the Canada Survey of Giving Volunteering and Participating 38 Variance estimation for master and share files eesseeeeeseseeseeeeeeneeeeeen enne 39 Variance estimation for public use microdata files u2222220000000000n00000nn0nnnnnnnnn nn nnnnnn 41 12 1 Howto use the coefficient of variation tables for categorical estimates 42 12 1 1 Examples of using the coefficient of variation tables for categorical estimates 43 12 2 How to use the coefficient of variation tables to obtain confidence limits 47 12 2 1 Example of using the coefficient of variation tables to obtain confidence lim
3. 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 12 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 X be sample estimates for two characteristics of interest Let the standard error on the difference X X be Os Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 User Guide X If is between 2 and 2 then no conclusion about the difference between the O d characteristics is justified at the 5 level of significance If however this ratio is smaller than 2 or larger than 2 the observed difference is significant at the 0 05 level That is to say that the difference between the estimates is significant 723 1 Example of using the coefficient of variation tables to do a t test Let us suppose that the user wishes to test at 5 level of signifi
4. 125 5 88 7 72 4 62 7 56 1 51 2 47 4 44 4 41 8 39 7 37 8 36 2 1 3 EEEE EEE EE EIEEE E EEEE EEE EE EEE EE EEE EE KIRKE EEEE EEE EE EIEEE E EEEE EEE E EEEE EE KT E E EE EE E EEE E EEE E 50 0 114 5 81 0 66 1 57 3 51 2 46 8 43 3 40 5 38 2 36 2 34 5 33 1 6 6 6 1 5 7 5 4 5 1 4 2 3 6 3 0 2 6 2 1 1 8 1 6 1 5 1 4 1 3 1 2 1 1 1 0 70 0 88 7 62 7 51 2 44 4 39 7 36 2 33 5 31 4 29 6 28 1 26 7 25 6 0 7 KIKI kek RIKKI ekek RARA RARAS IK IK IR KID ekeke kkk kki kek kkk kkk kd NOTE FOR CORRECT USAGE OF THESE TABLES PLEASE REFER TO MICRODATA DOCUMENTATION 90 0 51 2 36 2 29 6 25 6 22 9 20 9 19 4 18 1 17 1 16 2 15 4 14 8 44 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 6 of men who volunteered did some teaching educating or mentoring How does the user determine the coefficient of variation of this estimate 1 2 Refer to the coefficient of variation table for CANADA 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 6 and the numerator portion of the percentage 1 605 006 in determining the coefficient of variation The numerator 1 605 006 does not appear in the left hand column the Numerator of Percentage col
5. 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 2007 North American Industry Classification System and occupation 2006 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 For the following six questions on the CSGVP questionnaire the text in the Other specify write in category was examin
6. dropped since these would have been already adjusted for in the LFS subweight which is used as CSGVP s initial weight 3 Weight share adjustment to subweight totals An adjustment was made to the weights in order to make the subweight totals on the CSGVP sample file match to subweight totals on the LFS tabs file This was done because there were missing units on the CSGVP sample file that did not match to the LFS tabs file and vice versa and the total number of households should remain consistent with LFS totals The adjustment is done within month stratum and type as follows 2 w subweight 2 within month stratum and type Wi sample 4 Adjustment of subweights for not sampling birth rotation In the LFS sample there are eight rotations In the CSGVP the sample was drawn from seven of the eight rotations it excludes the birth rotation Thus the subweights are adjusted to account for the fact that we did not sample from the birth rotation by multiplying each subweight by 8 7 w w 3 2 7 5 Adjustment of subweights for sampling from three months Since each month on the tabs file adds up to approximately the total number of households in the population an adjustment needs to be made because the CSGVP samples from three months The adjustment is made by dividing each weight by 3 as follows x w W 3 6 Adjustment of weights for non response The CSGVP sample can be considered as being comprised of
7. pay on behalf of a group or an organization This includes any 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 IY 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 _ _ _ _ hours Q What was the amount of the donation to this organization R _ _ _ _ _ dollars Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 User Guide 10 3 3 Tabulation of categorical estimates Estimates of the number of people with a
8. simple estimates including the production of ordinary statistical tables 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 Canada Survey of Giving Volunteering and Participating 2010 User Guide 34 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 70 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 70 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 and the 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
9. to 33 3 Estimates should be flagged with the letter E or some similar identifier They should be accompanied by a warning to caution subsequent users about the high levels of error associated with the estimates 3 Unacceptable Estimates have a sample size of less than 30 or very high coefficients of variation in excess of 33 3 Statistics Canada recommends not to release estimates of unacceptable quality However if the user chooses to do so then estimates should be flagged with the letter F or some similar identifier and the following warning should accompany the estimates Please be warned that these estimates flagged with the letter F do not meet Statistics Canada s quality standards Conclusions based on these data will be unreliable and most likely invalid Special Surveys Division 37 Canada Survey of Giving Volunteering and Participating 2010 User Guide 38 70 6 Helease 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 12 0 For example the table shows that the quality of a weighted estimate of 10 000 people possessing a given characteristic in Newfoundland an
10. 117 457 91 83 4 Nunavut 835 137 543 155 77 8 Total Territories 2 289 433 1 423 433 76 7 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 Special Surveys Division 29 Canada Survey of Giving Volunteering and Participating 2010 User Guide 30 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 c
11. Ale 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 2010 CSGVP e The fourth character of the variable name refers to the variable type variable Imputation flag Position Variable 4 type Collected variable C Coded variable Derived D F Flag variable 5 Special Surveys Division Description A variable that appeared directly on the questionnaire A variable coded from one or more collected variables e g National Occupational Classification Statistics A variable calculated from one or more collected or coded variables usually calculated during head office processing e g total hours volunteered A variable calculated from one or more collected variables like a derived variable but usually calculated by the computer application for later use during the interview e g volunteer flag Collected coded suppressed or derived variables collapsed into groups e g age groups A flag indicating whether a particular variable has been imputed not present on the Public Use Master File 61 Canada Survey of Giving Volunteering and Participating 2010 User Guide 62 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
12. Division 35 Canada Survey of Giving Volunteering and Participating 2010 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 qua
