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All (4) ((4 results))

  • Articles and reports: 12-001-X20010015857
    Description:

    This article describes and evaluates a procedure for imputing missing values for a relatively complex data structure when the data are missing at random. The imputations are obtained by fitting a sequence of regression models and drawing values from the corresponding predictive distributions. The types of regression models used are linear, logistic, Poisson, generalized logit or a mixture of these depending on the type of variable being imputed. Two additional common features in the imputation process are incorporated: restriction to a relevant subpopulation for some variables and logical bounds or constraints for the imputed values. The restrictions involve subsetting the sample individuals that satisfy certain criteria while fitting the regression models. The bounds involve drawing values from a truncated predictive distribution. The development of this method was partly motivated by the analysis of two data sets which are used as illustrations. The sequential regression procedure is applied to perform multiple imputation analysis for the two applied problems. The sampling properties of inferences from multiply imputed data sets created using the sequential regression method are evaluated through simulated data sets.

    Release date: 2001-08-22

  • Articles and reports: 85-002-X20010048390
    Geography: Canada
    Description:

    Using data from the 1994/95 and 1996/97 National Longitudinal Survey on Children and Youth, this Juristat examines problem behaviour and delinquency as reported by a representative sample of youths between 10 and 13 years of age. Specifically four different issues are explored. First, the demographic variation in delinquency is assessed. Second, to understand life-course trajectories of children and youth involved in aggressive behaviour and delinquent acts against property, stability in delinquency is examined. Third, to understand why young people commit offences, it is important to differentiate aggressive behaviour from other types of delinquency. Therefore, the relationship between aggressive behaviour and delinquent acts against property is examined. Finally, the most common risk factors in childhood and early adolescence are presented.

    Release date: 2001-06-12

  • Articles and reports: 81-589-X20010015837
    Description:

    Allen Zeesman shared findings from the National Longitudinal Survey on Children and Youth (NLSCY) and the Understanding the Early Years survey (UEY).

    Release date: 2001-05-22

  • Articles and reports: 81-589-X20010015850
    Description:

    This attempt at a synthesis will centre around three questions: "What do we know about children and youth at risk?" "What do we need to know?" and "What are the major policy issues surrounding this area that might be informed by research?"

    Release date: 2001-05-22
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  • Articles and reports: 12-001-X20010015857
    Description:

    This article describes and evaluates a procedure for imputing missing values for a relatively complex data structure when the data are missing at random. The imputations are obtained by fitting a sequence of regression models and drawing values from the corresponding predictive distributions. The types of regression models used are linear, logistic, Poisson, generalized logit or a mixture of these depending on the type of variable being imputed. Two additional common features in the imputation process are incorporated: restriction to a relevant subpopulation for some variables and logical bounds or constraints for the imputed values. The restrictions involve subsetting the sample individuals that satisfy certain criteria while fitting the regression models. The bounds involve drawing values from a truncated predictive distribution. The development of this method was partly motivated by the analysis of two data sets which are used as illustrations. The sequential regression procedure is applied to perform multiple imputation analysis for the two applied problems. The sampling properties of inferences from multiply imputed data sets created using the sequential regression method are evaluated through simulated data sets.

    Release date: 2001-08-22

  • Articles and reports: 85-002-X20010048390
    Geography: Canada
    Description:

    Using data from the 1994/95 and 1996/97 National Longitudinal Survey on Children and Youth, this Juristat examines problem behaviour and delinquency as reported by a representative sample of youths between 10 and 13 years of age. Specifically four different issues are explored. First, the demographic variation in delinquency is assessed. Second, to understand life-course trajectories of children and youth involved in aggressive behaviour and delinquent acts against property, stability in delinquency is examined. Third, to understand why young people commit offences, it is important to differentiate aggressive behaviour from other types of delinquency. Therefore, the relationship between aggressive behaviour and delinquent acts against property is examined. Finally, the most common risk factors in childhood and early adolescence are presented.

    Release date: 2001-06-12

  • Articles and reports: 81-589-X20010015837
    Description:

    Allen Zeesman shared findings from the National Longitudinal Survey on Children and Youth (NLSCY) and the Understanding the Early Years survey (UEY).

    Release date: 2001-05-22

  • Articles and reports: 81-589-X20010015850
    Description:

    This attempt at a synthesis will centre around three questions: "What do we know about children and youth at risk?" "What do we need to know?" and "What are the major policy issues surrounding this area that might be informed by research?"

    Release date: 2001-05-22
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