VIOLENCE AGAINST WOMEN SURVEY Public Use Microdata File Documentation and User's Guide June 1994 Aussi disponible en fran‡ais Violence Against Women Survey Public Use Microdata File Documentation and User's Guide Table of Contents 1. Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 2. Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 3. Objectives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 4. Population . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 5. Survey Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 6. Questionnaire Content . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 7. Collection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 8. Processing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 9. Estimation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 10. Release Guidelines and Data Reliability . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .22 11. File Structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .27 12. Additional Information . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .28 Appendix A. Approximate Variance Tables B. Questionnaire C. Topical Index to Variables D. Data Dictionary E. Record Layout 1. INTRODUCTION This document is designed to enable interested users to access and manipulate the microdata file for the Violence Against Women Survey (VAWS), conducted from February through June, 1993. It contains information on the objectives, methodology and estimation procedures as well as guidelines for releasing estimates based on the survey. This document describes how to correctly use the microdata file. Appendix D contains the data dictionary for the microdata file, the major part of this documentation package. The survey questionnaires are contained in Appendix B, and the variance tables are in Appendix A. 2. BACKGROUND In February, 1991, the federal government announced a 4-year extension of the Family Violence Initiative beginning April, 1991. Six federal government departments were involved - Health Canada, Solicitor General, Justice, Canada Mortgage and Housing Corporation, Indian and Northern Affairs, Secretary of State - to support activities around community action, public education, training, intervention and treatment, research and data collection. Health Canada (the lead department) identified as a priority the collection of national data on violence against women and requested Statistics Canada to develop and administer this survey. 3. OBJECTIVES The objectives of this survey were to provide reliable estimates of the nature and extent of violence against women by male partners, acquaintances and strangers and to examine women's fear of violence in order to support current and future federal government activities. 4. POPULATION The target population for the VAWS was all women 18 years of age and over in Canada, excluding: 1. residents of the Yukon and Northwest Territories; 2. full-time residents of institutions. The survey employed Random Digit Dialling (RDD), a telephone sampling method. Households without telephones were therefore excluded, however, persons living in such households represent less than 2% of the target population. Survey estimates have been adjusted (weighted) to represent persons without telephones. 5. SURVEY DESIGN Data for the VAWS was collected from February to June, 1993. The sample was selected using the Elimination of Non-Working Banks technique of Random Digit Dialling (RDD). A description of this method is provided in Section 5.2. Stratification procedures used in the survey design are outlined in Section 5.1, and Section 5.3 discusses sample sizes. 5.1 Stratification In order to carry out sampling, each of the ten provinces was divided into geographic strata. Generally, for each province one stratum represented the Census Metropolitan Areas (CMAs) of the province and another represented the non-CMA areas. There were two exceptions to this general rule:  Prince Edward Island has no CMA and so did not have a CMA stratum  Montreal and Toronto were each separate strata 5.2 Elimination of Non-working Banks RDD Design The Elimination of Non-Working Banks (ENWB) sampling technique is a method of Random Digit Dialling in which an attempt is made to identify all working banks for an area (i.e., to identify all banks with at least one household). All telephone numbers within non-working banks are eliminated from the sampling frame. For each province, lists of telephone numbers in use were purchased from the telephone companies and lists of working banks were extracted. Each bank was assigned to a stratum within its province. A special situation existed in Ontario and Quebec because some small areas are serviced by independent telephone companies rather than by Bell Canada. The area code prefixes for these areas were identified by matching the Bell file with a file of all area codes and prefixes. Area code prefixes from Ontario and Quebec and not on the Bell file were identified. All banks within these area code prefixes were generated and added to the sampling frame. Use of the Waksberg method was not possible for these areas since it requires that an accurate population estimate be available for the survey area. Such an estimate was not available for the parts of Ontario and Quebec not covered by Bell. A random sample of telephone numbers was generated for each stratum (from the working banks). An attempt was made to generate the entire sample of telephone numbers on the first day of interviewing. Therefore, a prediction of the percentage of numbers dialled that would reach a household had to be made (this is known as the "hit rate"). The hit rate was estimated using information from previous RDD surveys. For VAWS, 47.9% of the numbers dialled reached households. For each household that contained an eligible respondent, an attempt was made to conduct a VAWS interview with one randomly selected woman. 5.3 Sample Size The sample consisted of 22,319 households and a Control Form was completed for each. The Control Form listed all household members and collected the following basic demographic information: age, sex, marital status and relation to the family reference person. If the household contained any women, 18 years of age or older, one was randomly selected. Of the households contacted, 19,309 included an eligible respondent. A questionnaire was then completed with the selected person. Not all selected persons agreed to or were able to complete the interview; 12,300 interviews were obtained with enough information to be included in the files used for estimation and analysis (a response rate of 63.7%). 6. QUESTIONNAIRE CONTENT The VAWS questionnaire collected the following types of information: fear for personal safety in various everyday situations (Section A); sexual harassment in selected situations (Section B); sexual and physical assaults committed by strangers, dates/boyfriends and other known men (excluding husbands/partners) (Section C); threats committed by strangers, dates/boyfriends and other known men (excluding husbands/partners) (Section D); socio-economic questions for classification purposes (Section E); marriage and common-law history (Section F); socio- economic questions related to current husband/partner (Section G); power/control and emotional abuse by current husband/partner (Section H); violence in current marriage/common-law relationships (Section J); power/control and emotional abuse by previous husband/partner (Section K); violence in previous marriage/common-law relationships (Section L); abuse history of respondent's mother, current mother-in-law and previous mother-in-law (Section M); victimization report asking detailed information on a chosen incident of non-spousal violence (Section V); intimate abuse report asking detailed information on violence in a marital relationship (Section W); mini report for women who wanted to give additional information (Section Z). If a woman disclosed violence in any of Sections C, D, J, or L, a report was completed (Section V or W). To reduce respondent burden, details were asked about only one type of violence randomly selected among those experienced by the respondent, and when the type selected was non-spousal, questions were only asked about the most recent incident of that type of violence. See Section 9 for more detail about how an incident was selected. 