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.
This user-friendly guide illustrates how to assess measurement invariance using computer programs, statistical methods, and real data.
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.
'Measurement invariance has become a key concept in social
sciences. Craig S. Well's book offers a comprehensive overview of
MI approaches as well as practical examples, which will allow the
reader to carry out measurement invariance studies in different
contexts.' Paula Elosua Oliden, Professor of Psychometrics,
University of the Basque Country, Spain
'The text provides a concise and clear treatment of the numerous
approaches used to assess measurement invariance. With
practitioners in mind, the examples with computer syntax and output
support your ability to conduct and correctly interpret these
analyses. Practitioners and students will benefit from reading this
book.' Sara J. Finney, Professor of Graduate Psychology and
Associate Director of the Center for Assessment and Research
Studies, James Madison University, USA
'This volume in the International Test Commission series is a
hands-on book for applied researchers. It does a good job in
instructing readers to detect and interpret measurement invariance,
an important topic in developing measures that are fair and
appropriate for all.' Kurt F. Geisinger, W.C. Meierhenry
Distinguished University Professor of Educational Psychology and
Director of the Buros Center for Testing, University of
Nebraska-Lincoln, USA
'This book is clear, well structured, practice-oriented, and
grounded on theory and methodology. It will be a great help for
students and researchers in the social sciences, education, and
health sciences. The complementary website is also very useful for
applying the techniques presented in the book. In short, it is a
must-read.' José Muñiz, Professor of Psychometrics, University of
Nebrija, Spain
'This is a comprehensive pedagogical guide to assessing measurement
invariance and has wide appeal to researchers, practitioners, and
graduate students. The book reads as if written by a seasoned
teacher and I especially appreciate the data sets and computer
software syntax, which allow you to practice the methods
described.' Jennifer Randall, Associate Dean for Academic Affairs
and Director of Evaluation for the Center for Educational
Assessment, University of Massachusetts Amherst, USA
'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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