13. Giving Volunteering and Participating 2010 User Guide 5 0 Survey methodology for the provincial component In the 10 provinces the 2010 Canada Survey of Giving Volunteering and Participating CSGVP was administered between September 14 and December 10 2010 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 2010 approximately 1696 of households in the 10 provinces had no land line telephone 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 52 Sample design The sample design is a stratified simple random sample of telephone numbers The sample design is sometimes referred to as a Random Digit Dialing survey 52 1 Stratification The sample for the provincial component of CSGVP is based on a stratified design employing
14. Nunavut the calibration also included a control total for the Inuit population aged 15 and over The control totals used were for the October 2010 reference month This calibration step was performed merely as a temporary adjustment before identifying outliers Once outliers were identified this calibration step was ignored 9 Identification and treatment of outliers The treatment of outliers is a process which diminishes the impact of outlying weighted values Outliers were identified for four variables the total hours volunteered VD1DHRS the total amount of donations GS1DATOT total household income IN1_03 and total personal income IN1_04 Once the outliers were identified their impact on the total estimates was diminished by reducing the weight w from Step 7 or changing their value using a winsorization technique Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 User Guide The weight of the outlier was reduced such that the adjusted weighted value of the outlier was more in line with the non outlier distribution The resulting weight from this step was w 10 Calibration to known population totals The calibration at this step was performed in the same manner as in Step 8 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 9 after adjusting for outliers After the calibr
15. RE EEE IK e kekk eke eke ekkki eke kekk kkk kd 6000 e e e e e RE e e e e e e eked eke eke e e eked RIK ke ekek kek ekke kek kk KD AKIRA kk kd 7000 e e e e e e RE e e e e e e e e kA e ke e e e e H e kd e ke e e e e e eke e e e ke e KIRK He e e H e IK IRS 8000 heeeeeeeeeeeee nn KRETA 9000 EEEE EEEE RE EE EEE EE EEE RARA ARS RARA RAS 10000 KAKI EEE EE EIEEE EEE EE EEE EE EEE EE EEE EE EE EE E EEE EE EE EEEE 12500 EEEE EEE EE EIEEE EEE EE EEE EEEE EEE EEE EE EE EE E EEE AAA 15000 KAKI EEE EE EIEEE EEE EE EEE EE EEE KART E E EE EEE EEE EE EE EE 20000 EEEE EEEE E EIEEE EEE EE EEE EEEE EEE EEE EE EE EE E EEE EE EE EEE 20 0 144 9 102 4 83 6 72 4 64 8 59 1 54 8 51 2 48 3 45 8 43 7 41 8 2 0 kkk kkk kkka kk kkk kk kki kkk kkk kkka kk kkk kk kki kkk kkk kkka kk kkk kk kki kkk kkk kkka kk kk kkk kki kkk kkk kkka kk kkk kk kki kkk kkk kkk kk kk kkk kki 25 0 140 3 99 2 81 0 70 1 62 7 57 3 53 0 49 6 46 8 44 4 42 3 40 5 8 1 7 5 7 0 6 6 6 3 5 1 4 4 3 6 3 1 2 6 2 2 2 0 1 8 kkk kkk kkk 30 0 135 5 95 8 78 2 67 8 60 6 55 3 51 2 47 9 45 2 42 9 40 9 39 1 7 8 7 2 6 8 6 4 6 1 4 9 4 3 3 5 3 0 2 5 2 1 1 9 1 7 1 6 kkk kk kkk kkk kkk kkk HR KIKI KKRD KKK IRE HR KIKI RI KD KIKI R KIKI KIKI RRR KT 35 0 130 6 92 3 75 4 65 3 58 4 53 3 49 4 46 2 43 5 41 3 39 4 37 7 7 5 7 0 6 5 6 2 5 8 4 8 4 1 3 4 2 9 2 4 2 1 1 8 1 7 1 6 1 5 1 4 40 0
16. 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 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 Statistics 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 25 call attempts per case identified as a
17. be rounded themselves to the nearest 100 units using normal rounding 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 70 2 Sample weighting guidelines for tabulation The sample design used for the Canada Survey of Giving Volunteering and Participating CSGVP was not self weighting Users must apply the proper survey weight when producing
18. 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 proportion or percentage is the same as the CV of the numerator of the proportion or percentage In this case Rule 1 can be used When the proportion or percentage is based upon a subset of the total population e g those in a 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 Rule 3 Estimates of differences between aggregates or percentages The standard error of a difference between two estimates is approximately equal to the square root of the sum of squares of each standard error considered separately That is the standard error of a difference d X x is Via La Y oj X a X525 where is est
19. field in order to prevent respondent burden leaving 57 957 phone numbers for data collection However these 35 cases were not dropped in the weighting process until after the first household non response adjustment This is due to the fact that these are in scope units and should not be treated in the same way that out of scope or unresolved units are However since the 35 phone numbers were not sent to the field they should not enter into the response rate calculation Thus the numbers in this section will not match exactly with the numbers reported in Chapter 9 0 Each of the remaining 57 957 records sent to collection 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 Special Surveys Division 51 Canada Survey of Giving Volunteering and Participating 2010 User Guide 52 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 7 416 unresolved records were dropped leaving 50 576 records The wei
20. 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 to 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 In 2010 a few questions were added to address specific situations that occurred in 2010 First two questions were added to determine the portion of reported volunteer hours that was associated with the 2010 Olympics Another three questions were added to ensure that respondent s included their donations towards natural disaster relief efforts such as those affected in Haiti or Chile These questions were qualitatively tested in the Ottawa area in the spring of 2010 Apart from these questions since both the survey design and majority of the questionnaire content for the 2010 CSGVP were virtually the same as the 2004 and 2007 CSGVP external qualitative testing was not undertaken during this survey cycle The types of questions included in the CSGVP are divided int
21. 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 A Sm for households with number of lines Y w for households missing number of e W W ow for households with number of lines A total of 20 921 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 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 us of in scope telephone lines in the xul 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 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 User Guide stratum to compensate for non responding households Non responding households were dropped at this step leaving 19 862 records
22. in the sample The variation among the B possible estimates based on the B bootstrap weights are related to the variance of the estimator based on the regular weights and can be used to estimate it For the CSGVP a set of 250 mean bootstrap weights was prepared Using these weights to estimate the variance is recommended over the approximate variance estimation methods discussed in the next chapter Statistical packages for variance estimation Bootvar Users should note that bootstrap weights are provided and should be used for variance estimation BOOTVAR is a macro program that can be used to do the variance calculation using the bootstrap weights The Bootvar program is available in SAS or SPSS format It is made up of macros that compute variances for totals ratios differences between ratios and for linear and logistic regression Bootvar may be downloaded from Statistics Canada s Research Data Centre RDC website Users must accept the Bootvar Click Wrap Licence before they can read the files There is a document on the site explaining how to adapt the system to meet users needs SAS http www statcan gc ca rdc cdr bootvar_sas eng htm SPSS http www statcan gc ca rdc cdr bootvar_spss eng htm For the CSGVP the Bootvar parameters B 250 and R 20 must be used since there are 250 bootstrap weights based on a mean of 20 observations Other packages Other than Bootvar there are different commercial software packages that can carry o
