PDF Ebook Tests & Measurement for People Who (Think They) Hate Tests & Measurement, by Neil J. Salkind
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Tests & Measurement for People Who (Think They) Hate Tests & Measurement, by Neil J. Salkind
PDF Ebook Tests & Measurement for People Who (Think They) Hate Tests & Measurement, by Neil J. Salkind
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In this text, author Neil J. Salkind guides readers through the fundamentals of tests and measurement, using the conversational writing style and straightforward presentation techniques that has made his book Statistics for People Who (Think They) Hate Statistics a bestseller. Tests & Measurement For People Who (Think They) Hate Tests & Measurement provides an overview of the many different facets of testing including the design and use of tests and some of the basic social, political, and legal issues that the process of testing involves. This engaging text introduces students to advanced issues and explains why those topics are important.
- Sales Rank: #567236 in Books
- Brand: Brand: Sage Publications, Inc
- Published on: 2005-09-28
- Original language: English
- Number of items: 1
- Dimensions: .82" h x 7.06" w x 10.03" l, 1.54 pounds
- Binding: Paperback
- 400 pages
- Used Book in Good Condition
Review
"What is amazing about this text is how it takes some very difficult material (particularly around reliability and validity, z-scores, etc.) and makes it easily understandable by an undergraduate student. Just as in his statistics book, Salkind has a genius for conveying difficult material in everyday language that engages the reader. This is the perfect text for any research methods instructor who has struggled with making testing and measurement concepts both understandable and FUN." -- John Q. Hodges, University of Missouri, Columbia "The distinguishing factor with this book is the illustrative material. The "Tech Talk" boxes are helpful for students to quickly get the grasp of a concept and find it to review later. The new vocabulary in tests and measurements is often an obstacle, and these boxes help tremendously.... If there is a tests and measurements book that can enlighten and entertain, this book is the one." -- Joseph Matthews, Brigham Young University "The author does a wonderful job conveying concepts clearly and with panache. Undergraduate audiences will be able to follow but not be bored. The book has a strong, consistent voice and I really enjoyed this and felt well cared for as a reader. The discussion on reliability and validity, for example, is better integrated and therefore more useful than any methods text I have read.... It's true. I hate tests but I liked this book." -- Christopher P. Bettinger, San Francisco State University "Salkind's book may not make test-taking painless, but it certainly makes learning about tests and measurements less painful. The book is a simple, informative, and easy-to-read introduction to all the basics of what seemed previously to be a difficult subject." -- Denise von Herrmann, The University of Southern Mississippi"
About the Author
Neil J. Salkind is Professor Emeritus at the University of Kansas where he taught in the Department of Educational Psychology for more than 35 years. His interest is in writing about statistics and research methods in an informative, non-intimidating and non-condescending way and is also the author of Statistics for People Who (Think They) Hate Statistics, Statistics for People Who (Think They) Hate Statistics (the Excel Edition), Excel Statistics: A Quick Guide, Encyclopedia of Research Design, and 100 Questions (and Answers) about Research Methods, all with SAGE.
Most helpful customer reviews
0 of 0 people found the following review helpful.
College headliner missing liner
By CURL
This book cake in time but after just a few months use the pages were already falling out. I purchased this as a brand new book
0 of 0 people found the following review helpful.
Easy
By BrieKat
Self-explanatory and easy to follow.
8 of 8 people found the following review helpful.
Pretty basic
By JVerkuilen
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. The presentation here is rather laundry-list and could benefit from being more systematic, but again, that might be too hard for the target audience. There is also some nice discussion about testing ethics and the like, much of which could be given to students by having them read the relevant APA/AERA standards documents, though of course at the cost of likely boredom on their part.
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