Fr. 170.00

Assessing Measurement Invariance for Applied Research

English · Hardback

Shipping usually within 3 to 5 weeks

Description

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This user-friendly guide shows psychometricians, gradiate students, and social science researchers how to assess measurement invariance using computer programs, statistical methods, and real data.. It explains to those studying psychology, public policy, marketing, or management how to find out if their measures are invariant across groups.

List of contents










1. Introduction; 2. Observed Score Methods; 3. Item Response Theory; 4. Methods Based on Item Response Theory; 5. Confirmatory Factor Analysis; 6. Methods Based on Confirmatory Factor Analysis; Appendix; Author Index; Subject Index.

About the author

Craig S. Wells is a professor in the Research, Educational Measurement, and Psychometrics Program at the University of Massachusetts Amherst, where he teaches courses on statistics and psychometrics. He co-edited Educational Measurement: From Foundations to Future (2016) and was President of the Northeastern Educational Research Association in 2017.

Summary

This user-friendly guide shows psychometricians, gradiate students, and social science researchers how to assess measurement invariance using computer programs, statistical methods, and real data.. It explains to those studying psychology, public policy, marketing, or management how to find out if their measures are invariant across groups.

Additional text

'The author certainly delivers on the promise of its title in providing comprehensive, yet accessible, guidance to those tasked with evaluating invariance in practice. It presents cogent and succinct descriptions of advanced measurement concepts, connecting the theory of these ideas to practical applications using numerous examples and data files.' April. L. Zenisky, Research Associate Professor of Educational Assessment, University of Massachusetts Amherst, USA

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