9780761919506-0761919503-Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research

Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research

ISBN-13: 9780761919506
ISBN-10: 0761919503
Edition: 1
Author: John Sullivan, Marjorie (Marg) A. Pett, Nancy R. Lackey
Publication date: 2003
Publisher: SAGE Publications, Inc
Format: Paperback 368 pages
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ISBN-13: 9780761919506
ISBN-10: 0761919503
Edition: 1
Author: John Sullivan, Marjorie (Marg) A. Pett, Nancy R. Lackey
Publication date: 2003
Publisher: SAGE Publications, Inc
Format: Paperback 368 pages

Summary

Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research (ISBN-13: 9780761919506 and ISBN-10: 0761919503), written by authors John Sullivan, Marjorie (Marg) A. Pett, Nancy R. Lackey, was published by SAGE Publications, Inc in 2003. With an overall rating of 3.5 stars, it's a notable title among other Applied (Research & Theory, Nursing, Research, Social Sciences, Education Theory, Schools & Teaching, Mathematics) books. You can easily purchase or rent Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research (Paperback, Used) from BooksRun, along with many other new and used Applied books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.34.

Description

Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research presents a straightforward explanation of the complex statistical procedures involved in factor analysis. Authors Marjorie A. Pett, Nancy M. Lackey, and John J. Sullivan provide a step-by-step approach to analyzing data using statistical computer packages like SPSS and SAS. Emphasizing the interrelationship between factor analysis and test construction, the authors examine numerous practical and theoretical decisions that must be made to efficiently run and accurately interpret the outcomes of these sophisticated computer programs.

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