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

Contenu
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.