Results from a pilot test, conducted in September 2001, were also used to develop and refine the content and the survey instrument.

Data from the ethnic origin question in the National Household Survey (NHS) are used to derive summary and detailed variables which help to provide an ethnocultural portrait of the population living in Canada.

Sampling error derives from the fact that the estimates were obtained from a sample, rather than from a census of the entire population performed under the same conditions. These basics are genuinely useful for analysts to slice and dice information.

For example, in 2011, about 544,445 people stated that their only ethnic origin was Scottish. Intersex – Someone with physical, genetic and hormonal features of a male and female. Tables accessible from the 'Data and other products' section of this document show the specific Ethnic origin variables used in data products for the 2011 NHS. All other types of errors are not due to sampling and may arise at any stage of a survey. Agender – Those with no gender identity or a neutral identity. Flexible. Statistics Canada is prohibited by law from releasing any information it collects that could identify any person, business, or organization, unless consent has been given by the respondent or as permitted by the Statistics Act. This problem mainly affects two Atlantic provinces, Nova Scotia and New Brunswick. Can't find what you're looking for? Many factors affect comparisons of ethnic origin data across these sources. By accessing and using this page, you agree to the. Once data processing and imputation were completed, the data were weighted to represent the total Canadian population. Gender nonconforming – Those who do not follow conventional ideas about how they should look or act based on their birth gender. Several data sources were used to evaluate the NHS estimates for ethnic origin such as: 2006 Census of Population, 2011 Census of Population results for mother tongue, the Longitudinal Immigrant Database (IMDB) and administrative data pertaining to permanent residents and non-permanent residents from Citizenship and Immigration Canada. First of all, the survey will help us to better understand how people's backgrounds affect their participation in the social, economic and cultural life of Canada. A detailed study of the characteristics of persons not covered, using census data, shows that the sample remained representative of the target population for the majority of the survey variables of interest. There was male and there was female, so we simply asked: “Which are you?” But our culture has begun acknowledging the fluidity of gender identity and gender assignment, and now, too, must survey … Missing responses to geographic (i.e., province of residence, census metropolitan area) and demographic (age, sex, marital status and relationships between members of household) variables were imputed in a deterministic way. Gender used to be one of the easiest questions to write for a survey. At the same time, the data sources used to evaluate these results are also less reliable making it difficult to certify these smaller counts.

The Alchemer Professional Services team can help you create and deploy the systems you need or teach you how to do it yourself. Sexual orientation refers to a person’s emotional, physical, and sexual attraction to other people. Demi-boy – Someone whose identity is only partly male, regardless of their birth gender. Non-response bias is a potential source of error for all surveys including the NHS. The National Household Survey (NHS) underwent a thorough data quality assessment similar to what was done for the 2011 Census of Population and past censuses. As might be expected, the first generations had the lowest response rate, 73% compared with 77% for the second and third generations or more. review our Privacy Policy to learn more. View the Questionnaire(s) and reporting guide(s) In their 2015 study, “New Categories Are Not Enough: Rethinking the Measurement of Sex and Gender in Social Surveys,” Saperstein and Westbrook drive home the importance of thinking critically about the way we ask about gender in our surveys: “A hyper-gendered world of ‘males’ and ‘females,’ ‘brothers’ and ‘sisters,’ and ‘husbands’ and ‘wives’ shapes what we can see in survey data. If not altered, surveys will continue to reproduce statistical representations that erase important dimensions of variation and likely limit understanding of the processes that perpetuate social inequality.”. Information identified as archived is provided for reference, research or recordkeeping purposes. This type of error includes primarily errors in coverage, in non-response, response and processing. Furthermore, the reporting of ethnicity, and subsequent interpretation of the results, is complex, and poses challenges for comparisons with other data sources. Other than Aboriginal persons, most people can trace their origins to their ancestors who first came to this continent. From government forms to SparkPeople.com surveys, the binary gender options remain. For more information on NHS non-response bias and mitigation strategies employed by Statistics Canada, please refer to the National Household Survey User Guide, Catalogue no.

The main highlights of this assessment are presented below.

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