7. COLLECTION Questionnaires and procedures were field tested twice for this survey; the first test in May-June 1992, the second in September 1992. The two tests were conducted from Regional Headquarters, in Ottawa. Data collection began in February 1993 and continued through to the end of June 1993. All interviewing took place using centralized telephone facilities in Regional Headquarters office with calls being made from approximately 10:00 until 23:00, Sunday to Friday inclusive; with the last call being placed no later than 8:00 p.m. local time. Interviewers were trained by Statistics Canada staff in telephone interviewing techniques, survey concepts and procedures in an eight-day classroom training session. 8. PROCESSING The following is an overview of the processing steps for VAWS. 8.1 Computer Assisted Telephone Interviewing (CATI) The survey questionnaires that are included in this documentation are reference documents. The Violence Against Women Survey collected data using Computer Assisted Telephone Interviewing (CATI) and so paper questionnaires were not used. With CATI, the survey questions appeared on a computer screen. The interviewer asked the respondent questions as they appeared on the screen, then entered the responses into the computer. 8.2 Edit and Imputation All survey records were subjected to an exhaustive computer edit to identify and correct invalid or inconsistent information on the questionnaires. Some answers were verified for consistency during the interview by the CATI system. Flow patterns and valid codes were programmed prior to the start of the survey, which eliminated keypunch errors. In the event the respondent was unwilling or unable to answer specific questions, "refused" and "do not know" codes were used, as appropriate, for individual questions. The interview could not proceed to the next question until each question was given a valid answer. The items required for weighting, such as age and number of residential telephone lines in the household, were not permitted "refused" or "do not know" codes. DVTEL (number of residential telephone lines) was derived from questions T8 to T11 of the Control Form. When the questionnaire did not contain adequate information to derive DVTEL, it was assigned a value of one (1). 8.3 Coding Several questions allowed write-in responses. Question A24 was analyzed and unique codes were created at the end of the survey period when all data had been collected. In the case of questions that had an "other, specify" category (for example, Question A18) each write-in response was examined. In some cases, new distinct categories were created due to the high number of similar write-in responses. A number of questions (e.g., Question A18) allowed for multiple responses. For these "mark all that apply" categories, all responses were retained with each option shown as a separate variable on the data file (A18A, A18B, A18C, etc.). 8.4 Creation of Combined and Derived Variables A number of variables on the file have been derived by using items found on the Control Form and the main questionnaire. Derived variable names generally start with DV and are followed by characters referring to the question number or subject. In some cases, the derived variables are straightforward and involve collapsing of categories. In other cases, several variables have been combined to create a new variable. The data dictionary provides comments indicating the origin of these variables. 8.5 Amount of Detail on Microdata File In order to guard against identifying an individual or any breach of confidentiality, the amount of detail included on this file is less than is available on the master file retained by Statistics Canada. Variables with extreme values have been capped (e.g., a 90 year-old woman would have her age shown as 75 on the microdata file) and information for some variables have been aggregated into broader classes. The measures taken to cap or group data have been indicated in the data dictionary. 9. ESTIMATION When a probability sample is used, as was the case for the VAWS, the principle behind estimation is that each person selected in the sample þrepresentsþ (in addition to herself) several other persons not in the sample. For example, in a simple random sample of 2% of the population, each person in the sample represents approximately 50 persons in the population. An overall weighting factor (PERWGHT) was placed on each record to indicate the number of persons that the record represents. This weighting factor refers to the number of times a particular record should contribute to a population estimate. For example, to estimate the number of women who worked at a job or business (E2), the value of PERWGHT is summed over all records with this characteristic. The weighting process is described in Section 9.1. In addition to person weight (PERWGHT), the file includes an incident weight (INCWGHT). This weight was required since the survey did not collect detailed information about each violent incident that the respondents experienced. To reduce respondent burden, details were asked about only one type of violence randomly selected among those experienced by the respondent, and when the type selected was non-spousal, questions were only asked about the most recent incident of that type of violence. The type of violence selected is indicated by QUESTID on the file. The categories of violence used for this selection were: 1. Sexual assault by a stranger (Questions C2, C7) 2. Sexual assault by a date/boyfriend (Question C13) 3. Sexual assault by an acquaintance (Questions C19, C25) 4. Physical assault by a stranger (Questions C32, D3) 5. Physical assault by a date/boyfriend (Questions C38, D9) 6. Physical assault by an acquaintance (Questions C44, D16) 7. Spousal violence with a current spouse (Questions J2 to J15) 8. Spousal violence with a previous spouse (Questions L2 to L15) INCWGHT was derived from PERWGHT using the process described at the end of Section 9.1. 9.1 Weighting A self-weighting sample design is one for which the weights of each unit in the sample are the same. The VAWS sample was selected using the Elimination of Non-Working Banks (ENWB) sampling technique, which has such a design, with each household within a stratum having an equal probability of selection. This probability is equal to: Number of telephone numbers sampled within the stratum Total number of possible telephone numbers within the stratum (The total number of possible telephone numbers for a stratum is equal to the number of working banks for a stratum times 100). 1) Basic Weight Calculation Each household (responding and non-responding) in the RDD sample was assigned a weight equal to the inverse of its probability of selection: Total number of possible telephone numbers within the stratum Number of sampled telephone numbers within the stratum 2) Non-Response Adjustment Weights for responding households were adjusted to represent non-responding households. This was done independently within each stratum. Records were adjusted by the following factor: Total of the household weights of all households within the stratum Factor 1 = Total of the household weights of responding households with the stratum Non-responding households were then dropped. 3) Multiple Telephone Adjustment Weights for households with more than one residential telephone number (i.e. not used for business purposes only) were adjusted downwards to account for the fact that such households had a higher probability of being selected. The weight for each household was divided by the number of residential telephone numbers that serviced the household. 