23. 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 2010 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 the 2007 North American Industry Classification System NAICS For occupation the 2006 National Occupation Classification Statistics NOC S has been used Informal volunteer The CSGVP defines an informal volunteer or a direct helper as a person who helped someone on
24. 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 Special Surveys Division 47 Canada Survey of Giving Volunteering and Participating 2010 User Guide 48 of variation of the estimate X and then using the following formula to convert to a confidence interval CI CI ia X 1Xa where is the determined coefficient of variation of X and t 1 if a 68 confidence interval is desired t 1 6 if a 90 confidence interval is desired t 2 if a 95 confidence interval is desired t 2 6 if a 99 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 722 1 Example of using the coefficient of variation tables to obtain confidence limits A 9596 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 m a 3 5 0 035 expressed as a proportion is the coefficient of variation of this estimate as determined from the tables CI
25. 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 12 1 1 Examples of using the coefficient of variation tables for categorical estimates The following examples based on the 2004 Canada Survey of Giving Volunteering and Participating Master File are included to assist users in applying the foregoing rules Please note that the data for these examples are different than the results obtained from the current survey and are only to be used as a guide 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 period 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 Sothe approximate coefficient of variation of the estimate is 1 896 The finding that there were 5 615 215 to be rounded according to the rounding guidelines in Section 10 1 m
26. 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 chance 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 57 957 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 older 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 6896 and only the sub sample continued through the remaining relevant sections of the questionnaire this rate varied by province in 2010 to better reflect the varying volunteer rates seen across the provinces At the time the sample file was created a flag was included
27. performed by comparing the files at the current and previous step 923 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 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 amount 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 item non response or partial non response record also
28. probability sampling 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 522 Sample allocation To cut costs the sample size was decreased in 2010 to approximately two thirds of the 2007 sample size Even so the allocation of this smaller sample was driven by the same general criteria used in the 2007 sample design namely 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 and 3 national cross sectional estimates for immigrants It was determined that approximately 16 800 responses would be required to meet these objectives A Kish allocation alpha 0 2 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 5596 was assumed thus a sample size of approximately 30 500 would be required to obtain the 16 800 responses With an RDD design it is necessary to take into account that not all telephone numbers R
29. 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 22 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 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
30. 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 the PUMF e total amount of donations for the 15 organization types GS1DAXO01 to GS1DAX15 on the master file GS1GAX01 to GS1GAX15 on the PUMF and e total amount of donations by solicitation method FG1DA03 to FG1DA15 on the master file FG1GA03 to FG1GA14 on the PUMF Derived variables for donations were derived from the Giving GS file and placed on the MAIN file see Chapter 14
31. the outliers were identified their impact on the total estimates was diminished by reducing the weight w from Step 10 or by reducing the value of outliers using a winsorization technique The weight or value of the outlier was reduced such that the adjusted weighted value of the outlier was more in line with the non outlier distribution The resulting weight from this step was w 12 Adjustment of charitable donation quartiles After producing the Master file person weights and comparing the weighted estimates to other available data sources it was decided that an adjustment should be applied as a proxy for the personal income adjustment that was done for 2007 The variable for personal income was not collected for 2010 so an adjustment was done based on matching the weighted population of 2010 to 2007 total charitable donations quartiles First the 2007 file was used to define boundaries in the charitable donations such that one quarter of the 2007 weighted population fit into each category Next those boundaries were adjusted by the consumer price index between 2007 and 2010 Finally the weights of the records in the corresponding categories in 2010 were adjusted so that again each category contained one quarter of the weighted population The weight resulting from this step was w 13 Calibration to known population totals The calibration at this step was performed in the same manner as in Step 11 the only difference being the we
32. 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 nternational Classification of Nonprofit Organizations ICNPO 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 Arts and culture includes organizations and activities in general and specialized fields of arts and culture including m
33. 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 2010 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 2 sample of the population each person in the sample represents 50 persons in the population The weighting phase is a step which calculates for each record what this number is This weight appears on the microdata file and must be used to derive meaningful estimates from the survey For example if the number of 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 that characteristic and summing the weights entered on those records Details of the method used to calculate these weights are presented in Chapter 13 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 t
34. 13 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 anadjustment for sub sampling non volunteers e an adjustment for outliers e an adjustment of provincial charitable donation quartiles replacing the previous cycle s personal income adjustment 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 ES number of possible telephone numbers from working banks w number of sampled telephone numbers There were 83 778 phone numbers selected in the sample 2 Adjustment for unresolved telephone numbers Before data collection the 83 778 phone numbers underwent a screening process leaving 57 992 telephone numbers Of these 57 992 phone numbers 35 were LFS respondents and were dropped before entering the
