Exploratory Factor Analysis
Námskeið
- SÁL308G Tölfræði III.
Ensk lýsing:
Exploratory Factor Analysis (EFA) has played a major role in research conducted in the social sciences for more than 100 years, dating back to the pioneering work of Spearman on mental abilities. Since that time, EFA has become one of the most commonly used quantitative methods in many of the social sciences, including psychology, business, sociology, education, political science, and communications.
To a lesser extent, it has also been utilized within the physical and biological sciences. Despite its long and widespread usage in many domains, numerous aspects of the underlying theory and application of EFA are poorly understood by researchers. Indeed, perhaps no widely used quantitative method requires more decisions on the part of a researcher and offers as wide an array of procedural options as EFA does.
This book provides a non-mathematical introduction to the underlying theory of EFA and reviews the key decisions that must be made in its implementation. Among the issues discussed are the use of confirmatory versus exploratory factor analysis, the use of principal components analysis versus common factor analysis, procedures for determining the appropriate number of factors, and methods for rotating factor solutions.
Explanations and illustrations of the application of different factor analytic procedures are provided for analyses using common statistical packages (SPSS and SAS), as well as a free package available on the web (Comprehensive Exploratory Factor Analysis). In addition, practical instructions are provided for conducting a number of useful factor analytic procedures not included in the statistical packages.
Lýsing:
Exploratory Factor Analysis (EFA) has played a major role in research conducted in the social sciences for more than 100 years, dating back to the pioneering work of Spearman on mental abilities. Since that time, EFA has become one of the most commonly used quantitative methods in many of the social sciences, including psychology, business, sociology, education, political science, and communications.
To a lesser extent, it has also been utilized within the physical and biological sciences. Despite its long and widespread usage in many domains, numerous aspects of the underlying theory and application of EFA are poorly understood by researchers. Indeed, perhaps no widely used quantitative method requires more decisions on the part of a researcher and offers as wide an array of procedural options as EFA does.
This book provides a non-mathematical introduction to the underlying theory of EFA and reviews the key decisions that must be made in its implementation. Among the issues discussed are the use of confirmatory versus exploratory factor analysis, the use of principal components analysis versus common factor analysis, procedures for determining the appropriate number of factors, and methods for rotating factor solutions.
Explanations and illustrations of the application of different factor analytic procedures are provided for analyses using common statistical packages (SPSS and SAS), as well as a free package available on the web (Comprehensive Exploratory Factor Analysis). In addition, practical instructions are provided for conducting a number of useful factor analytic procedures not included in the statistical packages.
Annað
- Höfundar: Leandre R. Fabrigar, Duane T. Wegener
- Útgáfudagur: 2011-12-22
- Engar takmarkanir á útprentun
- Engar takmarkanir afritun
- Format:Page Fidelity
- ISBN 13: 9780199813513
- Print ISBN: 9780199734177
- ISBN 10: 0199813515
Efnisyfirlit
- Contents
- CHAPTER 1 Introductory Factor Analysis Concepts
- The Goals of Factor Analysis
- A Conceptual Introduction to the Common Factor Model
- A Graphical Depiction of the Common Factor Model
- A Simple Mathematical Introduction to the Common Factor Model
- Chapter Summary and Book Overview
- CHAPTER 2 Requirements for and Decisions in Choosing Exploratory Common Factor Analysis
- Is EFA Suitable for the Research Question?
- Are the Data Suitable for Factor Analysis?
- Properties of the Measured Variables
- Is an Exploratory or Confirmatory Approach Most Appropriate?
- The Common Factor Model or Principal Component Model?
- Summary
- CHAPTER 3 Requirements and Decisions for Implementing Exploratory Common Factor Analysis
- Choosing a Method of Fitting the Common Factor Model
- Determining the Appropriate Number of Common Factors
- Rotating Factor Analysis Solutions
- Concluding Comments
- CHAPTER 4 Factor Analysis Assumptions
- Assumptions Underlying the Common Factor Model
- Assumptions Related to Model Fitting Procedures
- Summary and Conclusions
- CHAPTER 5 Implementing and Interpreting Exploratory Factor Analysis
- Context for the Analysis: Pre-Analysis Decisions
- Example Research Question and Measures
- Conducting the Analysis: Implementation of EFA
- Concluding Comments
- CHAPTER 6 Summary, Conclusions, and Recommendations
- Understanding the Common Factor Model
- Determining if Exploratory Factor Analysis is Appropriate
- Decisions in Conducting Exploratory Factor Analysis
- Assumptions Underlying the Common Factor Model and Fitting Procedures
- Implementing and Interpreting EFA
- Concluding Thoughts
- Recommended Readings and Supplementary Programs
- Index
- A
- B
- C
- D
- E
- F
- G
- H
- I
- K
- L
- M
- N
- O
- P
- Q
- R
- S
- T
- U
- V
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