This book helps readers apply testing & measurement theories Featuring 22 self-standing modules instructors can pick & choose the ones that are most appropriate for their course Each module features an overview of a measurement issue & a step-by-step application of that theory Best practices provide recommendations for ensuring the appropriate application of the theory Practical questions help students assess their understanding of the topic while the examples allow them to apply the material using real data Two cases in each module depict typical dilemmas faced when applying measurement theory followed by Questions to Ponder to encourage critical examination of the issues noted in the cases Each module contains exercises some of which require no computer access while others involve the use of SPSS to solve the problem The book's website houses the accompanying data sets & more The book also features suggested readings a glossary of the key terms & a continuing exercise that incorporates many of the steps in the development of a measure of typical performance Updated throughout to reflect recent changes in the field the new edition also features --A new co-author Michael Zickar who updated the advanced topics & added the new module on generalizability theory (Module 22) -Expanded coverage of reliability (Modules 5 & 6) & exploratory & confirmatory factor analysis (Modules 18 & 19) to help readers interpret results presented in journal articles -Expanded Web Resources Instructors will now find suggested answers to the book's questions & exercises; detailed worked solutions to the exercises; & Power Point slides Students & instructors can access the SPSS data sets; additional exercises; the glossary; & website references that are helpful in understanding psychometric concepts Part 1 provides an introduction to measurement theory & specs for scaling & testing & a review of statistics Part 2 then progresses through practical issues related to text reliability validation meta-analysis & bias Part 3 reviews practical issues related to text construction such as the development of measures of maximal performance CTT item analysis test scoring developing measures of typical performance & issues related to response styles & guessing The book concludes with advanced topics such as multiple regression exploratory & confirmatory factor analysis item response theory (IRT) IRT applications including computer adaptive testing & differential item functioning & generalizability theory Ideal as a text for any psychometrics testing & measurement or multivariate statistics course taught in psychology education marketing & management professional researchers in need of a quick refresher on applying measurement theory will also find this an invaluable reference