35. Microdata User Guide Canada Survey of Giving Volunteering and Participating 2010 Lid We ese puis Canada Canada Survey of Giving Volunteering and Participating 2010 User Guide Table of Contents 1 0 nier METER 5 2 0 Background rr 7 3 0 Objectives c M 9 4 0 Concepts and definitions eeeesessssseseseseeeeeeee nennt eee 11 5 0 Survey methodology for the provincial component 15 5 1 Populationcoverage nei nte iret riget ot E e Uie mente 15 5 2 Sample desiON 1 ern ee tree a Rr EP D Ee D EGRE Hd dera Re 15 5 2 1 Stratification nienie tete Pr p i Pe ELO EE aate 15 5 2 2 Sample allocation Er S nt eee ter teria ee B 15 5 3 Sambple selection oen hte ise rita epe m a MG Pepe Ua DR 16 5 4 Sample size by provinGe nitet ea tn tet e tad ue 17 6 0 Survey methodology for the territorial northern component eese 19 6 1 Population coverages eini nennen 19 6 2 Sample desig erate cave anne Ri 19 6 2 1 Sample rotation neradai A nes 19 6 2 2 Modifications to the Labour Force Survey design in the territories for the Canada Survey of Giving Volunteering and Participating 19 6 3 SAMPIOSIZO wii hee EE 20 7 0 Data Coll CCHOM MEE 21 7 1 Questionnaire design itte ta e e casey se ER nung A tues 21 7 2 Supervision and quality control sssssssssseseeeeeenenen nns 21 7 9 D
36. Quebec 14 210 11 338 10 077 12 949 91 1 5 495 3 480 Ontario 18 658 13 942 12 406 17 122 91 8 5 819 3 227 Manitoba 4 947 2 952 2 521 4 516 91 3 1 637 1 137 Saskatchewan 4 295 3 127 2 615 3 783 88 1 1 456 966 Alberta 5 826 4 026 3 447 5 247 90 1 1 987 1 318 British Columbia 11 307 7 150 6 256 10 413 92 1 3 561 2 366 Total Provinces 83 778 57 957 50 541 76 362 91 1 26 745 16 833 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 For Random Digit Dialling RDD methodology a new method to calculate response rate was developed during the 2007 cycle of the survey so that continuing iterations of the survey would be comparable to 2004 survey data Hence for comparison purposes the 2010 response rate was calculated using the old method same calculation as in 2004 in addition to the new method The old response rate is defined as the number of sampled persons who completed at least this minimum requirement divided by the number of confirmed residential telephone numbers those that have been resolved Special Surveys Division 27 Canada Survey of Giving Volunteering and Participating 2010 User Guide 28 number of respo
37. Statistics Canada recommends not releasing such an estimate regardless of the value of the coefficient of variation Special Surveys Division 41 Canada Survey of Giving Volunteering and Participating 2010 User Guide 12 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 differences 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 Rule 2 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
38. aken 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 Some of the general features of the PUMF for the 2010 CSGVP include The survey master file includes geographic identifiers that are generally more explicit than the PUMF e g census metropolitan areas and population centres The PUMF provides data only at the provincial level The master file also includes some demographic variables which are excluded from the PUMF These include ancestral ethnicity and immigration status The survey master file includes certain detailed information which is included on the PUMF only in grouped form These include e precise age of respondent e number of children aged 0 to 5 in the household 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 NAICS which has been collapsed to an 18 category grouping e country of birth which has been grouped to Canada and Outside Canada As well for certain variables that are susceptible
39. ale volunteers during the reference period is publishable with no qualifications Special Surveys Division 43 Canada Survey of Giving Volunteering and Participating 2010 User Guide NUMERATOR OF PERCENTAGE 000 0 196 1 1619 2 1145 3 93 5 4 809 5 724 6 661 7 612 8 572 9 54 0 10 512 11 48 8 12 467 Canada Survey of Giving Volunteering and Participating 2004 Master File Approximate Sampling Variability Tables for Canada including the Territories 1 0 161 1 113 9 93 0 80 6 72 1 65 8 60 9 57 0 53 7 51 0 48 6 46 5 300 KAKI IR HRD kkk kk kk kki 350 KARTE 400 res een 450 KR KKK HRD kkk kk kk kki 500 RER kkk kk kk kki 2 0 160 3 113 4 92 6 80 2 71 7 65 5 60 6 56 7 53 4 50 7 48 3 46 3 7 2 750 kk kkk kkk ARE eke kkk kk kk d 1000 eeemeceeeeeeeeeceeeeenene ESTIMATED PERCENTAGE 5 0 10 0 15 0 157 9 1536 1 111 6 1086 1 91 1 88 7 78 9 76 8 70 6 68 7 64 4 62 7 59 7 58 1 55 8 54 3 52 6 51 2 49 9 48 6 47 6 46 3 45 6 44 4 9 1 8 9 8 4 8 2 7 9 7 7 7 4 7 2 7 1 6 9 5 8 5 6 5 0 4 9 1500 KARRIERE I KA RARA KERERRERED 4 0 2000 ESS EEEE E EIEEE EEEE EEEIEE EEEE EE EEE EEEE E E EE 3 4 3000 KEEKEKE RT KEKKKKEKED RARA RAS KARKR KARKI K KK K K K K K I 49 3 05 6 86 2 74 7 66 8 61 0 56 4 52 8 49 8 47 2 45 0 43 1 8 6 8 0 7 5 7 0 6 7 5 5 4 7 3 9 3 3 2 7 4000 eeemeeeeeeeee KAA KIKI kk KID ek kk kkk kk AAA RARA 5000 KAKI e
40. ariation 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 95 of the samples the interval will cover the true population value Using the standard error of an estimate confidence intervals for estimates may be obtained under the assumption that under repeated sampling of the population the various estimates obtained for a population characteristic are normally distributed about the true population value Under this assumption the chances are about 68 out of 100 that the difference between a sample estimate and the true population value would be less than one standard error about 95 out of 100 that the difference would be less than two standard errors and about 99 out 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 intervals for an estimate X are generally expressed as two numbers one below the estimate and one above the estimate as X k X k where
41. ata collection methodology sssseeeennnn enne 21 7 8 1 Provincial component aissi na a a aai 21 7 8 2 Territorial component ssssssseeeeeeeenen emen rennen 22 7 4 Non resporise eee ee entente evite de enit vtuntur gn euge 22 8 0 Data process inicia A de 23 8 1 Data captures ask fidi reati ha evertit etn armer 23 8 2 pM 23 8 3 Coding of open ended questions 23 8 4 Imp tation uoo teint ait Lie raris aan ler ri Pag 24 8 5 Creation of derived variables 24 8 6 Weighting isian ec eo US D BRUT HERR FUE UD ARE eruit levies a 25 8 7 Suppression of confidential information sssssssssseeeeenes 25 9 0 Data quality arrei A E 27 9 1 Response rat s iian e aneia dba dai 27 9 1 1 Response to the provincial component ssssseeeeeeee 27 9 1 2 Response to the territorial component sese 29 9 2 SUV Oy error iii ii FOE Rae Ere tat lt ante HE eee 29 9 2 1 Data collection ee iei aa 30 9 222 Data processing ia 30 9 2 3 Non response and imputation sessssseeeeeeemennn 30 9 2 4 Measurement of sampling error sssssssseeme em 32 Special Surveys Division 3 Canada Survey of Giving Volunteering and Participating 2010 User Guide 10 0 11 0 12 0 13 0 14 0 15 0 Guidelines for tabulation analysis and release uunusnnnunnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnenn 33 10 1
42. ation 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 57 Canada Survey of Giving Volunteering and Participating 2010 User Guide 14 0 Structure of the files There are two data files for the 2010 Canada Survey of Giving Volunteering and Participating 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 13 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 amoun
43. awa Ontario K1A 0T6 Telephone 613 951 3321 or call toll free 1 800 461 9050 Fax 613 951 4527 E mail ssd statcan gc ca Special Surveys Division 5 Canada Survey of Giving Volunteering and Participating 2010 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 and Skills 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 VSI In 2001 the federal 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 V