1 Factor 2 = Number of non-business telephone numbers 4) Person Weight Calculation A person weight was then calculated for each person who responded to the survey by multiplying the household weight for that person by the number of persons in the household who were eligible to be selected for the survey (i.e. the number of women 18 years of age or over). 5) Adjustment for External Totals An adjustment was made to the person weights on records within each stratum in order to make population estimates consistent with Census projected population counts. This was done by multiplying the person weight for each record within the stratum by the following ratio: Projected Census population count for the stratum Sum of the person weights for the stratum 6) Province - Age - Sex Adjustment The next weighting step was to (ratio) adjust the weights to agree with Census projected province-age group-sex distributions. Census projected population counts were obtained for females within the following eleven age groups: 18-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70+ For each of the resulting classifications the person weights for records within the classification were adjusted by multiplying by the following ratio: Projected Census population count for the province-age group-sex (June 1993) Sum of the person weights of records for the province-age group-sex It should be noted that persons living in households without telephone service are included in these projections even though such persons were not sampled. Also, the sample size of some cells did not meet the minimum size requirement. These cells were collapsed with an adjacent age group cell to meet the requirement. 7) Raking Ratio Adjustments The weights of each respondent were adjusted using a raking ratio procedure. This procedure ensured that estimates produced for RO-Stratum and Province-Age Group-Sex would agree with the Census projections. This adjustment was made by repeating steps 5) and 6) of the weighting procedures. This resulted in the final person weight (PERWGHT). 8) Incident Weight The incident weight (INCWGHT) was derived from the person weight by adjusting for the selection of only one type of violence among those reported, for non-response to the incident report, and for the number of relationships/men with which the selected type of violence occurred. The non-response adjustment was made at the province-category of violence level, and the adjustment for number of men was made using the average number of men at the region- category of violence level. 9.2 Weighting Policy Users are cautioned against releasing unweighted tables or performing any analysis based on unweighted survey results. As was discussed in Section 9.1, there were several weight adjustments performed independently to the records of each province. Sampling rates as well as non-response rates varied significantly from province to province. Contact was made with 22,319 households during the survey, 19,309 of which included an eligible respondent. Of these, 5,807 (30.1%) were non-responding households. The non-responding households included 4,494 household refusals, and 1,313 cases where a response could not be obtained due to language difficulties or other problems. An interview was attempted with a person randomly selected from the eligible household members of the 13,502 responding households. From these households, 12,300 usable responses were obtained. The difference consists of 519 person-level refusals and 683 cases where the interview could not be completed for some other reason. A response rate of 63.7% was obtained. 9.3 Guidelines for Analysis As is detailed in Section 5 of this document, the respondents from the VAWS do not form a simple random sample of the target population. Instead, the survey had a complex design, with stratification and 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. The VAWS used a stratified design, with significant differences in sampling fractions between strata. Thus, some areas are over-represented in the sample (relative to their populations) while some other areas are relatively under-represented; this means that the unweighted sample is not representative of the target population. The survey weights must be used when producing estimates or performing analyses in order to account for this over- and under-representation. While many analysis procedures found in statistical packages allow weights to be used, the meaning or definition of the weight in these procedures often differs from that which is appropriate in a sample survey framework, with the result that while in many cases the estimates produced by the packages are correct, the variances that are calculated are almost meaningless. For many analysis techniques (for example linear regression, logistic regression, estimation of rates and proportions, and analysis of variance), a method exists which can make the variances calculated by the standard packages more meaningful. If the weights on the data, or any subset of the data, are rescaled so that the average weight is one (1), then the variances produced by the standard packages will be more reasonable; they still will not take into account the stratification and clustering of the sample's design, but they will take into account the unequal probabilities of selection. This rescaling can be accomplished by dividing each weight by the overall average weight before the analysis is conducted. For example, for an analysis of all respondents who are married or living with a common-law partner, the following steps are required: - Select all respondents from the file who report being married or living with a common-law partner (DVMS1 = 1 or 2); - Calculate the Average Weight for these records; - For each of these respondents, calculate a "working" weight equal to PERWGHT / Average Weight; - Perform the analysis for these respondents using the "working" weight. The calculation of truly meaningful 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 sample design into account can be calculated for many statistics by Statistics Canada on a cost recovery basis. 9.4 Methods of Estimation and Interpretation of Estimates 9.4.1 Person Weight The basic sampling weight assigned to each sampled individual (PERWGHT) has been adjusted to reflect the age and sex composition of the various provincial populations as projected by Statistics Canada, for June 1993. 12,300 þ PERWGHT = 10,498,237 i=1 = an estimate of the number of women 18 years of age and over in the population. When estimates of the number of persons are desired, while using Sections A to M, PERWGHT is to be used. Examples & Interpretations: (i) Over two-thirds (69%) of Canadians women 18 years of age and over (7.2 million) stated they have received an obscene phone call (B2 = 1). The value of 7.2 million is the sum of PERWGHT for those respondents for whom the value of B2 = 1. The value of 69% is 7.2 million over 10.5 million. (ii) Of women who drive (A10 = 1), 60% check the back seat of the car for intruders before getting in (A23 = 1, 2, or 3). The sum of PERWGHT for those with A10 = 1 is 7.9 million; the sum of PERWGHT for those with A10 = 1 and A23 = 1, 2, or 3 is 5.9 million; 5.9 divided by 7.9 is 75%. (iii) 63% of women are currently married or living common-law (DVMS1 = 1 or 2). The sum of PERWGHT for those with DVMS1 = 1 or 2 is 6.6 million. Of these, 3% (201,100 women) were assaulted by their partners in the past 12 months (ALLVCSP = 1). The sum of PERWGHT for those with DVMS1 = 1 or 2 AND ALLVCSP = 1 is 200,527; 200,527 divided by 6.6 million is 3%. 