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Making Sense of Factor Analysis The Use of Factor Analysis for Instrument Development in Health Care Research

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ISBN-10: 0761919503

ISBN-13: 9780761919506

Edition: 2003

Authors: Marjorie (Marg) A. Pett, Nancy R. Lackey, John Sullivan

List price: $95.00
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Description:

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…    
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Book details

List price: $95.00
Copyright year: 2003
Publisher: SAGE Publications, Incorporated
Publication date: 3/21/2003
Binding: Paperback
Pages: 368
Size: 6.00" wide x 9.00" long x 0.75" tall
Weight: 1.342
Language: English

Marjorie A. Pett, MStat, DSW, is a Research Professor in the College of Nursing at the University of Utah, Salt Lake City, Utah, having been on the faculty since 1980. By her own admission, she is a "collector" of academic degrees: BA (Brown University), MS in sociology (University of Stockholm, Sweden), MSW (Smith College), DSW (University of Utah), and MStat (Biostatistics) (University of Utah). Dr. Pett has a strong commitment to facilitating the practical application of statistics in the social, behavioral, and biological sciences, especially among practitioners in health care settings. She has designed and taught graduate courses to students from a variety of disciplines at the…    

An Overview of Factor Analysis
Characteristics of Factor Analysis
Exploratory Vs. Confirmatory Factor Analysis
Assumptions of Exploratory Factor Analysis
Historical Developments of Factor Analysis
Uses of Factor Analysis in Health Care Research
Decision-Making Process in Exploratory Factor Analysis
Designing and Testing the Instrument
Types of Measurement and Frameworks
The Use of Latent Variables in Instrument Development
Identifying Empirical Indicators of Latent Variables
Using Qualitative Research Methods to Identify Empirical Indicators
Additional Qualitative Approaches to Identifying Empirical Indicators
Development of the Instrument
Scoring the Instrument
Pilot Testing the Instrument
Determining the Number of Subjects
Assessing the Characteristics of Matrices
Characteristics and Types of Matrices
Tests of Matrices
Review of the Process
Extracting the Initial Factors
Evaluating the Correlation Matrix
Sources of Variance in Factor Analysis Models
Determining the Factor Extraction Method
Selecting the Number of Factors to Retain
Comparing the Two-Factor Solution Using PCA and PAF
Rotating the Factors
Achieving a Simple Structure
Types of Rotations
Mapping Factors in Geometric Space
Orthogonal Rotations
Oblique Rotations
Comparing the Orthogonal and Oblique Solutions
Advantages and Disadvantages of the Oblique Solution
Choosing Between Orthogonal and Oblique Rotations
Summary of the Process of Rotations
Evaluating and Refining the Factors
Evaluating and Refining the Factors
Assessing the Reliability of an Instrument
Evaluating the Internal Consistency of an Instrument
Estimating the Effects on Reliability of Increasing or Decreasing Items
Cronbach's Coefficient Alpha
Assessing Reliability Using Cronbach's Alpha: A Computer Example
Two Additional Reliability Estimates: Temporal Stability and Equivalence
Interpreting Factors and Generating Factor Scores
Interpreting the Factors
Naming the Factors
Interpreting and Naming the Four Factors on the CGTS Scale
Determining Composite Factor Scores
Reporting and Replicating the Results
When to Report the Results
What to Include in the Report
An Exemplar of a Published Report
Replicating the Factors in Other Studies
Conclusions
Concerns About Genetic Testing Scale
SAS Commands and Generate Output
Output for 20-item CGTS Scale
Tables for the Chi-Square and Normal Distributions
Unraveling the Mystery of Principal Component Extraction
References
Index
About the Authors