![]() In order to carry out sampling, the ten provinces of the target population are divided into strata (i.e. geographic areas). Note that GSS only selects one eligible person per household to be interviewed. The final stage units are individuals within the identified households. The sampling units are the groups of telephone numbers. Information is collected from one randomly selected household member aged 15 or older, and proxy responses are not permitted. The stratification is done at the province/census metropolitan area (CMA) level. The sample is based on a stratified design employing probability sampling. This sampling frame is used to obtain a better coverage of households with a telephone number. Records on the frame are groups of one or several telephone numbers associated with the same address (or single telephone number in the case a link between a telephone number and an address could not be established). This survey uses a frame that combines landline and cellular telephone numbers from the Census and various administrative sources with Statistics Canada’s dwelling frame. This is a sample survey with a cross-sectional design. For the survey, a single eligible member of each sampled household is randomly selected by the application to complete the questionnaire, after the completion of the roster. The target population for the survey is non-institutionalized persons 15 years of age or older, living in the 10 provinces. ![]() General Social Survey Cycle 30: Canadians at Work and Home, 2016 In addition, some of the data from this survey will be comparable internationally. Data from this survey will assist with program and policy decisions and research of all kinds interested in exploring the workplace, home life and leisure activities of Canadians from all areas of life. Within Canada, all levels of government, academics and not-for-profit organizations have expressed interest in the results. New-to-GSS questions on purpose in life, opportunities, life aspirations, outlook and resilience complement previously asked ones on subjective well-being, stress management and other socioeconomic variables. The survey also covers eating habits and nutritional awareness, the use of technology, sports and outdoor activities, and involvement in cultural activities. On the home front, questions include family activity time, the division of labour and work-life balance. In the work sphere, it explores important topics such as work ethic, work intensity and distribution, compensation and employment benefits, work satisfaction and meaning, intercultural workplace relations, and bullying and harassment. The survey includes a multitude of themes. The strength of this survey is its ability to take diverse information Canadians provide on various facets of life and combine them in ways not previously possible with surveys that covered one main topic only. Data users have expressed a strong interest in knowing more about the lifestyle behaviour of Canadians that impact their health and well-being both in the workplace and at home. The General Social Survey Program’s new cycle,Canadians at Work and Home, takes a comprehensive look at the way Canadians live by incorporating the realms of work, home, leisure, and overall well-being into a single unit. Bringing these two together will provide insight on the health and well-being of Canadians as they meet the challenges of the future. Charting patterns of home and leisure activities can take the temperature of Canadian culture. Gauging the quality of life at work can help diagnose issues relating to productivity, morale, efficiency and equity. org/10.Canada’s rapidly changing demographic profile, along with its accompanying social and economic issues, has led to much discussion concerning the relationship between work, lifestyle and well-being. In SAGE Research Methods Datasets Part 2. Learn about rescaling and transforming variables in survey data in R with data from the general social survey (2004–2016). Reid, Abigail-Kate, and Nick Allum (2019). Reid, Abigail-Kate and Nick Allum London: SAGE Publications, Ltd., 2019. Learn About Rescaling and Transforming Variables in Survey Data in R With Data From the General Social Survey (2004–2016), London: SAGE Publications, Ltd. "Learn About Rescaling and Transforming Variables in Survey Data in R With Data From the General Social Survey (2004–2016)." In SAGE Research Methods Datasets Part 2.
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