9.4.2 Incident Weight Incident weight should be used in analysis of the characteristics of a typical incident, combining more than one type of violence, such as all non-spousal sexual assaults (Categories 1, 2, and 3; see Page 10), using data from the incident report. This weight incorporates not only an adjustment for the selection on only one type of reported violence but also for the number of men who had committed each type of violence. Data were collected for only the most recent among perhaps many incidents when non-spousal violence was selected for the report. The spousal violence report collected data that applied to the whole relationship not just the most recent violent incident within that relationship. When using the data from the reports careful attention must be given to ensuring that only the cases of interest are included in the analysis. Examples & Interpretations: (i) Of the total number of current married or common-law partnerships with violence (1.0 million), 25% resulted in injuries (W6 = 1). The total number of marital partnerships with violence can be estimated two ways: using ALLVCSP and PERWGHT; or using QUESTID and INCWGHT. The sum of PERWGHT for those with ALLVCSP = 1, 2, or 3 is 1.0 million. The sum of INCWGHT for those with QUESTID = 12 is 1.0 million. The number of violent partnerships with violence, since it uses data from the incident report, must be estimated using INCWGHT: the sum of INCWGHT for those with QUESTID = 12 and W6 = 1 is 255,268. (QUESTID = 12 when the selected type of violence is with the respondent's current partner.) (ii) 12% of physical assaults committed by a stranger, date/boyfriend or acquaintance were reported to the police (V26 = 1). The sum of INCWGHT for QUESTID = 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, or 11 (the values for violence involving strangers, dates, or acquaintances) is 17.7 million. The sum for those also with V26 = 1 is 2.1 million or 12%. (iii) In 34% of marital partnerships with violence, women felt that their lives were in danger (W40 = 1). QUESTID = 12 or 13 for those cases where the selected type of violence was with a current or past partner. To estimate the number of partnerships with violence, sum INCWGHT over those cases with QUESTID = 12 or 13: 2.8 million. The sum over those also with W40 = 1 is .94 million, 34%. 9.5 Table Samples The following are samples of SAS programming and table outputs. 9.5.1 PERWGHT Tables Table 1 simple frequencies of questions A2, A6, A11 and A15, using the person weight as all respondents are asked these questions. It shows the number and percent distribution of women in the population who feel þveryþ, þsomewhatþ, þnot at allþ worried, or who are never in these situations. The SAS programming for this table is as follows: OPTIONS LS=132 PS=85; LIBNAME VAWS þT:\VAWSþ; DATA TEST1; SET VAWS.MICROVAW; KEEP A2 A6 A10 A11 A15 PERWGHT; IF A3 = 5 THEN A2 = 4; IF A6 = 5 OR A7 = 5 THEN A6 = 4; IF A10 = 2 OR A11 = 4 THEN A11 = 4; IF A11 = 5 OR A12 = 5 THEN A11 = 4; PROC FREQ; TABLES A2 A6 A11 A15; WEIGHT PERWGHT; RUN; Table 1 Number of women 18 years and over by feelings of safety and situation, Canada, 1993 Feelings of safety Total female Very Somewhat Not at all Never in Situation population worried worried worried situation No. % No. % No. % No. % No. % (Numbers in thousands) Walking alone in her area after dark 10,498 100 592 6 3,678 35 2,794 27 3,433 33 Waiting for/using public transportation alone after dark 10,498 100 709 7 1,772 17 798 8 7,219 69 Walking alone to her car in parking garage 10,498 100 1,353 13 2,792 27 840 8 5,511 53 When home alone in the evening 10,498 100 610 6 3,465 33 6,260 60 161 2 Violence Against Women Survey, 1993 Table 2 is an example of how to use person weighted estimates of the incidence of wife assault, sexual assault and physical assault (derived variables PHYALL, SEXALL and SPVIOL), together with province (PROV). This tables indicates the number and proportion of women in the ten provinces who have experienced violence in the past 12 months and since the age of 16, and the number who have experienced different types of incidents at least once since age 16. The programming follows: OPTIONS LS=132 PS=85; LIBNAME VAWS þT:\VAWSþ; DATA TEST1; SET VAWS.MICROVAW; KEEP PROV TOTVIOL TOTVIOL1 SPVIOL SPVIOL1 SEXALL SEXALL1 PHYALL PHYALL1 PERWGHT; TOTVIOL1 = þ þ; /* LIFETIME RATE OF VIOLENCE 1=YES */ IF TOTVIOL = 1 OR TOTVIOL = 2 OR TOTVIOL = 3 THEN TOTVIOL1 = 1; ELSE TOTVIOL1 = 2; SPVIOL1 = þ þ; /* TOTAL WIFE ASSAULT 1=YES */ IF SPVIOL = 1 OR SPVIOL = 2 OR SPVIOL = 3 THEN SPVIOL1 = 1; ELSE SPVIOL1 = 2; SEXALL1 = þ þ; /* TOTAL SEXUAL ASSAULT 1=YES */ IF SEXALL = 1 OR SEXALL = 2 OR SEXALL = 3 THEN SEXALL1 = 1; ELSE SEXALL1 = 2; PHYALL1 = þ þ; /* TOTAL PHYSICAL ASSAULT 1=YES */ IF PHYALL = 1 OR PHYALL = 2 OR PHYALL = 3 THEN PHYALL1 = 1; ELSE PHYALL1 = 2; PROC FREQ; TABLES PROV*TOTVIOL PROV*TOTVIOL1 PROV*SPVIOL1 PROV*SEXALL1 PROV*PHYALL1; WEIGHT PERWGHT; RUN; Table 2 Number of women 18 years and over by rate, type of violence and province, Canada, 1993 Rate Type of violence (lifetime) ___________________________________ ___________________________________________________________ Other assaults1 Province 12 month Lifetime Wife Sexual Physical rate rate assault assault assault No. % No. % No. % No. % No. % (Numbers in thousands) Total 1,016 10 5,377 51 2,652 25 3,841 37 1,768 17 Newfoundland 16 8 68 33 30 14 52 25 19 9 Prince Edward Island 6 12 24 51 10 22 19 39 7 15 Nova Scotia 38 11 174 50 95 27 122 35 59 17 New Brunswick 26 9 126 46 62 23 90 33 35 13 Qu‚bec 183 7 1,240 46 599 22 830 31 374 14 Ontario 408 10 2,070 53 972 25 1,499 38 696 18 Manitoba 47 12 200 49 104 26 144 35 57 14 Saskatchewan 32 9 164 46 88 25 112 32 42 12 Alberta 99 11 545 58 277 30 391 42 200 21 British Columbia 161 12 765 59 415 32 582 45 280 22 Violence Against Women Survey, 1993 1 Includes assaults by strangers, dates, boyfriends, and other known men. 9.5.2 INCWGHT Tables Table 3 illustrates incident weighted data showing the percentage of incidents resulting in injury (V9 and W6). This shows the number of incidents of wife assault, sexual assault and physical assault. Incident weighted data using type of incident (i.e. type of violence or relationship to offender) must be derived from QUESTID. Any crosstab that uses a variable from the Victimization Report or the Intimate Abuse Report (sections V or W) must use the incident weight (INCWGHT). As Table 3 indicates, the total number of incidents reported to the survey and incident weighted is 20.5 million. þIncidentsþ of wife assault are not actual incidents per se but are counted as þnumber of marital partnerships with violenceþ of which a respondent can have at most two - a current and a previous marital partnership. The programming is as follows: OPTIONS LS=132 PS=85; LIBNAME VAWS þT:\VAWSþ; DATA TEST1; SET VAWS.MICROVAW; KEEP QUESTID W6 INCWGHT; IF QUESTID = þ12þ OR QUESTID = þ13þ; PROC FREQ; TABLES W6; WEIGHT INCWGHT; RUN; DATA TEST2; SET VAWS.MICROVAW; KEEP QUESTID V9 INCWGHT; IF þ01þ LE QUESTID LE þ05þ; PROC FREQ; TABLES V9; WEIGHT INCWGHT; RUN; DATA TEST3; SET VAWS.MICROVAW; KEEP QUESTID V9 INCWGHT; IF þ06þ LE QUESTID LE þ11þ; IF V9 = þ0þ THEN V9 = þ2þ; PROC FREQ; TABLES V9; WEIGHT INCWGHT; RUN; DATA TEST4; SET VAWS.MICROVAW; KEEP QUESTID V9 W6 V9W6 INCWGHT; V9W6 = þ þ; IF þ01þ LE QUESTID LE þ13þ; IF V9=þ1þ OR W6=þ1þ THEN V9W6=þ1þ; ELSE IF V9=þ9þ OR W6=þ9þ THEN V9W6=þ9þ; ELSE IF V9=þ2þ OR W6=þ2þ THEN V9W6=þ2þ; ELSE IF V9=þ0þ OR W6=þ0þ THEN V9W6=þ2þ; PROC FREQ; TABLES V9W6; WEIGHT INCWGHT; RUN; Table 3 Violent incidents experienced by women 18 years and over by type of victimization and whether they were injured, Canada, 1993 Other assaults1 Total number of incidents Wife assault Sexual assault2 Physical assault No. in thousands % No. in thousands % No. in thousands % No. in thousands % Total 20,543 100 2,801 100 13,462 100 4,280 100 With injury 3,685 20 1,253 45 1,466 11 965 46 No injury 16,810 80 1,538 55 11,961 89 3,311 54 Not stated -- -- -- -- -- -- -- -- Violence Against Women Survey, 1993 1 Includes assaults by strangers, dates, boyfriends and other known men. 2 Approximately 45% of sexual assaults were unwanted sexual touching. -- Amount too small to be expressed. 10. RELEASE GUIDELINES AND DATA RELIABILITY It is important for users to become familiar with the contents of this section before publishing or otherwise releasing any estimates derived from the Violence Against Women Survey microdata file. This section of the documentation provides guidelines to be followed by users. With the aid of these guidelines, users of the microdata file should be able to produce figures consistent with those produced by Statistics Canada and in conformance with the established guidelines for rounding and release. The guidelines can be broken into four broad sections: Minimum Sample Sizes for Estimates; Sampling Variability Policy; Sampling Variability Estimation; and Rounding Policy. 