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All (6) ((6 results))

  • 1. In this issue (Vol. 33, no.1) Archived
    Articles and reports: 12-001-X20070019920
    Description:

    In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.

    Release date: 2007-06-28
  • 2. Data swapping is not the panacea Archived
    Articles and reports: 11-522-X20050019435
    Description:

    Data swapping introduces noise in a dataset to improve the protection of statistical confidentiality. We demonstrate in this article that this technique introduces a bias in the estimates.

    Release date: 2007-03-02
  • 3. Regression with latent variables Archived
    Articles and reports: 11-522-X20050019473
    Description:

    This talk will provide a brief overview of some of some techniques, highlighting the advantages and disadvantages of each, with particular reference to the data types usually encountered in the social sciences. The overview will touch on naïve methods based on the use of latent variable scores, and on methods for correcting and / or avoiding the biases associated with such analyses. The talk will conclude with a brief description of some recent applications to probit and logistic regression with latent predictor variables, and with suggestions for future research.

    Release date: 2007-03-02
  • 4. Methods for longitudinal binary data with missing observations Archived
    Articles and reports: 11-522-X20050019474
    Description:

    Missingness is a common feature of longitudinal studies. In recent years there has been considerable research devoted to the development of methods for the analysis of incomplete longitudinal data. One common practice is imputation by the " last observation carried forward" (LOCF) approach, in which values for missing responses are imputed using observations from the most recently completed assessment. In this talk I will first examine the performance of the LOCF approach where the generalized estimating equations (GEE) are employed as the inferential procedures.

    Release date: 2007-03-02
  • 5. Using the postal code as merge key for independent data files: matching data from the Canadian Census and an administrative file of school test scores in Quebec Archived
    Surveys and statistical programs – Documentation: 11-522-X20050019476
    Description:

    The paper will show how, using data published by Statistics Canada and available from member libraries of the CREPUQ, a linkage approach using postal codes makes it possible to link the data from the outcomes file to a set of contextual variables. These variables could then contribute to producing, on an exploratory basis, a better index to explain the varied outcomes of students from schools. In terms of the impact, the proposed index could show more effectively the limitations of ranking students and schools when this information is not given sufficient weight.

    Release date: 2007-03-02
  • 6. Estimating undercounting of vehicle-related injury cases in New Zealand: a probabilistic data integration and capture-recapture approach Archived
    Articles and reports: 11-522-X20050019477
    Description:

    Using probabilistic data linkage, an integrated database of injuries is obtained by linking on some subset of various key variables or their derivatives: names (given names, surnames and alternative names), age, sex, birthdate, phone numbers, injury date, unique identification numbers, diagnosis. To assess the quality of the links produced, false positive rates and false negative rates are computed. These rates however do not give an indication of whether the databases used for linking have undercounted injuries (bias). It is of interest to an injury researcher moreover, to have some idea of the error margin for the figures generated from integrating various injury databases, similar to what one would get in a survey for instance.

    Release date: 2007-03-02
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Analysis (5)

Analysis (5) ((5 results))

  • 1. In this issue (Vol. 33, no.1) Archived
    Articles and reports: 12-001-X20070019920
    Description:

    In this Issue is a column where the Editor biefly presents each paper of the current issue of Survey Methodology. As well, it sometimes contain informations on structure or management changes in the journal.

    Release date: 2007-06-28
  • 2. Data swapping is not the panacea Archived
    Articles and reports: 11-522-X20050019435
    Description:

    Data swapping introduces noise in a dataset to improve the protection of statistical confidentiality. We demonstrate in this article that this technique introduces a bias in the estimates.

    Release date: 2007-03-02
  • 3. Regression with latent variables Archived
    Articles and reports: 11-522-X20050019473
    Description:

    This talk will provide a brief overview of some of some techniques, highlighting the advantages and disadvantages of each, with particular reference to the data types usually encountered in the social sciences. The overview will touch on naïve methods based on the use of latent variable scores, and on methods for correcting and / or avoiding the biases associated with such analyses. The talk will conclude with a brief description of some recent applications to probit and logistic regression with latent predictor variables, and with suggestions for future research.

    Release date: 2007-03-02
  • 4. Methods for longitudinal binary data with missing observations Archived
    Articles and reports: 11-522-X20050019474
    Description:

    Missingness is a common feature of longitudinal studies. In recent years there has been considerable research devoted to the development of methods for the analysis of incomplete longitudinal data. One common practice is imputation by the " last observation carried forward" (LOCF) approach, in which values for missing responses are imputed using observations from the most recently completed assessment. In this talk I will first examine the performance of the LOCF approach where the generalized estimating equations (GEE) are employed as the inferential procedures.

    Release date: 2007-03-02
  • 5. Estimating undercounting of vehicle-related injury cases in New Zealand: a probabilistic data integration and capture-recapture approach Archived
    Articles and reports: 11-522-X20050019477
    Description:

    Using probabilistic data linkage, an integrated database of injuries is obtained by linking on some subset of various key variables or their derivatives: names (given names, surnames and alternative names), age, sex, birthdate, phone numbers, injury date, unique identification numbers, diagnosis. To assess the quality of the links produced, false positive rates and false negative rates are computed. These rates however do not give an indication of whether the databases used for linking have undercounted injuries (bias). It is of interest to an injury researcher moreover, to have some idea of the error margin for the figures generated from integrating various injury databases, similar to what one would get in a survey for instance.

    Release date: 2007-03-02
Reference (1)

Reference (1) ((1 result))

  • 1. Using the postal code as merge key for independent data files: matching data from the Canadian Census and an administrative file of school test scores in Quebec Archived
    Surveys and statistical programs – Documentation: 11-522-X20050019476
    Description:

    The paper will show how, using data published by Statistics Canada and available from member libraries of the CREPUQ, a linkage approach using postal codes makes it possible to link the data from the outcomes file to a set of contextual variables. These variables could then contribute to producing, on an exploratory basis, a better index to explain the varied outcomes of students from schools. In terms of the impact, the proposed index could show more effectively the limitations of ranking students and schools when this information is not given sufficient weight.

    Release date: 2007-03-02
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