Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research
Marjorie A. Pett - University of Utah School of Medicine and School of Nursing
Nancy R. Lackey - University of Memphis
John J. Sullivan
Many health care practitioners and researchers are aware of the need to employ factor
analysis in order to develop more sensitive instruments for data collection.
Unfortunately, factor analysis is not a unidimensional approach that is easily
understood by even the most experienced of researchers.
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.
This accessible volume will help both novice and experienced health care professionals to
- Increase their knowledge of the use of factor analysis in health care research
- Understand journal articles that report the use of factor analysis in test construction and instrument development
- Create new data collection instruments
- Examine the reliability and structure of existing health care instruments
- Interpret and report computer-generated output from a factor analysis run
Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development
in Health Care Research offers a practical method for developing tests, validating
instruments, and reporting outcomes through the use of factor analysis. To facilitate
learning, the authors provide concrete testing examples, three appendices of additional
information, and a glossary of key terms. Ideal for graduate level nursing students,
this book is also an invaluable resource for health care researchers.
Contents
- Acknowledgements
- Introduction
- 1. An Overview of Factor Analysis
- 2. Designing and Testing the Instrument
- 3. Assessing the Characteristics of Matrices
- 4. Extracting the Initial Factors
- 5. Rotating the Factors
- 6. Evaluating and Refining the Factors
- 7. Interpreting Factors and Generating Factor Scores
- 8. Reporting and Replicating the Results
- Appendix A: Concerns About Genetic Testing Scale
- Appendix B: SAS Commands and Generate Output
- Appendix C: Output for 20-item CGTS Scale
- Appendix D: Tables for the Chi-Square and Normal Distributions
- Appendix E: Unraveling the Mystery of Principal Component Extraction
- References
- Index
- About the Authors
348 pages. 2003. Softcover.