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All India Institute of Speech and Hearing, Mysuru
(An Autonomous institute Under Ministry of Health and Family Welfare, Government of India.)

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Multilevel analysis of educational data / edited by R. Darrell Bock.

Contributor(s): Material type: TextPublication details: San Diego : Academic Press, c1989.Description: xii, 354 p. : ill. ; 24 cmISBN:
  • 0121088405 (alk. paper)
Subject(s): DDC classification:
  • 370.727 BOC 23
LOC classification:
  • LB2822.75 .M85 1989
Online resources:
Contents:
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. Muthéen and A. Satorra, Multilevel Aspects of Varying Parameters in Structural Models. R.K. Tsutakawa--Discussant, Discussions of Papers by Mislevy and Bock, Muthéen 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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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.

Includes bibliographies and indexes.

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. Muthéen and A. Satorra, Multilevel Aspects of Varying Parameters in Structural Models.

R.K. Tsutakawa--Discussant, Discussions of Papers by Mislevy and Bock, Muthéen 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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