{"product_id":"making-sense-of-factor-analysis-9780761919506","title":"Making Sense of Factor Analysis","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eMany 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.\u003c\/p\u003e\u003cb\u003e  \u003c\/b\u003e\u003cp\u003eMaking 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.\u003c\/p\u003e  \u003cp\u003eThis accessible volume will help both novice and experienced health care professionals to\u003c\/p\u003e  \u003cul\u003e  \u003cli\u003eIncrease their knowledge of the use of factor analysis in health care research   \u003c\/li\u003e\n\u003cli\u003eUnderstand journal articles that report the use of factor analysis in test construction and instrument development   \u003c\/li\u003e\n\u003cli\u003eCreate new data collection instruments   \u003c\/li\u003e\n\u003cli\u003eExamine the reliability and structure of existing health care instruments   \u003c\/li\u003e\n\u003cli\u003eInterpret and report computer-generated output from a factor analysis run\u003c\/li\u003e\n\u003c\/ul\u003e\u003cb\u003e  \u003c\/b\u003e\u003cp\u003eMaking 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.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e1. 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 2. 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 3. Assessing the Characteristics of Matrices    Characteristics and Types of Matrices    Tests of Matrices    Review of the Process 4. 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 5. 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 6. 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 7. 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 8. 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 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","brand":"SAGE Publications, Inc","offers":[{"title":"Default Title","offer_id":51768004378967,"sku":"9780761919506","price":999.99,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9780761919506.jpg?v=1758715865","url":"https:\/\/bookcurl.com\/products\/making-sense-of-factor-analysis-9780761919506","provider":"Book Curl","version":"1.0","type":"link"}