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Diagnostic Measurement：Theory, Methods, and Applications
André A. Rupp, Jonathan Templin, and Robert A. Henson

The importance of the objective of this book cannot be overstated scientifically: to classify respondents based on different combinations of multiple qualitative attributes or skills underlying assessment items, with the goal of providing differentiated profiles for individualized feedback and intervention....It summarizes the current state-of-the-art of DCMs in a comprehensive and unified manner, starting from substantive theory via statistical methods and going to software applications. It is the first book of such a kind currently available on this topic. The intended audience...consists of professionals in the testing industry, professors, and students in educational and psychological sciences. All those who are interested in model-based classification and cluster analysis will benefit from it including, for example, applied statisticians and computer scientists. The book's text is conceptual rather than technical, and emphasizes the understanding and proper use of the discussed materials more than it elaborates on the mathematical or statistical theory....A valuable contribution to the literature on diagnostic measurement models, and this book is definitely worth the price. We can strongly recommend it, whether as a textbook for teaching or as a reference volume for research."

-Psychometrika


"Rupp, Templin, and Henson have contributed significantly to the advancement of educational and psychological measurement by providing a comprehensive and lucid treatment of this critical contemporary measurement issue. Particularly noteworthy is the clear voice leading the reader logically and thoughtfully through theory, methods, and applications; throughout, one is never in doubt that the authors' primary objectives are to promote rigorous intellectual dialogue about the current and future state of DCMs and to facilitate their meaningful and practical application."

-Kristen Huff, EdD, Senior Director, Research and Development, The College Board, New York, New York


"The readability of the book is excellent. It offers a good, basic-level exposition of the underpinnings of cognitive diagnostic assessment. It is particularly important for a book like this to be accessible to a broader audience beyond experts in cognitive diagnosis. The book covers cognitive foundations, makes connections with the most salient aspects of assessment validity, and includes detailed derivations and discussion of core cognitive diagnostic models. The examples are especially effective and clear, as is the tabulation of model parameters in the discussion of six core models and their relationship to the log-linear modeling framework. I would recommend this text for use in graduate seminars and expect to quote from it and cite it in professional presentations and papers. There is no other book available with comparable breadth."

-Lou DiBello, PhD, Associate Director, Learning Sciences Research Institute, University of Illinois-Chicago


"The coverage in this book is rich and clear. It addresses all of the current topics in diagnostic assessment. Each topic is explained in detail, along with examples and diagrams. The sequence of the materials is easy to follow. I love the Applications section, which illustrates how DCMs can be estimated with the software program Mplus."

-Yi-hsin Chen, PhD, Department of Educational Measurement and Research, University of South Florida


"The most authoritative, comprehensive source to date on every important aspect of diagnostic measurement, including theory, methods, and applications. The book includes recent advances in the unification of cognitive theory and psychometric methodology. It covers technical issues, such as model specification and parameter estimation, and extends the treatment to a variety of disciplines, from education to clinical and business settings. I was impressed by the reader-friendly presentation. The writing is clear and smooth, making this complex subject matter much more accessible and less intimidating than one might expect. The authors effectively use many examples, tables, and figures to explain difficult concepts. I would definitely consider this book for my professional use and my class use with doctoral psychometric students."

-Lihshing Leigh Wang, PhD, School of Education, University of Cincinnati


"I would strongly recommend this book to colleagues and students. It provides an interdisciplinary perspective on diagnostic testing; has a strong instructional focus, where concepts and statistical models are explained in a concise and clear way; and covers the entire range of testing, from item development to test score reporting."

-Mark J. Gierl, PhD, Director, Centre for Research in Applied Measurement and Evaluation, Department of Educational Psychology, University of Alberta, Canada


"It is particularly important for a book like this to be accessible to a broader audience beyond experts in cognitive diagnosis. The book covers cognitive foundations, makes connections with the most salient aspects of assessment validity, and includes detailed derivations and discussion of core cognitive diagnostic models. The examples are especially effective and clear, as is the tabulation of model parameters in the discussion of six core models and their relationship to the log-linear modeling framework. I would recommend this text for use in graduate seminars and expect to quote from it and cite it in professional presentations and papers. There is no other book available with comparable breadth."

-Lou DiBello, Associate Director, Learning Sciences Research Institute, University of Illinois-Chicago


"I like the way that the authors presented the materials in the book, including explanations, graphs, formulas, and detailed examples. The table of contents is clearly organized, and the tables of generic, model-specific, and method-specific notations are quite helpful, as is the glossary."

-Yi-hsin Chen, Department of Educational Measurement and Research, University of South Florida