02820cam a2200277 a 45000010008000000030004000080050017000120080041000290100017000700200028000870400018001150430012001330500025001450820020001702450074001902600041002643000034003055000235003395040041005745051620006156500076022357000022023117100111023337100024024448560074024682909428OSt20190830111614.0880913s1989    caua     bs   101 0 eng    a   88007577   a0121088405 (alk. paper)  aDLCcDLCdDLC  an-us---00aLB2822.75b.M85 198900a370.727 BOC22300aMultilevel analysis of educational data /cedited by R. Darrell Bock.  aSan Diego :bAcademic Press,cc1989.  axii, 354 p. :bill. ;c24 cm.  aPapers 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.  aIncludes bibliographies and indexes.  aD.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. 0aEducational evaluationzUnited StatesxStatistical methodsxCongresses.1 aBock, R. Darrell.2 aUniversity of California, Los Angeles.bCenter for Research in Evaluation, Standards, and Student Testing.2 aNORC (Organization)413Table of contentsuhttp://www.loc.gov/catdir/toc/els031/88007577.html