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Introduction to Factor Analysis: What It Is and How To Do It (Quantitative Applications in the Social Sciences)
 
 
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Introduction to Factor Analysis: What It Is and How To Do It (Quantitative Applications in the Social Sciences) [Paperback]

Jae-On Kim (Author), Charles W. Mueller (Author)
3.0 out of 5 stars  See all reviews (3 customer reviews)

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Book Description

0803911653 978-0803911659 November 1, 1978

Describes the mathematical and logical foundations at a level that does not presume advanced mathematical or statistical skills. It illustrates how to do factor analysis with several of the more popular packaged computer programs.


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Product Details

  • Paperback: 80 pages
  • Publisher: Sage Publications, Inc (November 1, 1978)
  • Language: English
  • ISBN-10: 0803911653
  • ISBN-13: 978-0803911659
  • Product Dimensions: 8.5 x 5.4 x 0.2 inches
  • Shipping Weight: 2.4 ounces (View shipping rates and policies)
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #94,515 in Books (See Top 100 in Books)

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25 of 27 people found the following review helpful:
1.0 out of 5 stars How to not make sense of Factor Analysis., December 11, 2004
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This review is from: Introduction to Factor Analysis: What It Is and How To Do It (Quantitative Applications in the Social Sciences) (Paperback)
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.
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19 of 25 people found the following review helpful:
5.0 out of 5 stars That's all Factor Analysis is about., August 18, 2001
By 
Darran Caputo (Levittown, New York United States) - See all my reviews
This review is from: Introduction to Factor Analysis: What It Is and How To Do It (Quantitative Applications in the Social Sciences) (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!

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2 of 2 people found the following review helpful:
3.0 out of 5 stars Few insights, but still usefull, October 14, 2008
This review is from: Introduction to Factor Analysis: What It Is and How To Do It (Quantitative Applications in the Social Sciences) (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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Inside This Book (learn more)
First Sentence:
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
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
adjusted correlation matrix, initial factoring, factorial causation, factorial complexity, factor analysis program, underlying factor structure, oblique rotation, pattern matrix, underlying causal structure, maximum likelihood solution, source variables, observed variables, orthogonal case, linear weights, orthogonal rotation, factor loadings
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Direct Oblimin, Single Correlation Matrix, University Paper
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