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'I found the author's coverage of confirmatory factor analysis (CFA) both clear and accurate. I thought the explanations were pitched at the right level of mathematical and statistical complexity for the intended audience. In fact, the coverage of certain topics - such as the problem of empirical under-identification and the computation of determinants and their functional significance in the assessment of global model fit - are among the best I've read. This is a book that students will be glad to have on their shelves when they turn to their own data later on.' - Christopher M. Federico, Department of Psychology and Department of Political Science, University of Minnesota
'Compared to other books, this book offers a lot of details which would facilitate better understanding of confirmatory factor analysis (CFA). The author is very good at explaining a lot of processes by examples, and includes clears figures and tables. I definitely recommend it to instructors who teach a course on CFA, especially for students who are not in quantitative psychology.' - Ke-Hai Yuan, Department of Psychology, University of Notre Dame
Timothy A. Brown, PhD, Department of Psychology, Boston University