44. cal practice calls for researchers to provide users with some indication of the magnitude of this sampling error This section of the documentation outlines the measures of sampling error which Statistics Canada commonly uses and which it urges users producing estimates from this microdata file to use also The basis for measuring the potential size of sampling errors is the standard error of the estimates derived from survey results However because of the large variety of estimates that can be produced from a survey the standard error of an estimate is usually expressed relative to the estimate to which it pertains This resulting measure known as the coefficient of variation 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 2004 CSGVP 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 22 0 548 x 100 2 2 There is more information on the calculation of coefficients of variation in Chapters 11 0 and 12 0 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 User Guide 10 0 Guidelines for tabulation analysis and release This chapter of the documentation o
45. 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 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 User Guide 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 Due to an application error the personal income variable was not collected for this cycle nor was it imputed 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 include
46. cance 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 0 015 Hence X X 0320 0286 0 034 _ 0 0 014 0 014 t 2 43 Since f 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 12 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 and culture organizations Hence if the coefficient
47. certain characteristic can be obtained from the microdata file by summing the final weights of all records possessing the characteristic s of interest Proportions and ratios of the form X I 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 70 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 XJIY 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 by summing the final weights of all re
48. come 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 organizations 12 International includes organizations promoting cultural understanding between peoples of var
49. cords with DH1GAGE 6 then C divide estimate a by estimate b X Y 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
50. d Labrador is marginal Note that these cut 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 12 1 and Example 4 in Section 12 1 1 explain the correct procedure to be used for ratios Province Temtoriee Amen reiner re Newfoundland and Labrador 20 000 over 5 000 to 20 000 under 5 000 Prince Edward Island 5 500 amp over 1 500 to lt 5 500 under 1 500 Nova Scotia 39 000 amp over 10 000 to 39 000 under 10 000 New Brunswick 40 000 amp over 10 000 to lt 40 000 under 10 000 Quebec 170 000 amp over 41 000 to lt 170 000 under 41 000 Ontario 240 000 amp over 60 000 to lt 240 000 under 60 000 Manitoba 48 000 amp over 12 000 to lt 48 000 under 12 000 Saskatchewan 45 000 amp over 12 000 to lt 45 000 under 12 000 Alberta 130 000 amp over 33 000 to lt 130 000 under 33 000 British Columbia 100 000 amp over 26 000 to lt 100 000 under 26 000 Provinces 170 000 amp over 42 000 to lt 170 000 under 42 000 Territories 3 500 amp over 1 000 to lt 3 500 under 1 000 Canada 170 000 amp over 42 000 to lt 170 000 under 42 000 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 User Guide 11 0 Variance estimation for master and share files In order to determine the q
51. d 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 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 46 of the cases where the household income value was imputed the respondent had reported an income range This is comparable to the 2007 survey when the rate was 44 Number and percentage of records imputed for s
52. ed at head office and where possible coded into an existing category Special Surveys Division 23 Canada Survey of Giving Volunteering and Participating 2010 User Guide 24 e FV_Q16 other volunteer activities FG_Q15 other methods in which donations were made to a charitable or non profit organization SK QO07 acquired skills SD_Q01 religion SD_Q03 country of birth and SD Q06 ancestral ethnicity amp 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 provide the minimum set of answers These records are dropped and accounted for in the weighting process see Chapter 13 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
53. ed non respondents in adjustment NR res group g Ya equals the sum of the initial weights of all unresolved non respondents in adjustment NR unres group g ous equals the sum of the initial weights of all out of scope units in adjustment group g oos 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 approximately less than two If these conditions did not hold strata were combined for adjustment purposes There were four strata were the sample size warranted a collapsing of strata 7 Adjustment for sampling one person per household The weight calculated in Step 6 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 maximum of five household members aged 15 and over was placed on this adjustment There were 19 cases where the number of persons in the household aged 15 or older was greater than five We Ws number of household members aged 15or older 8 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
54. edia 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 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 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 2010 User Guide specific medical conditions e g Heart and Stroke Foundation of Canada Canadian Cancer Society are included under category 5 Health 4 Universities and col
55. elected variables Variable e Total records imputed Household income 6 077 15 482 39 3 Hours for organization 1 297 15 482 1 9 Hours for organization 2 170 15 482 1 1 Hours for organization 3 137 15 482 0 9 Donations to organizations 1 to 10 11 001 59 032 18 6 Donations to organizations 11 3 601 59 032 6 1 The following table shows the resulting impact on the actual estimates Special Surveys Division 31 Canada Survey of Giving Volunteering and Participating 2010 User Guide Percentage of estimate originating from imputed values Variable TP a es 96 imputed Household income 922 872 2 339 139 39 5 Hours for organization 1 61 5 1 623 9 3 8 Hours for organization 2 12 2 326 4 3 7 Hours for organization 3 4 1 117 7 3 5 Amount of total donations 5 056 1 11 863 9 42 6 Number of donors 1 1 23 4 4 5 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 statisti
56. esidential Telephone Services Survey Statistics Canada 2010 In 2007 a power allocation power 0 2 was used Special Surveys Division 15 Canada Survey of Giving Volunteering and Participating 2010 User Guide will be valid residential numbers An RDD sample will include a significant number of business and non working numbers In addition during the data collection process there will inevitably be some numbers which will not be able to be resolved as being a business or a 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 GSS The resulting sample size was 83 778 telephone numbers 53 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
57. four groups 1 respondents units determined to be out of scope non respondents resolved to be in scope and non respondents whose in scope out of scope status is unresolved BB 0 I Each of the sample units in the territorial component were assigned a status defined by these four groups based on the outcome code of the collection application Since the final weights of the 2 289 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 Special Surveys Division 55 Canada Survey of Giving Volunteering and Participating 2010 User Guide 56 Wag Win We 2s DW T 2 Wasi T Y Wag Resp NR res Resp NR res NR unres 2 Poma T me T Wag Resp Resp NR res where g represents the level at which the adjustment is performed w equals the initial weight of unit i in adjustment group g War equals the sum of the initial weights of all respondents in adjustment group g Resp win equals the sum of the initial weights of all resolv
