Statistics by subject – Education, training and learning

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All (4) (4 of 4 results)

  • Articles and reports: 81-004-X201000611405
    Description:

    This article uses data from the Postsecondary Student Information System (PSIS) to draw a portrait of the changing make-up of international students enrolled in Canadian universities on either a part-time or full-time basis over the 1992 to 2008 period. This portrait shows how different international students are today compared to their counterparts in the early 1990s by examining changes that are evident in their university program levels and fields of study, age and gender composition, source countries and destinations within Canada.

    Release date: 2011-02-24

  • Technical products: 11-522-X20010016308
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    The Census Bureau uses response error analysis to evaluate the effectiveness of survey questions. For a given survey, questions that are deemed critical to the survey or considered problematic from past examination are selected for analysis. New or revised questions are prime candidates for re-interview. Re-interview is a new interview where a subset of questions from the original interview are re-asked to a sample of the survey respondents. For each re-interview question, the proportion of respondents who give inconsistent responses is evaluated. The "Index of Inconsistency" is used as the measure of response variance. Each question is labelled low, moderate, or high in response variance. In high response variance cases, the questions are put through cognitive testing, and modifications to the question are recommended.

    The Schools and Staffing Survey (SASS) sponsored by The National Center for Education Statistics (NCES), is also investigated for response error analysis and the possible relationships between inconsistent responses and characteristics of the schools and teachers in that survey. Results of this analysis can be used to change survey procedures and improve data quality.

    Release date: 2002-09-12

  • Articles and reports: 81-003-X19990024899
    Description:

    This article explores the role of parents in the learning environment of children aged 6 to 11 years, using results from the first cycle of the National Longitudinal Survey of Children and Youth (NLSCY).

    Release date: 2000-03-07

  • Articles and reports: 81-003-X19990024898
    Description:

    This article explores children's academic achievement, behaviour, classroom environment and other school-related experiences, using the National Longitudinal Survey of Children and Youth (NLSCY).

    Release date: 2000-03-07

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  • Technical products: 11-522-X20010016308
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    The Census Bureau uses response error analysis to evaluate the effectiveness of survey questions. For a given survey, questions that are deemed critical to the survey or considered problematic from past examination are selected for analysis. New or revised questions are prime candidates for re-interview. Re-interview is a new interview where a subset of questions from the original interview are re-asked to a sample of the survey respondents. For each re-interview question, the proportion of respondents who give inconsistent responses is evaluated. The "Index of Inconsistency" is used as the measure of response variance. Each question is labelled low, moderate, or high in response variance. In high response variance cases, the questions are put through cognitive testing, and modifications to the question are recommended.

    The Schools and Staffing Survey (SASS) sponsored by The National Center for Education Statistics (NCES), is also investigated for response error analysis and the possible relationships between inconsistent responses and characteristics of the schools and teachers in that survey. Results of this analysis can be used to change survey procedures and improve data quality.

    Release date: 2002-09-12

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