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Tests & Measurement For People Who (Think They) Hate Tests & Measurement

Neil J. Salkind guides readers through the fundamentals of tests and measurement, using the conversational writing style and straightforward presentation techniques that have made his book Statistics for People Who (Think They) Hate Statistics an international bestseller. He provides an overview of the design of tests, the use of tests, and some of the basic social, political, and legal issues that the process of testing involves. The Second Edition includes more opportunities to practice, and end-of-chapter sections that apply the material to everyday concerns regarding the assessment of behavior.

Paperback: 424 pages

Publisher: SAGE Publications, Inc; 2nd ed. edition (January 17, 2012)

Language: English

ISBN-10: 1412989752

ISBN-13: 978-1412989756

Product Dimensions: 6.9 x 0.9 x 9.9 inches

Shipping Weight: 1.6 pounds (View shipping rates and policies)

Average Customer Review: 4.1 out of 5 stars  See all reviews (26 customer reviews)

Best Sellers Rank: #39,877 in Books (See Top 100 in Books) #66 in Books > Politics & Social Sciences > Social Sciences > Research #87 in Books > Education & Teaching > Schools & Teaching > Education Theory > Assessment #138 in Books > Textbooks > Science & Mathematics > Mathematics > Statistics

This book is pretty basic and would be best for undergrads or masters students who have little or no background in statistics but need to know a little something about testing. Salkind's writing style is informal and inviting and thus reassuring for people who "Think they hate" the subject, but it thereby glosses over a lot of details. I teach doctoral level students but have taught this material to advanced undergraduates in the past. Spring 2008 I used it as an supplement to Allen & Yen and my own course notes. It turned out that the ones who I selected this book for (applied nontechnical types such as school psychologists) pretty much knew everything in this book already before starting the class, while the more technically savvy ones could infer it from the main text. For doctoral students, learning the psychometrics "for real" i.e., with equations and real data to work with, is essential. While they don't always like it, it's important if they are going to be building scales or using them in a critical way. (In my view, hiding all the details of a mathematical subject like test theory does the students no favors no matter what their level, but I understand the difference between student levels and demands of different programs.) There is a bit of classical test theory and classical item analysis and a lot of words about various item formats, ranging from constructed response, varieties of multiple choice, to interviews, some of which are quite sensible and others seem strange to me as a psychometrician, e.g., the author's preference for matching items, which must entail a substantial degree of local dependence and for which there is, to my knowledge, no straightforward model-based analysis.

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