10.1 Minimum Sample Size For Estimates Users should determine the number of records on the particular microdata file which contribute to the calculation of a given estimate. This number should be 15 or more for estimates using the person weight (PERWGHT) and 30 or more for estimates using the incident weight (INCWGHT). When the number of contributors to the weighted estimate is less than this, the weighted estimate should not be released regardless of the value of the Approximate Coefficient of Variation. 10.2 Sampling Variability Guidelines The estimates derived from this survey are based on a sample of households. Somewhat different figures might have been obtained if a complete census had been taken using the same questionnaire, interviewers, supervisors, processing methods, etc. as those actually used. The difference between the estimates obtained from the sample and the results from a complete count taken under similar conditions is called the sampling error of the estimate. Errors which are not related to sampling may occur at almost every phase of a survey operation. Interviewers may misunderstand instructions, respondents may make errors in answering questions, the answers may be incorrectly entered on CATI and errors may be introduced in the processing and tabulation of the data. These are all examples of non-sampling errors. Over a large number of observations, randomly occurring errors will have little effect on estimates derived from the survey. However, errors occurring systematically will contribute to biases in the survey estimates. Considerable time and effort was made to reduce non-sampling errors in the survey. Quality assurance measures were implemented at each step of the data collection and processing cycle to monitor the quality of the data. These measures included the use of highly skilled interviewers, extensive training of interviewers with respect to the survey procedures and questionnaire, observation of interviewers to detect problems of questionnaire design or misunderstanding of instructions, procedures to ensure that data capture errors were minimized and coding and edit quality checks to verify the processing logic. A major source of non-sampling errors in surveys is the effect of non-response on the survey results. The extent of non-response varies from partial non-response (failure to answer just one or some questions) to total non-response. Total non-response occurred because the interviewer was either unable to contact the respondent, the household refused to participate in the survey, or the respondent refused to participate in the survey. Total non-response was handled by adjusting the weight of households who responded to the survey to compensate for those who did not respond. In most cases, partial non-response to the survey occurred when the respondent did not understand or misinterpreted a question, refused to answer a question, or could not recall the requested information. Since it is an unavoidable fact that estimates from a sample survey are subject to sampling error, sound statistical practice calls for researchers to provide users with some indication of the magnitude of this sampling error. Although the exact sampling error of the estimate, as defined above, cannot be measured from sample results alone, it is possible to estimate a statistical measure of sampling error, the standard error, from the sample data. Using the standard error, confidence intervals for estimates (ignoring the effects of non-sampling error) may be obtained under the assumption that the estimates are normally distributed about the true population value. 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 it is virtually certain that the differences would be less than three standard errors. Because of the large variety of estimates that can be produced from a survey, the standard deviation is usually expressed relative to the estimate to which it pertains. The resulting measure, known as the coefficient of variation 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. Before releasing and/or publishing any estimates from the microdata file, users should determine whether the estimate is releasable based on the following guidelines: Type of Coefficient Policy Estimate of Variation Statement ______________________________________________________________________________ 1. Unqualified 0.0 to 16.5% Estimates can be considered for general unrestricted release. No special notation is required. 2. Qualified 16.6 to 33.3% Estimates can be considered for general unrestricted release but should be accompanied by a warning cautioning users of the high sampling variability associated with the estimates. 3. Not for 33.4% or over Estimates should not be released in any form under Release any circumstances. In such statistical tables, such estimates should be excluded. ______________________________________________________________________________ Note: The sampling variability policy should be applied to rounded estimates. 10.3 Estimates of Variance Variance estimation is described separately for qualitative and quantitative estimates. 10.3.1 Sampling Variability for Qualitative Estimates Derivation of sampling variabilities for each of the qualitative estimates which could be generated from the survey would be an extremely costly procedure, and for most users, an unnecessary one. Consequently, approximate measures of sampling variability, in the form of tables, have been developed for use and are included in APPENDIX A ("Approximate Variance Tables"). These tables were produced using the coefficient of variation formula based on a simple random sample. Since estimates for the Violence Against Women Survey are based on a complex sample design, a factor called the Design Effect has been introduced into the variance formula. The Design Effect for an estimate is the actual variance for the estimate (taking into account the design that was used) divided by the variance that would result if the estimate had been derived from a simple random sample. The Design Effect used to produce the Approximate Variance Tables has been determined by first calculating Design Effects for a wide range of characteristics and then choosing among these a conservative value which will not give a false impression of high precision. These Design Effects are specified in the following tables. Design Effects for Estimates using the Person Weight (PERWGHT) Geographic Area Design Effect Canada 1.54 Newfoundland 1.12 Prince Edward Island 1.18 Nova Scotia 1.17 New Brunswick 1.14 Quebec 1.17 Ontario 1.15 Manitoba 1.08 Saskatchewan 1.06 Alberta 1.13 British Columbia 1.09 Atlantic Region 1.19 Prairie Region 1.17 Design Effects for Estimates using the Incident Weight (INCWGHT) Geographic Area Design Effect Canada 3.03 Newfoundland 1.69 Prince Edward Island 3.83 Nova Scotia 3.22 New Brunswick 2.16 Quebec 1.81 Ontario 2.46 Manitoba 2.94 Saskatchewan 2.43 Alberta 2.96 British Columbia 2.73 Atlantic Region 2.56 Prairie Region 2.70 Approximate variance tables are provided for each province, the Atlantic Region, the Prairie Region and Canada. It should be noted that all coefficients of variation in these tables are approximate and, therefore unofficial. Estimates of actual variance for specific variables may be purchased from Statistics Canada. Use of actual variance estimates may allow users to release otherwise unreleasable estimates; i.e. estimates with coefficient of variation in the "Not for Release" range (see the policy regarding the release of the survey estimates on preceding pages). 