Generalizability Theory

Generalizability theory is an area of statistics with application to measurement in psychology and education. The main audience is measurement practitioners and graduate students in the behavorial and social sciences. Professor Brennan has been President of the National Council on Measurement in Education and has received awards for outstanding technical contributions to educational measurement.

This book provides the most comprehensive and up-to-date treatment of this theory Professor Brennan is well known in the area of educational testing and the winner of a book award from the American Educational Research Association

Autorentext

Michael J. Kolen is a Professor of Educational Measurement at the University of Iowa. Robert L. Brennan is E. F. Lindquist Chair in Measurement and Testing and Director of the Center for Advanced Studies in Measurement and Assessment at the University of Iowa. Both authors are acknowledged experts on test equating, scaling and linking, they have authored numerous publications on these subjects, consult regularly on these topics and they have taught many workshops and courses on equating. Both authors have been President of the National Council on Measurement in Education (NCME), have received an NCME award for Career Contributions to Educational Measurement and have received an NCME award for Outstanding Technical Contributions to Educational Measurement following publication of the first edition of this book. Professor Brennan authored Generalizability Theory published by Springer-Verlag.

Inhalt
1 Introduction.- 2 Single-Facet Designs.- 3 Multifacet Universes of Admissible Observations and G Study Designs.- 4 Multifacet Universes of Generalization and D Study Designs.- 5 Advanced Topics in Univariate Generalizability Theory.- 6 Variability of Statistics in Generalizability Theory.- 7 Unbalanced Random Effects Designs.- 8 Unbalanced Random Effects DesignsExamples.- 9 Multivariate G Studies.- 10 Multivariate D Studies.- 11 Multivariate Unbalanced Designs.- 12 Multivariate Regressed Scores.- Appendices.- A. Degrees of Freedom and Sums of Squares for Selected Balanced Designs.- B. Expected Mean Squares and Estimators of Random Effects Variance Components for Selected Balanced Designs.- C. Matrix Procedures for Estimating Variance Components and Their Variability.- D. Table for Simplified Use of Satterthwaite's Procedure.- E. Formulas for Selected Unbalanced Random Effects Designs.- F. Mini-Manual for GENOVA.- G. urGENOVA.- H. mGENOVA.- I. Answers to Selected Exercises.- References.- Author Index.