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"[Introduction to Psychometric Theory] does a good job of 'mentoring' you from study design all the way to analysing and interpreting your data. ... The book easily passes the 'Did I wish I had used this book during my PhD?' test, and some of the more advanced chapters have dropped several pennies for me." - Chris Beeley in The Psychologist "Introduction focuses on measurement of unobserved constructs and builds on latent variable modeling to produce a refreshingly new and integrative presentation of psychometric theory. Indeed, the latent variable approach serves well to integrate classical test theory, generalizability theory, and item response theory. It is a must read (if textbooks can be so described!) for scholars as well as students of psychometric theory and practice." - Richard J. Shavelson, Stanford University, USA "The market is ... begging for this book...The existing texts are either too dated [or] too inaccessible ... The authors ... capture critical intellectual developments of the last decade ... they effectively exploit computational advances to put all of this in an applied context, thereby grounding the material in real world examples. The quality of the scholarship ... is simply first-rate... The coverage is right on...The writing is superb and accessible... The ability to work through each example using the authors' datasets is invaluable ...I would ... adopt this text and use it to reinvigorate my own course. It promises to provide a great opportunity to refresh the way we teach this material." - Scott L. Thomas, Claremont Graduate University, USA "This text will make a unique and important contribution to the field. It is extremely well-written. ... An excellent text for a ... course in psychometric theory. ... The references are current, reflecting the most recent work in classical test theory. The software applications ... are a unique and powerful asset." - Jennifer Rose, Wesleyan University, USA "I ... congratulate the authors on tackling the complex area of psychometric theory ... so well and putting so much effort into making ... their book ... accessible to a wide audience. ... I ... would certainly adopt this book ... [for] a graduate-level course ... in educational and psychological measurement. ... One of the strengths ... is the provision of code in the text as well as ... data files and codes on the website. ... What makes the book most unique is the unified treatment of multiple latent-variable methods." - Andre A. Rupp, University of Maryland, USA " It was very easy to read ... anyone would be able to read this and understand [it]... the examples were very useful. ... Most [competing] books have not been revised or can be challenging... the strength of this book is its breadth." - Robert Henson, The University of North Carolina at Greensboro, USA

Über den Autor und weitere Mitwirkende

Tenko Raykov is Professor of Measurement and Quantitative Methods at Michigan State University. He received his Ph.D. in Mathematical Psychology from Humboldt University in Berlin. He teaches courses in psychometric theory, multivariate statistics, latent variable and structural equation modeling, and multilevel modeling at Michigan State University. He serves on the editorial board of Psychological Methods, Structural Equation Modeling, the British Journal of Mathematical and Statistical Psychology, and Multivariate Behavioral Research. George A. Marcoulides is Professor of Statistics at the University of California - Riverside. He is the Series Editor of the Quantitative Methodology Series, Editor of the Structural Equation Modeling journal, and on the editorial board of several other measurement and statistics journals.

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2 von 2 Kunden fanden die folgende Rezension hilfreich
Very Technical 26. September 2012
Von Robert - Veröffentlicht auf
Format: Gebundene Ausgabe Verifizierter Kauf
I used this text in a test and measurement class and was a little disappointed because the book is extremely technical. It reads like a math book. If you do not have a VERY strong background in matrix algebra and multivariate statistics (CFA and SEM in particular), you will probably not find this book very useful. The examples are provided in Mplus, which is helpful if you are familiar with the program. If you are not proficient in Mplus, you will probably struggle. Also, since it is a first edition, there are a number of small mistakes in some of the equations. Thus, even if you are mathematically savvy, you will have to keep double-checking the formulas to make sure they are accurate. If you do use this book, I would urge you to email the authors about any concerns or issues you experience because I'm sure they would appreciate the feedback for future editions.
1 von 1 Kunden fanden die folgende Rezension hilfreich
Great book 26. Oktober 2013
Von Willem Van den Broeck - Veröffentlicht auf
Format: Kindle Edition
This book covers a lot of essential stuff in psychometry. It is at the right level for most beginning researchers, not too technical, but with enough depth. It gives a comprehensive view on both classical test tteory and Item Respons Theory (IRT). It shows what both traditions have in common and what is unique for each. It gives a good background in the underlying latent trait models. For mathematically well-versed readers, the text is rather verbose, but probably this is advantageous for an introductory text.
1 von 1 Kunden fanden die folgende Rezension hilfreich
On the Whole, a Good Reference 18. Mai 2013
Von Kevin S. Gray - Veröffentlicht auf
Format: Gebundene Ausgabe Verifizierter Kauf
This book might be a little advanced for those entirely new to the subject or with only limited statistical background. However, its coverage is excellent and well-organized, and it will be useful for practitioners. On the whole I've found it a good reference.
1 von 1 Kunden fanden die folgende Rezension hilfreich
Could be better 19. März 2013
Von greenlionplanck - Veröffentlicht auf
Format: Gebundene Ausgabe Verifizierter Kauf
Perhaps it is the fault of the instructor, but this book is far above our graduate year 2 level of comprehension in many parts. Lots of statistical dissection, and a focus on "m-plus." An incredibly important domain distilled to dullness.
0 von 1 Kunden fanden die folgende Rezension hilfreich
Meh, not worth it. 14. Mai 2014
Von CM - Veröffentlicht auf
Format: Gebundene Ausgabe Verifizierter Kauf
I'm wishing I hadn't bothered buying this book, I stopped reading it after Chapter 3. It's incredibly apparent that it wasn't written by native English speakers, for one thing, but it also lacks clarity where desired, while repeating sentences needlessly again and again (an entire paragraph will just be the same sentence rephrased 4-5 times!). My professor even questioned why he had us buy the book today during class (uh, yeah, wish he had questioned this BEFORE I bought it...), it's fairly useless. Surely there's a better Psychometric textbook out there?
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