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  • 1. Evaluation of the factor structure of the child-reported parenting questionnaire in the National Longitudinal Survey of Children and Youth Archived
    Articles and reports: 82-003-X201100111404
    Geography: Canada
    Description:

    This study assesses three child-reported parenting behaviour scales (nurturance, rejection and monitoring) in the National Longitudinal Survey of Children and Youth.

    Release date: 2011-02-16
  • 2. Generalized quality control for optical data capture at Statistics Canada Archived
    Articles and reports: 11-522-X200800010968
    Description:

    Statistics Canada has embarked on a program of increasing and improving the usage of imaging technology for paper survey questionnaires. The goal is to make the process an efficient, reliable and cost effective method of capturing survey data. The objective is to continue using Optical Character Recognition (OCR) to capture the data from questionnaires, documents and faxes received whilst improving the process integration and Quality Assurance/Quality Control (QC) of the data capture process. These improvements are discussed in this paper.

    Release date: 2009-12-03
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  • 1. Evaluation of the factor structure of the child-reported parenting questionnaire in the National Longitudinal Survey of Children and Youth Archived
    Articles and reports: 82-003-X201100111404
    Geography: Canada
    Description:

    This study assesses three child-reported parenting behaviour scales (nurturance, rejection and monitoring) in the National Longitudinal Survey of Children and Youth.

    Release date: 2011-02-16
  • 2. Generalized quality control for optical data capture at Statistics Canada Archived
    Articles and reports: 11-522-X200800010968
    Description:

    Statistics Canada has embarked on a program of increasing and improving the usage of imaging technology for paper survey questionnaires. The goal is to make the process an efficient, reliable and cost effective method of capturing survey data. The objective is to continue using Optical Character Recognition (OCR) to capture the data from questionnaires, documents and faxes received whilst improving the process integration and Quality Assurance/Quality Control (QC) of the data capture process. These improvements are discussed in this paper.

    Release date: 2009-12-03
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