58. g of the non volunteers All non volunteers were asked to complete all relevant sections of the questionnaire Special Surveys Division 19 Canada Survey of Giving Volunteering and Participating 2010 User Guide 20 6 3 Sample size The sample consisted of the non birth rotation groups of the July August September quarterly sample of the LFS The initial sample size was 2 289 The following table gives the breakdown by territory Initial Number of Territory sample size respondents Nunavut 835 543 Northwest Territories 665 457 Yukon 789 423 Total territories 2 289 1 423 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 User Guide 7 0 Data collection 7 1 Questionnaire design The 2010 Canada Survey of Giving Volunteering and Participating CSGVP measured giving volunteering and participating in the same way as in 2007 It extended the methods used in 2004 in order to generate a repeated time series and replaced the way these behaviours were measured in the 1997 and 2000 National Survey of Giving Volunteering and Participating Experiences gained from the 2004 CSGVP suggested that a number of small adjustments were required relating to the questionnaire content In preparation for the 2004 CSGVP extensive consultations were held with key federal provincial and territorial government representatives as well as representatives
59. ghts were adjusted as follows within each stratum and initial status BESSERE gt w for resolved telephone numbers gt w for unresolved telephone numbers gt 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 26 745 records remained at this point 4 Adjustment for missing number of telephone lines first household level non response adjustment In order 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 including the 35 cases that were on the LFS sample 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
60. ights input into the calibration process The input to this calibration was the set of weights w output from Step 12 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 13 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 the territorial component of the CSGVP was selected from the Labour Force Survey LFS sample the initial weight w was calculated based on the subweight from the Labour Force Survey tabs file The subweight is the initial design weight adjusted for out of scope units and non responding units on the LFS Subweights are unique for each month province and stratum combination so a subweight could be attributed to each unit in the CSGVP sample Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 User Guide 2 Dropping out of scope units Some units that were on the CSGVP sample file did not match to the LFS tabs file so the outcome respondents out of scope non respondent unresolved of these non matching units was determined based on outcome codes Units resolved as out of scope for CSGVP were
61. imate 1 X is estimate 2 and and are the coefficients of variation of X and x respectively The coefficient of variation of d is 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 2010 User Guide Rule4 Estimates of ratios In the case where the numerator is a subset of the denominator the ratio should be converted to a percentage and Rule 2 applied This would apply for example to the case where the denominator is the number of 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 X is Y 2 2 O Rya a where a and are the coefficients of variation of X and x respectively The coefficient of variation of R is given by ol R The formula will tend to overstate the error if X and x are positively correlated and understate the error if X and X are
62. ious countries and historical backgrounds as well as those providing relief during emergencies and promoting development and welfare abroad 13 Heligion includes organizations promoting religious beliefs and administering religious services and rituals e g churches mosques synagogues temples shrines seminaries monasteries 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 Special Surveys Division 13 Canada Survey of Giving Volunteering and Participating 2010 User Guide The correspondence between the 12 category classification and the 15 category classification is as follows 12 Category ICNPO 15 Category ICNPO a 1 Arts and culture 1 Culture and recreation 2 Sports and recreation 3 Education and research 2 Ed cati n ang research 4 Universities and colleges 5 Health Elo neath 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 8 Philanthropic intermediaries and voluntarism 11 Grant making fundraising and voluntarism promotion 9 Internati
63. its 48 12 3 How to use the coefficient of variation tables to do a t test eee 48 12 3 1 Example of using the coefficient of variation tables to do a t test 49 12 4 Coefficients of variation for quantitative estimates ssssseess 49 12 5 Coefficient of variation tables nenne 49 Mure A 51 13 1 Weighting for the provincial component sseem eee 51 13 2 Weighting for the territorial component ssssssseeeneen 54 Structure of the files eed a Reiten feet da 59 Variable naming conventions urrsorrsonnnonnnonnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnnannn 61 Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 User Guide 1 0 Introduction The Canada Survey of Giving Volunteering and Participating CSGVP is one component of the Voluntary Sector Initiative VSI a collaborative program of the federal government and the voluntary sector The 2010 CSGVP was conducted by Statistics Canada in the provinces and territories from September 14 to December 10 2010 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 Room 2300 Main Building 150 Tunney s Pasture Driveway Ott
64. leges 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 the handicapped and the elderly and self help and other personal social services 2 emergency and relief and 3 in
65. lity is affected by both sampling and non sampling 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 2010 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 0 096 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 6
66. 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 the main volunteer organization MV Main Volunteer Activities section of the questionnaire 1 2010 CSGVP Collected variable 02 Question number from questionnaire A First category in a Mark all that apply type question FV1FVOL Volunteer flag Note A few important variables do not follow the naming convention e g MASTERID PUMFID PROVCODE WTPM and WTPP Special Surveys Division
67. ndents response rate old method number of confirmed residential telephone numbers The old hit rate is defined as the proportion of resolved telephone numbers that were confirmed to be residential telephone numbers number of confirmed residential telephone numbers hit rate old method number of resolved telephone numbers Response rate by province Old Method Province Hit rate 96 Response rate 96 Newfound land and Labrador 29 0 69 0 Prince Edward Island 32 3 68 9 Nova Scotia 33 9 64 2 New Brunswick 27 6 53 6 Quebec 42 4 63 3 Ontario 34 0 55 5 Manitoba 36 2 69 5 Saskatchewan 38 5 66 3 Alberta 37 9 66 3 British Columbia 34 2 66 4 Total Provinces 35 0 62 9 The new response rate used since 2007 is defined as the number of sampled persons who completed at least the minimum requirement divided by the number of estimated residential telephone numbers Estimated residential telephone numbers include all telephone numbers resolved as residential as well as a portion of unresolved telephone numbers that are estimated to be households number of respondents response rate aA Aaa estimated number of residential telephone numbers The new hit rate is defined as the estimated number of residential telephone numbers divided by the number of telephone numbers generated estimated number of residential telephone numbers hit rate number of