10.3.2 Sampling Variability For Quantitative Estimates Approximate variances for quantitative variables cannot be as conveniently summarized. As a general rule, however, the coefficient of variation of a quantitative total will be larger than the coefficient of variation of the corresponding qualitative estimate (e.g., the number of persons contributing to the quantitative estimate). If the corresponding qualitative estimate is not releasable, then the quantitative total will in general not be releasable. 10.4 Rounding In order that estimates produced from the Violence Against Women Survey microdata file correspond to those produced by Statistics Canada, users are urged to adhere to the following guidelines regarding the rounding of such estimates. It may be misleading to release unrounded estimates, as they imply greater precision than actually exists. 10.4.1 Rounding Guidelines 1) Estimates of totals in the main body of a statistical table should be rounded to the nearest thousand using the normal rounding technique (see definition in Section 10.4.2). 2) Marginal sub-totals and totals in statistical tables are to be derived from their corresponding unrounded components and then are to be rounded themselves to the nearest thousand units using normal rounding. 3) Averages, proportions, rates and percentages are to be computed from unrounded components and then are to be rounded themselves to a whole numbering normal rounding. 4) Sums and differences of aggregates and ratios are to be derived from corresponding unrounded components and then rounded to the nearest thousand units or the nearest one decimal using normal rounding. 5) In instances where, due to technical or other limitations, a different rounding technique is used resulting in estimates different from Statistics Canada estimates, users are encouraged to note the reason for such differences in the released document. 10.4.2 Normal Rounding 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, the number 8499 rounded to thousands would be 8 and the number 8500 rounded to thousands would be 9. 11. FILE STRUCTURE The Microdata File is composed of 472 variables with 12,300 records. Special Notes 1. The variables on the File are generally in the following order: - Variables 1 to 13 are general identification information derived from the Control Form and weight variables; - Variables 14 to 287 cover Sections A to M; - Variables 288 to 472 cover Sections V and W. Due to the large number of variables on the File, an index is provided in Appendix C. 2. Variable Acronyms - Numerous variable names directly link the data to the questionnaire. For example, the acronym DVD3, refers the user to question D3 of the questionnaire, the source of the data provided by this particular variable. 3. Not Stated Categories - Generally a code 9 for a one-digit field, a code 99 for a 2-digit field, etc. indicates that the respondent did not answer a question and therefore the answer is not stated. As the following example indicates, two types of "Not Stated" categories may appear. THRSTR Threatened face-to-face by a male stranger 1 Yes, in past 12 months 2 Yes, not in past 12 months 3 Yes, unknown if past 12 months 4 No face-to-face threat 8 Do not know 9 Not stated Code 9, 99, etc. is the "true" not stated category for all variables on the file. In certain questions, however, a second þNot Statedþ category appears (THRSTR=3). Although the respondent may not have marked a response, the information was actually partially available. Because of the branching pattern of a particular response, related information which followed, allows imputations of the original question. Other responses within the question were truly not stated. These cases are thus identified separately. 4. The sample and population counts and the mean values for each variable in the data dictionary are calculated from all respondents not only the ones specified in the coverage component of the description of the variable. 12. ADDITIONAL INFORMATION Additional information about this survey can be obtained from the individuals listed below. Data from the survey are available through published reports, special request tabulations, and this microdata file. The microdata file is available from the Housing, Family and Social Statistics Division of Statistics Canada at a cost of $2,000.00. Tabulations can be obtained at a cost that will reflect the resources required to produce the tabulation. Sample Selection Procedures, Weighting and Estimation David Paton Development and Analysis Section Social Survey Methods Division (613) 951-1467 Subject Matter Holly Johnson Integration and Analysis Section Canadian Centre for Justice Statistics (613) 951-0599 Data Collection, Data Processing, General Josephine Stanic General Social Survey Housing, Family and Social Statistics Division (613) 951-8644 APPENDIX A Approximate Variance Tables APPROXIMATE VARIANCE TABLES By using the Approximate Variance Tables and the following rules, analysts should be able to determine approximate coefficients of variation for aggregates (totals), percentages, ratios, differences between totals, and differences between ratios. A set of tables is given for each of the two types of estimates that can be made using the microdata: estimates of numbers of persons, using the person weight (PERWGHT); and estimates of numbers of victimizations, using the incident weight (INCWGHT). Each set of tables includes one for Canada, one for each of the provinces, one for the Atlantic region (Newfoundland, Prince Edward Island, Nova Scotia, and New Brunswick), and one for the Prairie region (Manitoba, Saskatchewan, and Alberta). Rules for Obtaining Approximate Variances The following rules should enable the analyst to determine the approximate coefficients of variation from the Approximate Variance Tables for estimates of the number, proportion or percentage of the surveyed population possessing a certain characteristic and for ratios and differences between estimates. As noted in Section 10.1, each estimate based on PERWGHT should be derived from at least 15 respondents and each estimate based on INCWGHT from at least 30 respondents in order to be released, regardless of the Approximate Coefficient of Variation obtained from the tables. Rule 1: Estimates of Numbers Possessing a Characteristic (Aggregates) The coefficient of variation (cv) depends only on the size of the estimated aggregate itself. On the Approximate Variance Table, locate the estimated aggregate in the left-most column of the table (headed "Numerator of Percentage") and follow the asterisks across to the first figure encountered. This figure is the estimated coefficient of variation. Example 1: An analyst estimates that in Canada 1,016 thousand females aged 18 years and over report being a victim of violence in the past 12 months (variable TOTVIOL = 1, using PERWGHT). How does the analyst determine the approximate coefficient of variation for this estimate? Refer to the approximate variance table for Canada level estimates using the person weight. The estimated aggregate does not appear in the left-most column (the þNumerator of Percentageþ column), so it is necessary to use the closest figure, namely 1,000 thousand. The coefficient of variation for an estimated aggregate is found by referring to the first non-asterisk entry for that row, in this case 3.4%. This cv falls within the range of cv's for þUnqualifiedþ estimates (i.e. 0.0% - 16.5%, Section 10.2) allowing the estimate to be released without restriction. Example 2: An analyst estimates that in Canada females aged 18 years and over report 3,685 thousand victimizations in which they were injured (question V9 = 1 or question W6 = 1, using INCWGHT). How does the analyst determine the approximate coefficient of variation for this estimate? Refer to the approximate variance table for Canada level estimates using the incident weight. The estimated aggregate does not appear in the left-most column (the þNumerator of Percentageþ column), so it is necessary to use the closest figure, namely 4,000 thousand. The coefficient of variation for an estimated aggregate is found by referring to the first non-asterisk entry for that row, in