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Psychometric Theory [Hardcover]

Jum Nunnally (Author), Ira Bernstein (Author)
3.2 out of 5 stars  See all reviews (10 customer reviews)


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Book Description

007047849X 978-0070478497 January 1, 1994 3
The classic text is Psychometric Theory. Like the previous edition, this text is designed as a comprehensive text in measurement for researchers and for use in graduate courses in psychology, education and areas of business such as management and marketing. It is intended to consider the broad measurement problems that arise in these areas and is written for a reader who needs only a basic background in statistics to comprehend the material. It also combines classical procedures that explain variance with modern inferential procedures.

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Product Details

  • Hardcover: 736 pages
  • Publisher: McGraw-Hill Humanities/Social Sciences/Languages; 3 edition (January 1, 1994)
  • Language: English
  • ISBN-10: 007047849X
  • ISBN-13: 978-0070478497
  • Product Dimensions: 9.3 x 7.5 x 1.3 inches
  • Shipping Weight: 3 pounds
  • Average Customer Review: 3.2 out of 5 stars  See all reviews (10 customer reviews)
  • Amazon Best Sellers Rank: #160,956 in Books (See Top 100 in Books)

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Customer Reviews

10 Reviews
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Average Customer Review
3.2 out of 5 stars (10 customer reviews)
 
 
 
 
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20 of 23 people found the following review helpful:
3.0 out of 5 stars get the 2nd edition, February 5, 2005
This review is from: Psychometric Theory (Hardcover)
I am in a management PhD program and we have to read this book for our required class in psychometric theory. I totally agree with one of the other reviewers that almost no term is clearly defined by Nunnally and Bernstein in this 3rd edition. The book goes on and on and on talking about validity, reliability, scaling, ... without defining any single term in a concise manner. It is very frustrating!
So, my suggestion for everyone is to get the 2nd edition. I read it and was happily surprised. Nunnally is great, Ira Bernstein messed the 3rd edition up (Nunnally died a while ago and Bernstein was responsible for the writing of this edition). The previous edition is much, much shorter and has better organized chapters that go right to the point (well, relatively speaking ). In addition, I recommend several short Sage books (e.g., factor analysis from Kim and Mueller), which are much clearer.
In any case, this book or better the 2nd edition, is a must have for any social science researcher (or wanna be researcher ).
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14 of 16 people found the following review helpful:
5.0 out of 5 stars Indispensable, March 19, 2002
By 
swingreen "swingreen" (Brooksville, FL United States) - See all my reviews
The thing I most admire about Nunnally is how well his work holds up even decades after the book was first written, and Nunnally's own death. Although academic works such as this typically have a half life of two or three years, it seems that Nunnally may be even more useful now than it was twenty-five years ago. There are other books that address the same type of material, but they all cite Nunnally, and none have, as yet, effectively replaced him.
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18 of 24 people found the following review helpful:
4.0 out of 5 stars A great guideline for Tests, March 1, 1999
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This review is from: Psychometric Theory (Hardcover)
It's a very concise book and describes the theory in a very didatic way. The only problem of the book is the little enphasis to the Item Response theory (IRT).
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
discriminal differences, multicategory items, categorical modeling, focal group members, munality estimates, common factor solution, decisional separability, scaling people, communality estimation, general recognition theory, perceptual separability, multiple group method, multiple group solution, fallible scores, discriminal dispersions, scaling stimuli, restrictive time limit, guessing model, randomly parallel tests, multiple group analysis, perceptual independence, factor score estimates, variation among judges, numerical fluency, methodological heterogeneity
Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Suggested Additional Readings, Psychological Bulletin, Erlbaum Associates, Academic Press, American Psychological Association, Civil Rights Act, Monte Carlo, Multivariate Behavioral Research, Senator Hong, Senator Smith, African Americans, Democratic Republican Total Democratic, Gubernatorial Senatorial, Pattern Structure Variable, Sage Publications, United States, University of Texas, Vegetable Vegetable
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