68. ndents to Statistics Canada s Labour Force Survey LFS Because of concerns about demands being placed on LFS respondents the provincial component of the 2004 2007 and 2010 CSGVP were conducted as Random Digit Dialling RDD surveys in which respondents were recruited specifically to participate in the CSGVP The 2010 CSGVP continues the method of measuring giving volunteering and participating established by the 2004 and 2007 CSGVP It replaces the way these behaviours were measured in the 1997 and 2000 NSGVP Because of these changes it is not appropriate to compare the results from the 2010 2007 or 2004 CSGVP surveys with the previous NSGVP surveys Special Surveys Division 7 Canada Survey of Giving Volunteering and Participating 2010 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 2010 User Guide 40 Concepts and definitions This chapter outlines concepts and definitions of
69. o 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 modules which can be quickly adapted to most types of surveys A front end module contains a set of standard Special Surveys Division 21 Canada Survey of Giving Volunteering and Participating 2010 User Guide response codes for dealing with all possible call outcomes as well
70. 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 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 12 5 Coefficient of variation tables Refer to CSGVP2010_CVTabsE pdf for the coefficient of variation tables Special Surveys Division 49 Canada Survey of Giving Volunteering and Participating 2010 User Guide 13 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 2010 Canada Survey of Giving Volunteering and Participating CSGVP was conducted as a Random Digit Dialling RDD survey in the 10 provinces 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
71. ollection and processing cycle to monitor the quality of the data These 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 921 Datacollection 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 2007 Canada 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 922 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
72. olunteering 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 2010 survey data were collected in the North Yukon Northwest Territories and Nunavut for the third time where a representative sample of 1 423 respondents aged 15 and older participated in the survey In 2010 the sample size in the 10 provinces was reduced from the 2007 level in an effort to save costs for comparison there were 14 724 respondents in 2000 20 510 respondents in 2007 and 16 833 respondents in 2010 Over the survey program s lifespan the questionnaire has been revised in a number of ways based on experience gained from the earlier survey cycles 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 questions in and out of the survey Over time the survey platform has also changed The NSGVP was administered to a sub sample of respo
73. onal 12 International 10 Religion 13 Religion 11 Business and professional associations unions 14 Business and professional associations unions 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 14 to December 10 2010 The territorial or northern component interviews took place during same time period as the provincial component 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 sports or community associations 14 Special Surveys Division Canada Survey of
74. operation of a farm business or professional practice owned and operated by a related member of the same household Such activities may include keeping books selling products waiting on tables and so on Tasks such as housework or maintenance of the home are not considered unpaid family work Special Surveys Division 11 Canada Survey of Giving Volunteering and Participating 2010 User Guide 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 2010 CSGVP includes mandatory service under the definition of volunteering Organization classification Respondents were asked
75. processing steps involved in producing this file 8 1 Datacapture 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 82 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 questionnaire flow where questions which did not apply to the respondent and should therefore not have been answered were found to contain answers In this case a computer edit automatically eliminated superfluous data by following the flow of the questionnaire implied by answers to previous
76. racteristics 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 2010 Canada Survey of Giving Volunteering and Participating CSGVP Province Territories Design effect Sample size Population Newfoundland and Labrador 1 39 1 067 433 258 Prince Edward Island 1 37 1 083 118 639 Nova Scotia 1 51 1 086 792 337 New Brunswick 1 47 815 636 868 Quebec 1 55 2 209 6 591 090 Ontario 1 52 2 480 10 941 744 Manitoba 1 57 1 137 989 999 Saskatchewan 1 50 966 837 047 Alberta 1 48 1 190 2 989 697 British Columbia 1 51 2 026 3 875 082 Provinces 2 33 14 059 28 205 761 Territories 1 96 1 423 79 676 Canada 2 55 15 482 28 285 437 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 If the number of observations on which an estimate is based is less than 30 the weighted estimate is most likely unacceptable and
77. rial northern component In the three territories the Canada Survey of Giving Volunteering and Participating CSGVP was administered between September 14 and December 10 2010 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 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 e
78. stimates are also calibrated to these coverage totals 62 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 621 Sample rotation The LFS design in the north employs a rotating panel design in which the sample consists of eight panels or rotation 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 622 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 July August and September 2010 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 July August and September 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 samplin
79. t is the standard error of the difference d 0 320 0 286 0 034 is c 0 320 0 030 f 0 286 0 035 0 0000921 0 0001002 0 014 3 The coefficient of variation of d is given by o d 0 014 0 034 0 412 4 Sothe approximate coefficient of variation of the difference between the estimates is 41 296 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 F or some similar identifier and be accompanied by a warning to caution subsequent users about the high levels of error associated with the estimate Special Surveys Division 45 Canada Survey of Giving Volunteering and Participating 2010 User Guide 46 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 on behalf of an organization The denomina
80. t 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 amount of all donations made to the remaining organizations is present on the 10th record as derived variable GS1D08 Special Surveys Division 59 Canada Survey of Giving Volunteering and Participating 2010 User Guide 15 0 Variable naming conventions The 2010 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 an Questionnaire section name nn Questionnaire section name FV Formal Volunteering GS Giving Specifics HV History of Volunteering DG Decisions on Giving VS Volunteer Specifics RG Reasons for Giving VD Volunteer Details NG Reasons for Not Giving more MV Main Volunteer Activities OG Other Giving RV Reasons for Volunteering EA Youth Experiences and Attitudes GV Volunteering in General HG Health in General SK Skills Gained from Volunteering ED Education NV Reasons for Not Volunteering more LF Labour Force Status IV Informal Volunteer Activity SD Socio demographics FG
