Multilevel analysis of educational data

著者

• Bock, R. Darrell
• University of California, Los Angeles. Center for Research in Evaluation, Standards, and Student Testing

書誌事項

Multilevel analysis of educational data

edited by R. Darrell Bock

Academic Press, c1989

注記

Includes bibliographies and indexes

Papers and discussions presented at an international conference, organized by the Center for Research in Evaluation, Standards, and Student Testing of UCLA, and by NORC, held Apr. 26-28, 1987, at the Princeton Hyatt Regency Hotel

内容説明・目次

内容説明

Multilevel Analysis of Educational Data focuses on the principles and procedures used in the evaluation of educational progress. The selection first offers information on some applications of multilevel models to educational data, empirical Bayes methods, and a hierarchical item-response model for educational testing. Discussions focus on the interface between levels, group-level model for content elements, an application of empirical Bayes, validity generalization, improving law school validity studies, and summarizing evidence in randomized experiments on coaching. The text then takes a look at difficulties with Bayesian inference for random effects and multilevel aspects of varying parameters in structural models. The book elaborates on models for multilevel response variables with an application to growth curves and the issues and problems emerging from the application of multilevel models in British studies of school effectiveness, including enduring questions, two-level models, estimation and prediction, and econometric random coefficient modeling. The selection is a dependable reference for educators and researchers interested in the evaluation of educational progress.

目次

D.B. Rubin, Some Applications of Multilevel Models of Educational Data. H.I. Braun, Empirical Bayes Methods: A Tool for Exploratory Analysis. R.J. Mislevy and R.D. Bock, A Hierarchical Item-response Model for Educational Testing. C. Lewis, Difficulties with Bayesian Inference for Random Effects. B. Mutheen and A. Satorra, Multilevel Aspects of Varying Parameters in Structural Models. R.K. Tsutakawa--Discussant, Discussions of Papers by Mislevy and Bock, Mutheen and Satorra, and Lewis. H. Goldstein, Models for Multilevel Response Variables with an Application to Growth Curves. J. Gray, Multilevel Models: Issues and Problems Emerging from their Recent Application in British Students of School Effectiveness. P. McCullagh, Discussant, What Can Go Wrong with Iteratively Re-weighted Least Squares? A.S. Bryk and S.W. Raudenbush, Toward a More Appropriate Conceptualization of Research on School Effects: A Three-Level Hierarchical Linear Model. S.W. Raudenbush and A.S. Bryk, Quantitative Models for Estimating Teacher and School Effectiveness. L. Burstein, K.-S. Kim, and G. Delandshere, Multilevel Investigations of Systematically Varying Slopes: Issues, Alternatives, and Consequences. H. Swaminathan, -Discussant, Multilevel Data Analysis: A Discussion. M. Aitkin, Profile Predictive Likelihood for Random Effects in the Two-Level Model. N.T. Longford, Fisher Scoring Algorithm for Variance Component Analysis of Data with Multilevel Structure. P.W. Holland, Discussant, Discussion of Aitkin's and Longford's Paper. R.D. Bock, Addendum-Measurement of Human Variation: A Two-Stage Model.

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詳細情報

• NII書誌ID(NCID): BA06810018
• ISBN:
  • 0121088405
• LCCN: 88007577
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: San Diego ; Tokyo
• ページ数/冊数: xii, 354 p.
• 大きさ: 24 cm
• 分類:
  • LCC : LB2822.75
  • DC19 : 379.1/54
• 件名:
  • LCSH : Educational evaluation -- United States -- Statistical methods -- Congresses