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OverviewUsing real-world data examples, this authoritative book shows how to use the latest configural frequency analysis (CFA) techniques to analyze categorical data. Some of the techniques are presented here for the first time. In contrast to such methods as log-linear modeling, which focus on relationships among variables, CFA allows researchers to evaluate differences and change at the level of individual cells in a table. Illustrated are ways to identify and test for cell configurations that are either consistent with or contrary to hypothesized patterns (the types and antitypes of CFA); control for potential covariates that might influence observed results; develop innovative prediction models; address questions of moderation and mediation; and analyze intensive longitudinal data. The book also describes free software applications for executing CFA. This book will be invaluable to researchers and graduate students in psychology, education, management, public health, sociology, and other social, behavioral, and health science disciplines. It will also serve as a supplemental text in graduate-level courses on categorical data analysis, longitudinal analysis, and person-oriented research. Full Product DetailsAuthor: Alexander von Eye , Patrick Mair , Eun-Young Mun , Michael J RovinePublisher: Guilford Publications Imprint: Guilford Publications Dimensions: Width: 17.80cm , Height: 2.00cm , Length: 25.40cm Weight: 0.756kg ISBN: 9781606237199ISBN 10: 1606237195 Pages: 306 Publication Date: 09 June 2010 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Tertiary & Higher Education Format: Hardback Publisher's Status: Out of Print Availability: In Print  Limited stock is available. It will be ordered for you and shipped pending supplier's limited stock. Table of Contents_x000D_ _x000D_ 1. Introduction _x000D_ 1.1 Questions That CFA Can Answer _x000D_ 1.2 The Five Steps of CFA _x000D_ 1.3 Introduction to CFA: An Overview _x000D_ 1.4 Chapter Summary _x000D_ 2. Configural Analysis of Rater Agreement _x000D_ 2.1 Rater Agreement CFA _x000D_ 2.2 Data Examples _x000D_ 2.3 Chapter Summary _x000D_ 3. Structural Zeros in CFA _x000D_ 3.1 Blanking Out Structural Zeros _x000D_ 3.2 Structural Zeros by Design _x000D_ 3.2.1 Polynomials and the Method of Differences _x000D_ 3.2.2 Identifying Zeros That Are Structural by Design _x000D_ 3.3 Chapter Summary _x000D_ 4. Covariates in CFA _x000D_ 4.1 CFA and Covariates _x000D_ 4.2 Chapter Summary _x000D_ 5. Configural Prediction Models _x000D_ 5.1 Logistic Regression and Prediction CFA _x000D_ 5.1.1 Logistic Regression _x000D_ 5.1.2 Prediction CFA _x000D_ 5.1.3 Comparing Logistic Regression and P-CFA Models _x000D_ 5.2 Predicting an End Point _x000D_ 5.3 Predicting a Trajectory _x000D_ 5.4 Graphical Presentation of Results of P-CFA Models _x000D_ 5.5 Chapter Summary _x000D_ 6. Configural Mediator Models _x000D_ 6.1 Logistic Regression plus Mediation _x000D_ 6.2 CFA-Based Mediation Analysis _x000D_ 6.3 Configural Chain Models _x000D_ 6.4 Chapter Summary _x000D_ 7. Auto-Association CFA _x000D_ 7.1 A-CFA without Covariates _x000D_ 7.2 A-CFA with Covariates _x000D_ 7.2.1 A-CFA with Covariates I: Types and Antitypes Reflect Any of the Possible Relationships between Two or More Series of Measures _x000D_ 7.2.2 A-CFA with Covariates II: Types and Antitypes Reflect Only Relationships between the Series of Measures and the Covariate _x000D_ 7.3 Chapter Summary _x000D_ 8. Configural Moderator Models _x000D_ 8.1 Configural Moderator Analysis: Base Models with and without Moderator _x000D_ 8.2 Longitudinal Configural Moderator Analysis under Consideration of Auto-Associations _x000D_ 8.3 Configural Moderator Analysis as n-Group Comparison _x000D_ 8.4 Moderated Mediation _x000D_ 8.5 Graphical Representation of Configural Moderator Results _x000D_ 8.6 Chapter Summary _x000D_ 9. The Validity of CFA Types and Antitypes _x000D_ 9.1 Validity in CFA _x000D_ 9.2 Chapter Summary _x000D_ 10. Functional CFA _x000D_ 10.1 F-CFA I: An Alternative Approach to Exploratory CFA (Sequential Identification of Types and Antitypes) _x000D_ 10.1.1 Kieser and Victor's Alternative, Sequential CFA: Focus on Model Fit _x000D_ 10.1.2 von Eye and Mair's Sequential CFA: Focus on Residuals _x000D_ 10.2 Special Case: One Dichotomous Variable _x000D_ 10.3 F-CFA II: Explaining Types and Antitypes _x000D_ 10.3.1 Explaining Types and Antitypes: The Ascending, Inclusive Strategy _x000D_ 10.3.2 Explaining Types and Antitypes: The Descending, Exclusive Strategy _x000D_ 10.4 Chapter Summary _x000D_ 11. CFA of Intensive Categorical Longitudinal Data _x000D_ 11.1 CReviewsThis book offers an outstanding presentation of advances in configural frequency analysis. In particular, the chapters on methods for the investigation of mediation, moderation, and longitudinal data will be very useful to researchers. These new approaches to configural analysis represent a valuable approach to answering and generating new research questions!. This is a good book for categorical data analysis courses and an important reference for researchers applying the method. - David P. MacKinnon, Department of Psychology, Arizona State University, USA The authors describe steps for using state-of-the-art statistical methods, writing in a manner that facilitates analysis and understanding of complex statistical concepts. Included are examples showing how to apply configural frequency analysis to handle categorical data using longitudinal and factorial designs. - Mildred M. Maldonado-Molina, Department of Epidemiology and Health Policy Research, University of Florida, USA Clearly written and loaded with excellent examples, this book takes the reader through cross-sectional and longitudinal models, including interesting approaches to mediator and moderator analysis and auto-association modeling. The authors' practical approach allows the researcher to immediately implement these very advanced models. - Michael J. Rovine, Department of Human Development and Family Studies, The Pennsylvania