81. telephone numbers generated The collection hit rate is defined as the estimated number of residential telephone numbers divided by the number of telephone numbers sent to collection f f estimated number of residential telephone numbers collection hit rate number of telephone numbers sent to collection Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 User Guide Response rate and hit rates by province New Method Estimated Province rane LE esr pere numbers Newfound land and Labrador 2 136 30 7 53 0 58 5 Prince Edward Island 1 790 33 2 44 2 60 5 Nova Scotia 1 881 34 6 52 0 57 7 New Brunswick 1 953 28 9 52 5 47 1 Quebec 6 116 43 0 53 9 56 9 Ontario 6 452 34 6 46 3 50 0 Manitoba 1 861 37 6 63 0 61 1 Saskatchewan 1 716 40 0 54 9 56 3 Alberta 2 300 39 5 57 1 57 3 British Columbia 4 029 35 6 56 3 58 7 Total Provinces 30 234 36 1 52 2 55 7 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 number of respondents response rate number of respondents number of non respondents Response rate by territory Territory sample scope Respondents respondents rate Yukon 789 179 423 187 69 3 Northwest Territories 665
82. 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 2010 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 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 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
83. to identifying individuals the PUMF has some data suppressed locally i e some of the values in the master file have been coded as not stated on the PUMF Special Surveys Division 25 Canada Survey of Giving Volunteering and Participating 2010 User Guide 9 0 Dataquality 9 7 Hesponse rates 9 7 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 Telephone resolved rate by province Telephone Telephone Telephone Confirmed Province P PRO numbers numbers Total Resolved residential Respondents eherated sent to resolved resolved rate telephone p 9 collection in the field numbers Kewiounoangang 6 953 4 027 3 319 6 245 89 8 1 812 1 250 Labrador Prince award 5 399 4 052 3 520 4 867 90 1 1 571 1 083 Island Nova Scotia 5430 3 620 3 183 4 993 92 0 1 691 1 086 New Brunswick 6 753 3 723 3 197 6 227 92 2 1 716 920
84. tor 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 3 496 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 Ae a 0 where a and a are the coefficients of variation of X and X respectively That is a 0 034 0 040 40 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 Example 5 Estimates of differences of ratios Suppose that the user estimates 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
85. uality of the estimate and to calculate the coefficient of variation CV the standard deviation must be calculated Confidence intervals also require the standard deviation of the estimate The Canada Survey of Giving Volunteering and Participating CSGVP uses a stratified simple random sample design that is subjected to non response adjustments imputation and calibration which means that there is no simple formula that can be used to calculate variance estimates Therefore an approximate method was needed the bootstrap method With the use of the bootstrap weights and the BOOTVAR program CV s and other variance estimates can be derived with accuracy Bootstrap method for variance estimation Independently in each stratum a simple random sample of n 1 of the n units in the sample is selected with replacement Note that since the selection is with replacement a unit may be chosen more than once This step is repeated R times to form R bootstrap samples An average initial bootstrap weight based on the R samples is calculated for each sample unit in the stratum The entire process selecting simple random samples recalculating weights for each stratum is repeated B times where B is large yielding B different initial bootstrap weights These weights are then adjusted according to the same weighting process as the regular weights non response adjustment calibration and so on The end result is B final mean bootstrap weights for each unit
86. umn so it is necessary to use the figure closest to it namely Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 User Guide 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 6 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 0 and the CV of the estimate for men as 3 5 2 Using Rule 3 the standard error of a difference X x is where X is estimate 1 women is estimate 2 men and and c are the X coefficients of variation of X and X respectively Tha
87. 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 0796 and 5 6696 for ages 55 and over Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 User Guide 2 Using Rule 3 the standard error of a difference d R R is where a 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 a J 1 039Y0 0707 1 169 0 0566 4 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 76 295 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 F or some similar identifier and be accompanied by a warning to caution subsequent users about the high levels of error associated with the estimate 12 2 How to use the coefficient of v
88. ut some design based analysis for variance estimation Stata 9 or 10 SUDAAN and WesVar These methods can be adapted for the CSGVP from a paper by Owen Phillips Using bootstrap weights with Wes Var and SUDAAN Catalogue no 12 002 X20040027032 in The Research Data Centres Information and Technical Bulletin Chronological index Fall 2004 vol 1 no 2 Statistics Canada Catalogue no 12 002 XIE Special Surveys Division 39 Canada Survey of Giving Volunteering and Participating 2010 User Guide 12 0 Variance estimation for public use microdata files In order to supply coefficients 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 cha
89. utlines the guidelines to be adhered to by users tabulating analyzing publishing or otherwise releasing any data derived from the survey microdata files With the aid of these guidelines users of microdata should be able to produce the same figures as those produced by Statistics Canada and at the same time will be able to develop currently unpublished figures in a manner consistent with these established guidelines 70 1 Hounding 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
90. verse of this rate was multiplied by the weights for the selected non volunteers and the non selected non volunteers were dropped For non volunteers the weights were adjusted as follows within each stratum Ww Wo weighted sub sampling For volunteers Ws W The final number of records was 14 059 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 Special Surveys Division 53 Canada Survey of Giving Volunteering and Participating 2010 User Guide 54 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 four variables the total hours volunteered VD1DHRS the total amount of donations GS1DATOT total household income IN1 03 and total personal income IN1 04 Once
91. which was randomly set so that it had a 68 chance of being set to one and a 32 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 In 2007 the rate was 5096 and was constant across all provinces Special Surveys Division Canada Survey of Giving Volunteering and Participating 2010 User Guide 54 Sample size by province The following table shows the number of telephone numbers generated for the provincial component of the 2010 CSGVP as well as the number of respondents before and after sub sampling of non volunteers Province Number of telephone numbers generated Number of responses before sub sampling non volunteers Number of responses after sub sampling non volunteers Newfoundland and Labrador 6 953 1 250 1 067 Prince Edward Island 5 399 1 083 1 083 Nova Scotia 5 430 1 086 1 086 New Brunswick 6 753 920 815 Quebec 14 210 3 480 2 209 Ontario 18 658 3 227 2 480 Manitoba 4 947 1 137 1 137 Saskatchewan 4 295 966 966 Alberta 5 826 1 318 1 190 British Columbia 11 307 2 366 2 026 Total Provinces 83 778 16 833 14 059 Special Surveys Division 17 Canada Survey of Giving Volunteering and Participating 2010 User Guide 6 0 Survey methodology for the territo

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