this case 4.5%. This cv falls within the range of cv's for þUnqualifiedþ estimates (i.e. 0.0% - 16.5%, Section 10.2) allowing the estimate to be released without restriction. Rule 2: Estimates of Percentages or Proportions Possessing a Characteristic The coefficient of variation of an estimated percentage or proportion depends on both the size of the percentage or proportion and the size of the total upon which the percentage is based. Estimated percentages or proportions are relatively more reliable than the corresponding estimates of the numerators of the percentages, particularly if the percentages are 50 percent or more. (Note that in the tables the cv's decline in value reading from left to right). When the percentage or proportion is based upon the total population of the geographic area covered by the table, the cv of the percentage or proportion is the same as the cv of the numerator of the percentage. In this case, Rule 1 can be used. When the percentage or proportion is based upon a subset of the total population (e.g., those in a particular age-sex group), reference should be made to the percentage (across the top of the table) and to the numerator of the percentage or proportion (down the left side of the table). The intersection of the appropriate row and column gives the coefficient of variation. Example 3: An analyst estimates that in Canada 29.5% of females aged 18 years and over who have ever had a marital partner report being a victim of violence at the hands of a marital partner. For this proportion, the denominator is the estimated number of women who have ever had a marital partner: 9,002 thousand (question F7 = 1, 2, or 3 or question F8 = 1, 2, or 3, estimated using PERWGHT). The numerator is the number of women who have also report being a victim of spousal violence: 2,652 thousand (the above conditions plus variable SPVIOL = 1, 2, or 3). How does the analyst determine the approximate coefficient of variation for this estimate? Refer to the approximate variance table for Canada level estimates using the person weight. Because the estimate is a percentage which is based on a subset of the population covered by the table, it is necessary to use both the percentage (29.5%) and the numerator portion of the percentage (2,652 thousand) to determine the approximate coefficient of variation. Since the numerator does not appear in the left-most column (the þNumerator of Percentageþ column), it is necessary to use the figure closest to it, namely 3,000 thousand. Similarly, the percentage estimate does not appear among the column headings, so it is necessary to use the figure closest to it, namely 30.0%. The figure at the intersection of the row and column selected, namely 1.8%, is the coefficient of variation. This cv falls within the range of cv's for þUnqualifiedþ estimates (i.e. 0.0% - 16.5%, Section 10.2) allowing the estimate to be released without restriction. Example 4: An analyst estimates that in Canada 33.7% of marital relationships of females aged 18 years and over that involved spousal violence the women feared for their lives as a result of the violence. For this proportion, the denominator is the estimated number martial relationships that have included spousal violence: 2,801 thousand (variable QUESTID = 12 or 13, estimated using INCWGHT). The numerator is the number of cases in which the women feared for their lives: 944 thousand (the above conditions plus question W40 = 1). How does the analyst determine the approximate coefficient of variation for this estimate? Refer to the approximate variance table for Canada level estimates using the incident weight. Because the estimate is a percentage which is based on a subset of the population covered by the table, it is necessary to use both the percentage (33.7%) and the numerator portion of the percentage (944 thousand) to determine the approximate coefficient of variation. Since the numerator does not appear in the left-most column (the þNumerator of Percentageþ column), it is necessary to use the figure closest to it, namely 1,000 thousand. Similarly, the percentage estimate does not appear among the column headings, so it is necessary to use the figure closest to it, namely 35.0%. The figure at the intersection of the row and column selected, namely 8.2%, is the coefficient of variation. This cv falls within the range of cv's for þUnqualifiedþ estimates (i.e. 0.0% - 16.5%, Section 10.2) allowing the estimate to be released without restriction. Rule 3: 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 females and the numerator is the number of females who walked alone in their neighbourhood at least once a week. In the case where the numerator is not a subset of the denominator, the coefficient of variation of the ratio of two estimates is approximately equal to the square root of the sum of squares of each coefficient of variation considered separately. That is, the standard deviation of a ratio R = X / Y is sd(R) = R * (cv(X)2 + cv(Y)2)« The coefficient of variation of R is approximately: cv(R) = sd(R) / R = (cv(X)2 + cv(Y)2)« This formula will tend to overstate the error if X and Y are positively correlated and understate the error if X and Y are negatively correlated. Example 5: An analyst estimates that in Canada among females aged 18-34, 684,274 report being victims of violence in the past 12 months, while 282,088 females aged 35-54 report being victimized in the past 12 months (using DVAGE, TOTVIOL, and PERWGHT). The analysts is interested in the ratio of these two estimates. How does the analyst determine the approximate coefficient of variation for this ratio estimate? The numerator of the ratio estimate is 684,274 (X). Using Rule 1, the coefficient of variation for this estimate is determined to be 4.0% (cv(X)). The denominator of the ratio estimate is 282,088 (Y). Again using Rule 1, the coefficient of variation is determined to be 6.4% (cv(Y)). Using Rule 3, the coefficient of variation of the ratio estimate is cv = (0.0402 + 0.0642)« = 0.075 Therefore at the Canada level, the ratio of females victimized in the past 12 months that were 18-34 to those who were 35-54 is 684,274/282,088 or 2.4 to 1. The coefficient of variation of this estimate is .075 or 7.5%, and so the estimate can be released without restriction. Example 6: An analyst estimates that 2,070 thousand non-spousal victimizations have been reported to the police, while 727 thousand spousal victimizations have been (using QUESTID, question V26, question W26, and INCWGHT). The analysts is interested in the ratio of these two estimates. How does the analyst determine the approximate coefficient of variation for this ratio estimate? The numerator of the ratio estimate is 2,070 thousand (X). Using Rule 1, the coefficient of variation for this estimate is determined to be 6.8% (cv(X)). The denominator of the ratio estimate is 727 thousand (Y). Again using Rule 1, the coefficient of variation is determined to be 11.4% (cv(Y)). Using Rule 3, the coefficient of variation of the ratio estimate is cv = (0.0682 + 0.1142)« = 0.133 Therefore at the Canada level, the ratio of non-spousal victimizations reported to the police to spousal victimizations is 2,070/727 or 2.8 to 1. The coefficient of variation of this estimate is 13.3%, and so the estimate can be released without restriction. Rule 4: Differences Between Totals or Percentages The standard deviation of a difference between two estimates is approximately equal to the square root of the sum of squares of each standard deviation considered separately. That is, the standard deviation of a difference: d = X - Y is: sd(d) = [ (X * cv(X))2 + (Y * cv(Y))2 ]« The coefficient of variation of d is approximately: cv(d) = sd(d) / d This formula is accurate for the difference between separate and uncorrelated characteristics but is only approximate otherwise. Example 7: An analyst wants to compare the rates of victimization between Ontario and British Columbia, using the rate of victimization in the past 12 months for those aged 18-34. For Ontario, of 1,381 