Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Devel

Description: FREE SHIPPING UK WIDE Making Sense of Factor Analysis by Marjorie A. Pett, Nancy R. Lackey, John Sullivan This text offers a practical method for developing tests, validating instruments, and reporting outcomes through the use of factor analysis. Ideal for graduate level nursing students, this book is also an invaluable resource for health care researchers. FORMAT Paperback LANGUAGE English CONDITION Brand New Publisher 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 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. 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. Author Biography 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 beginning and advanced levels, including research design and data management, parametric and nonparametric statistics, biostatistics, multivariate statistics, instrument development, and factor analysis. She has tried to approach the teaching of statistics with humor and from a clinicians perspective and has been the recipient of several distinguished teaching awards both at the College and University levels. Her most recent research interests include the development of client-centered assessment tools and interventions to evaluate and enhance health-related quality of life (HRQoL) for persons with intellectual disabilities. She is the author of numerous research articles and chapters, and is an author of the Sage publication, Making Sense of Factor Analysis: The Use of Factor Analysis for Instrument Development in Health Care Research. When not engaged in research, writing, or teaching, Marge is a (now retired) state soccer referee, devotee of tennis, an avid (high handicap) golfer, student of Italian and French, reader of mystery novels, grandmother to three, mother to two, and wife to (only) one. Dr John Sullivan has been a professor of management for over 26 years at San Francisco State University. His specialty is HR strategy and designing world class HR systems and tools for Fortune 200 firms. He has worked with over 200 different businesses and organizations in more than 30 countries around the world as a speaker or advisor. He has written a weekly column for ERE for over eleven years. Overall, he has written ten books, dozens of white papers and over 700 articles. He was the chief talent officer for Agilent (the 40,000+ employee HP spin off). He has appeared on the CBS and ABC national nightly news, CNN and in various publications including Fortune, the Economist, CIO, BusinessWeek, the WSJ, the Washington Post, Money, Time and every major HR magazine. Fast company called him the Michael Jordan of hiring. He was listed among the 40 most influential people in HR. Tom Peters cites and utilizes his work in his latest book Re-Imagine. Table of Contents 1. An Overview of Factor AnalysisCharacteristics of Factor AnalysisExploratory Vs. Confirmatory Factor AnalysisAssumptions of Exploratory Factor AnalysisHistorical Developments of Factor AnalysisUses of Factor Analysis in Health Care ResearchDecision-Making Process in Exploratory Factor Analysis2. Designing and Testing the InstrumentTypes of Measurement and FrameworksThe Use of Latent Variables in Instrument DevelopmentIdentifying Empirical Indicators of Latent VariablesUsing Qualitative Research Methods to Identify Empirical IndicatorsAdditional Qualitative Approaches to Identifying Empirical IndicatorsDevelopment of the InstrumentScoring the InstrumentPilot Testing the InstrumentDetermining the Number of Subjects3. Assessing the Characteristics of MatricesCharacteristics and Types of MatricesTests of MatricesReview of the Process4. Extracting the Initial FactorsEvaluating the Correlation MatrixSources of Variance in Factor Analysis ModelsDetermining the Factor Extraction MethodSelecting the Number of Factors to RetainComparing the Two-Factor Solution Using PCA and PAF5. Rotating the FactorsAchieving a Simple StructureTypes of RotationsMapping Factors in Geometric SpaceOrthogonal RotationsOblique RotationsComparing the Orthogonal and Oblique SolutionsAdvantages and Disadvantages of the Oblique SolutionChoosing Between Orthogonal and Oblique RotationsSummary of the Process of Rotations6. Evaluating and Refining the FactorsEvaluating and Refining the FactorsAssessing the Reliability of an InstrumentEvaluating the Internal Consistency of an InstrumentEstimating the Effects on Reliability of Increasing or Decreasing ItemsCronbach′s Coefficient AlphaAssessing Reliability Using Cronbach′s Alpha: A Computer ExampleTwo Additional Reliability Estimates: Temporal Stability and Equivalence7. Interpreting Factors and Generating Factor ScoresInterpreting the FactorsNaming the FactorsInterpreting and Naming the Four Factors on the CGTS ScaleDetermining Composite Factor Scores8. Reporting and Replicating the ResultsWhen to Report the ResultsWhat to Include in the ReportAn Exemplar of a Published ReportReplicating the Factors in Other StudiesConclusionsAppendix A: Concerns About Genetic Testing ScaleAppendix B: SAS Commands and Generate OutputAppendix C: Output for 20-item CGTS ScaleAppendix D: Tables for the Chi-Square and Normal DistributionsAppendix E: Unraveling the Mystery of Principal Component ExtractionReferencesIndexAbout the Authors Details ISBN0761919503 Author John Sullivan Short Title MAKING SENSE OF FACTOR ANALYSI Language English ISBN-10 0761919503 ISBN-13 9780761919506 Media Book Format Paperback Year 2003 Subtitle The Use of Factor Analysis for Instrument Development in Health Care Research Illustrations Illustrations Edition 1st Pages 368 Imprint SAGE Publications Inc Place of Publication Thousand Oaks Country of Publication United States Affiliation University of Utah School of Medicine and School of Nursing DOI 10.1604/9780761919506 UK Release Date 2003-05-14 NZ Release Date 2003-05-14 US Release Date 2003-05-14 Publisher SAGE Publications Inc Publication Date 2003-05-14 Alternative 9780761919490 DEWEY 362.1072 Audience Tertiary & Higher Education AU Release Date 2003-05-13 We've got this At The Nile, if you're looking for it, we've got it. 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