Grounded in current knowledge and professional practice, this book provides up-to-date coverage of psychometric theory, methods, and interpretation of results. Essential topics include measurement and statistical concepts, s...

Buy Now From Amazon

Product Review

Grounded in current knowledge and professional practice, this book provides up-to-date coverage of psychometric theory, methods, and interpretation of results. Essential topics include measurement and statistical concepts, scaling models, test design and development, reliability, validity, factor analysis, item response theory, and generalizability theory. Also addressed are norming and test equating, topics not typically covered in traditional psychometrics texts. Examples drawn from a dataset on intelligence testing are used throughout the book, elucidating the assumptions underlying particular methods and providing SPSS (or alternative) syntax for conducting analyses. The companion website presents datasets for all examples as well as PowerPoint slides of figures and key concepts. Pedagogical features include equation boxes with explanations of statistical notation, and end-of-chapter glossaries. The Appendix offers extensions of the topical chapters with example source code from SAS, SPSS, IRTPRO, BILOG-MG, PARSCALE, TESTFACT, and DIMTEST.

Similar Products

Qualitative Inquiry and Research Design: Choosing Among Five ApproachesDiscovering Statistics Using IBM SPSS StatisticsAlgorithms to Live By: The Computer Science of Human DecisionsPsychometrics: An IntroductionLongitudinal Analysis: Modeling Within-Person Fluctuation and Change (Multivariate Applications Series)Higher-Order Growth Curves and Mixture Modeling with Mplus: A Practical Guide (Multivariate Applications Series)Introduction to Mediation, Moderation and Conditional Process Analysis: A Regression Based Approach (Methodology in the Social Sciences)