This volume serves as a guide to research in the area of drawing inferences from self-selected samples. Of interest to prof audience of policy makers, survey researchrs, pollsters, market researchrs, statisticians, demographers, economists & sociologists
This volume serves as a guide to research in the area of drawing inferences from self-selected samples. Of interest to prof audience of policy makers, survey researchrs, pollsters, market researchrs, statisticians, demographers, economists & sociologists
Contents: Preface. H. Wainer Introduction and Overview. H. Wainer The SAT as a Social Indicator: A Pretty Bad Idea. J. Hartigan J.W. Tukey Discussion 1: The SAT as a Social Indicator: A Pretty Bad Idea. B. Singer Self-Selection and Performance-Based Ratings: A Case Study in Program Evaluation. J. Hartigan J.W. Tukey Discussion 2: Self-Selection and Performance-Based Ratings: A Case Study in Program Evaluation. J. Hartigan J.W. Tukey Discussion 3: Alternative Methods for Evaluating the Impact of Intervention. J.J. Heckman R. Robb Alternative Methods for Solving the Problem of Selection Bias in Evaluating the Impact of Treatments on Outcomes. J.W. Tukey Comments. J.J. Heckman R. Robb Postscript: A Rejoinder to Tukey. R.J. Glynn N.M. Laird D.B. Rubin Selection Modeling Versus Mixture Modeling With Nonignorable Nonresponse. J.W. Tukey Discussion 4: Mixture Modeling Verus Selection Modeling With Nonignorable Nonresponse. P.W. Holland A Comment on Remarks by Rubin and Hartigan.
Contents: Preface. H. Wainer Introduction and Overview. H. Wainer The SAT as a Social Indicator: A Pretty Bad Idea. J. Hartigan J.W. Tukey Discussion 1: The SAT as a Social Indicator: A Pretty Bad Idea. B. Singer Self-Selection and Performance-Based Ratings: A Case Study in Program Evaluation. J. Hartigan J.W. Tukey Discussion 2: Self-Selection and Performance-Based Ratings: A Case Study in Program Evaluation. J. Hartigan J.W. Tukey Discussion 3: Alternative Methods for Evaluating the Impact of Intervention. J.J. Heckman R. Robb Alternative Methods for Solving the Problem of Selection Bias in Evaluating the Impact of Treatments on Outcomes. J.W. Tukey Comments. J.J. Heckman R. Robb Postscript: A Rejoinder to Tukey. R.J. Glynn N.M. Laird D.B. Rubin Selection Modeling Versus Mixture Modeling With Nonignorable Nonresponse. J.W. Tukey Discussion 4: Mixture Modeling Verus Selection Modeling With Nonignorable Nonresponse. P.W. Holland A Comment on Remarks by Rubin and Hartigan.
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