thousand women aged 18-34, 275 thousand report being victimized in the past 12 months, a victimization rate of 19.88%. For British Columbia the corresponding figures are: 434 thousand, 103 thousand, and 23.61%. (estimated using DVAGE, PROV, TOTVIOL, and PERWGHT). The analyst is interested in the difference between these two percentages. How does the analyst determine the approximate coefficient of variation for the estimate of the difference? Using Rule 2, the coefficient of variation for the Ontario estimate is 6.9%. (Using the Ontario person weight table for person weight estimates, the numerator is 300 thousand, and percentage is 20.) Using Rule 2, the coefficient of variation for the British Columbia is 7.8%. (Using the British Columbia person weight table, numerator is 100 thousand, and percentage is 25.) The difference between the estimates is 3.73%. Using Rule 4, standard deviation of the difference between the estimates is sd = ((0.1988 x 0.069)2 + (0.2361 x 0.078)2)« = 0.0230 and the coefficient of variation is 0.0230 cv = 0.0373 = 0.616 Therefore the coefficient of variation of the difference between the estimates is 61.6% and the estimate should not be released. Example 8: An analyst wants to compare the rates of injury in victimizations between Ontario and British Columbia, using the rates of injury in victimizations for those aged 18-34. For Ontario, of 3,622 thousand victimizations reported by women aged 18-34, 698 thousand involved injuries, a rate of 19.28%. For British Columbia the corresponding figures are: 1,481 thousand, 323 thousand, and 21.83% (estimated using DVAGE, PROV, V8, W6, and INCWGHT). The analyst is interested in the difference between these two percentages. How does the analyst determine the approximate coefficient of variation for the estimate of the difference? Using Rule 2, the coefficient of variation for the Ontario estimate is 12.9% (using the Ontario incident weight table, numerator is 750 thousand, and percentage is 20). Using Rule 2, the coefficient of variation for the British Columbia is 16.5% (using the British Columbia person weight table, numerator is 300 thousand, and percentage is 20). The difference between the estimates is 2.55%. Using Rule 4, standard deviation of the difference between the estimates is sd = ((0.1928 x 0.129)2 + (0.2183 x 0.165)2)« = 0.0438 and the coefficient of variation is 0.0438 cv = 0.0255 = 1.72 Therefore the coefficient of variation of the difference between the estimates is 172% and the estimate should not be released. Rule 5: Difference of Ratios In this case, Rules 3 and 4 are combined. The cv's of the two ratios are first determined using Rule 3, and the cv of their difference is found using Rule 4. Example 9: An analyst wants to compare the ratio of the number of women victimized in the past 12 months from the age group 18-34 to the number from the age group 35-54 between Ontario and British Columbia. For Ontario, of 275 thousand women aged 18-34 and 110 thousand women aged 35-54 reported being victimized in the past 12 months, a ratio of 2.50 to 1. For British Columbia the corresponding figures are: 103 thousand, 51 thousand, and 2.02 to 1. (estimated using DVAGE, PROV, TOTVIOL, and PERWGHT). The analyst is interested in the difference between these two percentages. How does the analyst determine the approximate coefficient of variation for the estimate of the difference? Using Rule 1, the coefficients of variation for the two Ontario estimates 275 thousand and 110 thousand are 7.4% and 13.1% (using the Ontario person weight table). Using Rule 3, the coefficient of variation of the ratio of these two estimates is 15.1%. Similarly, the coefficients of variation for the two British Columbia estimates 103 thousand and 51 thousand are 8.5% and 12.4% (using the British Columbia person weight table), and the coefficient of variation of the ratio of these two estimates is 15.0%. The difference between the two estimates 2.50 and 2.02 is .48. Using Rule 4, standard deviation of the difference between the estimates is sd = ((2.50 x 0.151)2 + (2.02 x 0.150)2)« = 0.484 and the coefficient of variation is 0.484 cv = 0.480 = 1.01 Therefore the coefficient of variation of the difference between the estimates is 101% and the estimate should not be released. Confidence Limits Although coefficients of variation are widely used, a more intuitively meaningful measure of sampling error is the confidence interval of an estimate. A confidence interval constitutes a statement on the level of confidence that the true value for the population lies within a specified range of values. For example a 95% confidence interval can be described as follows: If sampling of the population is repeated indefinitely, 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 differences would be less than three standard errors. These different degrees of confidence are referred to as the confidence levels. Confidence intervals for an estimate, , are generally expressed as two numbers, one below the estimate and one above the estimate, as (-k, +k) where k is determined depending upon the level of confidence desired and the sampling error of the estimate. Confidence intervals for an estimate can be calculated directly from the Approximate Variance Tables by first determining from the appropriate table the coefficient of variation of the estimate, and then using the following formula to convert to a confidence interval CI: CIx = { - (t)()(à), + (t)()(à)} where à is the determined coefficient of variation of t = 1 if a 68% confidence interval is desired; t = 1.6 if a 90% confidence interval is desired; t = 2 if a 95% confidence interval is desired; t = 3 if a 99% confidence interval is desired. Example 10: An estimated 1,016 thousand women were victims of violence in the past 12 months. This estimate has an approximate coefficient of variation of 3.4% (see Example 1). The 95% confidence interval for this estimate is thus: CI = {1,016 - (2)(1,016)(0.034), 1,016 + (2)(1,016)(0.034)} = {1,016 - 69, 1,016 + 69} = {1,085, 947} (thousand) Example 11: An estimated 29.5% of females aged 18 years and over in Canada who have ever had a marital partner have been victims of spousal violence. From Example 3 this estimate has an approximate coefficient of variation of 1.8%. A 95% confidence interval for this estimate (expressed as a proportion) is CI = {.295 - (2 x .295 x 0.018), .295 + (2 x .295 x .0.018)} = {0.306, 0.284} With 95% confidence it can be said that between 28.4% and 30.6% of females aged 18 years and over in Canada who have ever had a marital partner have been victims of spousal violence. Note: Release guidelines apply to both the estimate and to its confidence interval. For example, if the estimate is not releasable, then the confidence interval is not releasable. 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 X1 and X2 be sample estimates for 2 characteristics of interest. Let the standard error of the difference 1 - 2 be å 1 - 2 If t = å is between -2 and 2, then no conclusion about the difference between the characteristics is justified at the 5% level of significance. If however, this ratio is smaller than -2 or larger than +2, the observed difference is significant at the 5% level. Example 12: An analyst wishes to test at the 5% level of significance the hypothesis that at the Canada level there is no difference between the estimated percentages of spousal and non-spousal victimizations that are reported to the police. For non-spousal victimizations, 2,070 thousand of 17.74 million (11.7%) were reported to the police. For spousal victimizations, 727 thousand of 2.80 million (25.9%) were reported to the police. Using Rule 2, the cv's of these two estimates are 6.8% and 10.2%. Using Rule 4, the standard deviation of the difference between the two estimates is: sd = ((0.117 x 0.068)2 + (0.259 x 0.102)2)« = .0276 0.259 - 0.117 Hence t = .0276 = 5.14 Since t = 5.14 is greater than 2, there is evidence to reject the hypothesis at the 5% significance level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