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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12 of 12 people found the following review helpful:
5.0 out of 5 stars
A superb book on factor analysis,
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This review is from: Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research (Paperback)
This is a great book for those who are new to factor analysis. Although written from the perspective of a health care researcher, it's easily accessible to folks in other disciplines (I'm in educational leadership). I especially appreciated the step-by-step process for doing factor analysis from beginning to end, along with thorough explanations of various choices (and why you'd make them) along the way.
5 of 5 people found the following review helpful:
5.0 out of 5 stars
This book is awesome!,
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This review is from: Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research (Paperback)
This is the best book I've found on factor analysis - I am not mathematically inclined, but I do want to understand "the sense" of factor analysis. This book is detailed, clear, with concise summaries as well as detailed explanations of the matrix algebra and math of factor analyses. It contains clear and useful diagrams. I have checked out several other books on factor analysis - this is the one that finally explained the subject to me.
2 of 2 people found the following review helpful:
5.0 out of 5 stars
Valuable Reference,
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This review is from: Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research (Paperback)
I have used this book for over two years now. I keep it in my small "library" of books and articles on factor analysis. I am not a statistician, but I do use factor analysis regularly in my research. The authors provide as good an explanation of the process and how to use the method as any writers. The reason I give it a top rating is its attention to practical issues that the statistician would not consider but are essential in the practical application of factor analysis to understanding data. I recommend adding the book to your library!
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Inside This Book
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First Sentence:
Not all science is hypothesis testing. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
concerns about genetic testing, estimated factor scores, factor structure matrix, considering undergoing genetic testing, item communalities, future life decisions, highest absolute loading, factor pattern matrix, image factoring, factor extraction method, residual correlation matrix, extracted factors, squared factor loadings, principal axis factoring, given principal component, reproduced correlations, communality values, original correlation matrix, fear ambiguity, partial correlation matrix, communality estimates, factor analysis solution, factor score coefficients, regarding genetic testing, sampling adequacy Key Phrases - Capitalized Phrases (CAPs): (learn more)
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Not all science is hypothesis testing. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
concerns about genetic testing, estimated factor scores, factor structure matrix, considering undergoing genetic testing, item communalities, future life decisions, highest absolute loading, factor pattern matrix, image factoring, factor extraction method, residual correlation matrix, extracted factors, squared factor loadings, principal axis factoring, given principal component, reproduced correlations, communality values, original correlation matrix, fear ambiguity, partial correlation matrix, communality estimates, factor analysis solution, factor score coefficients, regarding genetic testing, sampling adequacy Key Phrases - Capitalized Phrases (CAPs): (learn more)
Direct Oblimin, Variance Cumulative, College Student Hassles Scale New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 7
books:
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1
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cites this book:
- Thank You (Small Wonders Series) by Adventure Publications in Front Matter
- Factor Analysis by Richard L. Gorsuch on page 3
- Educational Psychology by Glenn Myers Blair in Back Matter
- Educational Psychology by Robert J. Sternberg in Back Matter
- Thank You (Greetings Minibooks) by Emma Fox in Front Matter
See all 7 books this book cites
- An R and S-Plus® Companion to Multivariate Analysis (Springer Texts in Statistics) by Brian S. Everitt in Back Matter
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