State University, USA There is a wealth of operational detail about the statistical base of configural frequency analysis and computational logistics. Other strengths of the book are the use of program output to illustrate points and the helpful chapter summaries. - Paula S. Nurius, School of Social Work, University of Washington, USA A very user-friendly book that offers practical examples of many advanced topics for those interested in a new person-oriented data analytic approach. I appreciated how the same data examples were used in different chapters in order to illustrate the different types of questions that can be answered through configural frequency analysis. This helps the reader stay focused on the material at hand and reinforces the general applicability of the method to a wide variety of research questions. - Michael J. Cleveland, Methodology Center, The Pennsylvania State University, USA This book offers an outstanding presentation of advances in configural frequency analysis. In particular, the chapters on methods for the investigation of mediation, moderation, and longitudinal data will be very useful to researchers. These new approaches to configural analysis represent a valuable approach to answering and generating new research questions... This is a good book for categorical data analysis courses and an important reference for researchers applying the method. - David P. MacKinnon, Department of Psychology, Arizona State University, USA The authors describe steps for using state-of-the-art statistical methods, writing in a manner that facilitates analysis and understanding of complex statistical concepts. Included are examples showing how to apply configural frequency analysis to handle categorical data using longitudinal and factorial designs. - Mildred M. Maldonado-Molina, Department of Epidemiology and Health Policy Research, University of Florida, USA Clearly written and loaded with excellent examples, this book takes the reader through cross-sectional and longitudinal models, including interesting approaches to mediator and moderator analysis and auto-association modeling. The authors' practical approach allows the researcher to immediately implement these very advanced models. - Michael J. Rovine, Department of Human Development and Family Studies, The Pennsylvania State University, USA There is a wealth of operational detail about the statistical base of configural frequency analysis and computational logistics. Other strengths of the book are the use of program output to illustrate points and the helpful chapter summaries. - Paula S. Nurius, School of Social Work, University of Washington, USA A very user-friendly book that offers practical examples of many advanced topics for those interested in a new person-oriented data analytic approach. I appreciated how the same data examples were used in different chapters in order to illustrate the different types of questions that can be answered through configural frequency analysis. This helps the reader stay focused on the material at hand and reinforces the general applicability of the method to a wide variety of research questions. - Michael J. Cleveland, Methodology Center, The Pennsylvania State University, USA """This book offers an outstanding presentation of advances in configural frequency analysis. In particular, the chapters on methods for the investigation of mediation, moderation, and longitudinal data will be very useful to researchers. These new approaches to configural analysis represent a valuable approach to answering and generating new research questions!. This is a good book for categorical data analysis courses and an important reference for researchers applying the method."" - David P. MacKinnon, Department of Psychology, Arizona State University, USA ""The authors describe steps for using state-of-the-art statistical methods, writing in a manner that facilitates analysis and understanding of complex statistical concepts. Included are examples showing how to apply configural frequency analysis to handle categorical data using longitudinal and factorial designs."" - Mildred M. Maldonado-Molina, Department of Epidemiology and Health Policy Research, University of Florida, USA ""Clearly written and loaded with excellent examples, this book takes the reader through cross-sectional and longitudinal models, including interesting approaches to mediator and moderator analysis and auto-association modeling. The authors' practical approach allows the researcher to immediately implement these very advanced models."" - Michael J. Rovine, Department of Human Development and Family Studies, The Pennsylvania State University, USA ""There is a wealth of operational detail about the statistical base of configural frequency analysis and computational logistics. Other strengths of the book are the use of program output to illustrate points and the helpful chapter summaries."" - Paula S. Nurius, School of Social Work, University of Washington, USA ""A very user-friendly book that offers practical examples of many advanced topics for those interested in a new person-oriented data analytic approach. I appreciated how the same data examples were used in different chapters in order to illustrate the different types of questions that can be answered through configural frequency analysis. This helps the reader stay focused on the material at hand and reinforces the general applicability of the method to a wide variety of research questions."" - Michael J. Cleveland, Methodology Center, The Pennsylvania State University, USA" Author InformationAlexander A. von Eye, Department of Psychology, Michigan State University, East Lansing, USA Patrick Mair, Department of Statistics and Mathematics, Vienna University of Economics and Business, Vienna, Austria Eun-Young Mun, Center of Alcohol Studies and Graduate School of Applied and Professional Psychology, Rutgers, The State University of New Jersey, Piscataway, USA Tab Content 6Author Website:Countries AvailableAll regions |
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