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Product Description
Product Description
Describes the mathematical and logical foundations at a level which does not presume advanced mathematical or statistical skills, illustrating how to do factor analysis with several of the more popular packaged computer programmes.
About the Author
Jae-On Kim's research interests include political sociology, social inequality, and quantitative methods. Works under completion are: a monograph on sensitivity analysis dealing with problems of weak theory and data in social science research; articles dealing with theories of social mobility, contemporary mobility rates, and emergence and persistence of political party systems. His areas of teaching are political sociology, public opinion, social inequality, and advanced quantitative methods. He is chairing dissertations on the impact of social cleavage on nation building.
Dr. Charles Mueller, Professor of Psychology at the University of Hawaii at Manoa. Dr. Mueller is a Full Professor in social and clinical psychology in the Department of Psychology. Dr. Mueller's primary research interests focus on violent and disruptive behavior problems, mental health delivery systems and applications of social psychology. Dr. Mueller is a Co-Director of the Center for Cognitive Behavior Therapy (C-CBT) in the Department of Psychology at UH. Dr. Mueller's specialty focus is on ADHD, its relationship to other behavioral problems and ways to improve life-course outcomes for youth with ADHD. (For more information on C-CBT, please click here.) Dr. Mueller is the Director of the Research and Evaluation Training Program, a service-learning collaborative focused on improving child and adolescent mental health services through research and evaluation. (For more information on RET, please click here.) Dr. Mueller teaches and supervises students in the Social Psychology and the Clinical Studies Program. (For more information on Graduate Training, please click here.)
Dr. Charles Mueller, Professor of Psychology at the University of Hawaii at Manoa. Dr. Mueller is a Full Professor in social and clinical psychology in the Department of Psychology. Dr. Mueller's primary research interests focus on violent and disruptive behavior problems, mental health delivery systems and applications of social psychology. Dr. Mueller is a Co-Director of the Center for Cognitive Behavior Therapy (C-CBT) in the Department of Psychology at UH. Dr. Mueller's specialty focus is on ADHD, its relationship to other behavioral problems and ways to improve life-course outcomes for youth with ADHD. (For more information on C-CBT, please click here.) Dr. Mueller is the Director of the Research and Evaluation Training Program, a service-learning collaborative focused on improving child and adolescent mental health services through research and evaluation. (For more information on RET, please click here.) Dr. Mueller teaches and supervises students in the Social Psychology and the Clinical Studies Program. (For more information on Graduate Training, please click here.)
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In recent years, factor analysis has become accessible to a wider circle of researchers and students, primarily due to the development of high speed computers and the packaged computer programs (e.g., BMD, DATATEXT, OSIRIS, SAS AND APSS). Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Back Cover
In recent years, factor analysis has become accessible to a wider circle of researchers and students, primarily due to the development of high speed computers and the packaged computer programs (e.g., BMD, DATATEXT, OSIRIS, SAS AND APSS). Read the first page
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3 reviews
26 of 28 people found the following review helpful
How to not make sense of Factor Analysis.
11 Dec 2004
Format:Paperback|Amazon Verified Purchase
I am usually a big fan of the small green series of math books. This is the fourth one I have studied. Thanks to these books I successfully learned on my own Logit Regression, Cluster Analysis, and Discriminant Analysis. Now how about Factor Analysis? Well, it is the exception that confirms the rule.
Relative to the other books I have just mentioned, I found this one really poor. The authors spent just four short pages at the beginning of the book on introducing in (not so) plain English what Factor Analysis is. The problem is that their explanations are so poor, you really don't have a realistic clue of what it is. The authors then launch into an intense core mathematical section underlying the foundation of Factor Analysis. I found it byzantine at best. I attempted to replicate their calculations to develop an understanding of what they were doing. Doing so, I even found a mistake. More often then not, they did not flesh out a clear example of the calculations. So, you are left interpreting their formulas, and often not readily getting the same results they get. As indicated, once I clearly confirmed that our difference was due to a mistake. The rest of the time, I had no idea. Just applying their formulas did not seem to always work. In math, that is unsettling. Being able to replicate the answer 80% of the time does not cut it.
Also, the sequence of the material is sometimes awkward. On one page, you often have a table about one Factor model, but a diagram about a previous Factor model. So, the presentation of the material is confusing.
Eventually, I studied Factor Analysis from other sources (internet and textbooks on multivariate analysis). By now, I developed a fair understanding of it. Based on my experience, there are ways to teach Factor Analysis in a clear and understandable way. And, these two authors did not achieve this. Thus, you figure why I can't recommend this book.
Relative to the other books I have just mentioned, I found this one really poor. The authors spent just four short pages at the beginning of the book on introducing in (not so) plain English what Factor Analysis is. The problem is that their explanations are so poor, you really don't have a realistic clue of what it is. The authors then launch into an intense core mathematical section underlying the foundation of Factor Analysis. I found it byzantine at best. I attempted to replicate their calculations to develop an understanding of what they were doing. Doing so, I even found a mistake. More often then not, they did not flesh out a clear example of the calculations. So, you are left interpreting their formulas, and often not readily getting the same results they get. As indicated, once I clearly confirmed that our difference was due to a mistake. The rest of the time, I had no idea. Just applying their formulas did not seem to always work. In math, that is unsettling. Being able to replicate the answer 80% of the time does not cut it.
Also, the sequence of the material is sometimes awkward. On one page, you often have a table about one Factor model, but a diagram about a previous Factor model. So, the presentation of the material is confusing.
Eventually, I studied Factor Analysis from other sources (internet and textbooks on multivariate analysis). By now, I developed a fair understanding of it. Based on my experience, there are ways to teach Factor Analysis in a clear and understandable way. And, these two authors did not achieve this. Thus, you figure why I can't recommend this book.
19 of 25 people found the following review helpful
That's all Factor Analysis is about.
18 Aug 2001
Format:Paperback
This is an easy to read, gentle introduction to factor analysis. If you have struggled to find a readable resource on factor analysis then stop your search! I finished this book in an afternoon. I finally understand the basics of factor analysis. It's actually quite simple! You don't need more than an elementary understanding of expectation, variance, covariance and correlation.
The following adjectives describe this paper:
Well-written, Clear, Concise, Easy to understand, Non-mathematical (Basic statistics), Complete, Excellent diagrams
Do not hesitate to get this book!
I give it my highest recommendation!
2 of 2 people found the following review helpful
Few insights, but still usefull
14 Oct 2008
Format:Paperback
The introduction gives you some formulas that are not self-illustrative. The author fails to extract insights from it. Either you really do the math, or you will find it useless. Later the book improves a little but still is very superficial, doing references to the companion paper (another book of the same series) a lot of times. I recommend only as a very brief intro to the topic, and I also suggest one to do the math!
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