By R. Michael Furr
From a standpoint that specializes in the which means, goal, and implications of key psychometric techniques, rules, and techniques, Psychometrics: An Introduction, moment variation (by R. Michael Furr and Verne R. Bacharach) introduces the topic and learn of psychometrics. It addresses those issues at a degree that's deeper and extra targeted than what's present in ordinary introductory undergraduate trying out and dimension texts, yet is far extra intuitive than what's commonly present in the extra technical courses meant for complicated graduate classes. by means of emphasizing techniques over mathematical proofs and by means of targeting functional value, this booklet assists scholars in appreciating not only how dimension difficulties should be addressed, yet why it will be significant to handle them.
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Extra resources for Psychometrics: An Introduction
Sample text
It also discusses the use of CFA to evaluate reliability and convergent/discriminant validity evidence. As a side note, the chapters舗 overview of the logic and interpretation of CFA can be extended to other modeling procedures, including path analysis and structural equation modeling. Chapter 13 (Generalizability Theory): This revised chapter has three main additions. First, it provides much greater discussion of the meaning and interpretation of variance components. Second, it has a much deepened discussion of the difference between random effects and fixed effects, particularly in terms of their estimation and interpretation.
Third, and most substantially, it has an extensive new section that focuses on the 2001 University of California Report on the SAT as a real-life example of an examination of potential predictive bias. Chapter 12 (Confirmatory Factor Analysis): This chapter is entirely new to this edition. Several reviewers suggested that the book would benefit from discussion of CFA, given its important and growing role in psychometrics. I agreed with this suggestion, and I am happy to offer what舗s hopefully an accessible and intuitive introduction to the topic.
The data sets are used alongside algebraic proofs as a way of underscoring the conceptual meaning of fundamental psychometric concepts. In addition, we have departed from the usual practice of having a separate chapter devoted to statistics. Instead, we introduce statistical concepts throughout the text as needed, and we present them as tools to help solve particular psychometric problems. For example, we discuss factor analysis initially in the context of exploring the dimensionality of a test.
