000			03062cam a2200325 a 4500
999			_c946 _d946
001			2909428
003			OSt
005			20190830111614.0
008			880913s1989 caua bs 101 0 eng
010			_a 88007577
020			_a0121088405 (alk. paper)
040			_aDLC _cDLC _dDLC
043			_an-us---
050	0	0	_aLB2822.75 _b.M85 1989
082	0	0	_a370.727 BOC _223
245	0	0	_aMultilevel analysis of educational data / _cedited by R. Darrell Bock.
260			_aSan Diego : _bAcademic Press, _cc1989.
300			_axii, 354 p. : _bill. ; _c24 cm.
500			_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.
504			_aIncludes bibliographies and indexes.
505			_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.
650		0	_aEducational evaluation _zUnited States _xStatistical methods _xCongresses.
700	1		_aBock, R. Darrell.
710	2		_aUniversity of California, Los Angeles. _bCenter for Research in Evaluation, Standards, and Student Testing.
710	2		_aNORC (Organization)
856	4	1	_3Table of contents _uhttp://www.loc.gov/catdir/toc/els031/88007577.html
906			_a7 _bcbc _corignew _d1 _eocip _f19 _gy-gencatlg
942			_2ddc _cSTS