# Configural Frequency Analysis: Methods, Models, and Applications ebook

## by Alexander von Eye

Configural Frequency Analysis (CFA) provides an up-to-the-minute comprehensive introduction to its techniques, models, and applications.

Configural Frequency Analysis (CFA) provides an up-to-the-minute comprehensive introduction to its techniques, models, and applications. Step-by-step program sequences are used to show readers how to employ CFA methods using commercial software packages, such as SAS, SPSS, SYSTAT, S-Plus, or those written specifically to perform CFA. CFA is an important method for analyzing results involved with categorical and longitudinal data.

Throughout the book, real-world data illustrate the application of models and .

Throughout the book, real-world data illustrate the application of models and understanding of the related results. In addition, each chapter utilizes R, SYSTAT®, and lEM software, providing readers with an understanding of these programs in the context of hierarchical log-linear modeling. Second, this model is estimated and model fit is evaluated. Configural frequency analysis and log-linear modeling are presented as person-centered analytic approaches for the analysis of categorical or categorized data in multi-way contingency tables.

Configural Frequency AnalysisMethods, Models, and Applications Preface Events that occur as expected are rarely deemed worth mentioning. This book is dedicated to his memory. Alexander von Eye Okemos, April 2002

Configural Frequency AnalysisMethods, Models, and Applications Preface Events that occur as expected are rarely deemed worth mentioning. In contrast, events that are surprising, unexpected, unusual, shocking, or colossal appear in the news. Alexander von Eye Okemos, April 2002. Configural Frequency Analysis Methods, Models, and Applications. Part 1: Concepts and Methods of CFA. 1. Introduction: The Goals and Steps of Configural Frequency Analysis. This first chapter consists of three parts. First, it introduces readers to the basic concepts of Configural Frequency Analysis (CFA).

Configural frequency analysis (CFA) is a method of exploratory data analysis, introduced by Gustav A. Lienert in 1969. The goal of a configural frequency analysis is to detect patterns in the data that occur significantly more (such patterns are called Types) or significantly less often (such patterns are called Antitypes) than expected by chance. Thus, the idea of a CFA is to provide by the identified types and antitypes some insight into the structure of the data.

oceedings{Eye2002ConfiguralFA, title {Configural Frequency Analysis: Methods, Models, and Applications}, author {Alexander von Eye} . Introduction: The Goals and Steps of Configural Frequency Analysis

oceedings{Eye2002ConfiguralFA, title {Configural Frequency Analysis: Methods, Models, and Applications}, author {Alexander von Eye}, year {2002} }. Alexander von Ey. Log-Linear Base Models for CFA. Statistical Testing in Global CFA. Descriptive Measures for Global CFA. Part II: Models and Applications of CFA. Global Models of CFA. Regional Models of CFA. Comparing k Samples. Part III: Methods of Longitudinal CFA. CFA of Differences. CFA of Level, Variability, and Shape of Series of Observations. Part IV: The CFA Specialty File an. ONTINUE READING.

Eye, Alexander von and Nesselroade, John R. 1992. Non-Standard Log-Linear Models for Orthogonal Prediction Configural Frequency Analysis. Biometrical Journal, Vol. 36, Issue. Types of change: Application of configural frequency analysis in repeated measurement designs. Wood, Phillip K. Sher, Kenneth J. and Eye, Alexander Von 1994. Conjugate and Other Distributional Methods in Configural Frequency Analysis.

Configural Frequency Analysis (CFA) provides an up-to-the-minute comprehensive introduction to its techniques, models, and applications

Configural Frequency Analysis (CFA) provides an up-to-the-minute comprehensive introduction to its techniques, models, and applications. Configural Frequency Analysis (CFA) provides an up-to-the-minute comprehensive introduction to its techniques, models, and applications.

*Configural Frequency Analysis*(CFA) provides an up-to-the-minute comprehensive introduction to its techniques, models, and applications. Written in a formal yet accessible style, actual empirical data examples are used to illustrate key concepts. Step-by-step program sequences are used to show readers how to employ CFA methods using commercial software packages, such as SAS, SPSS, SYSTAT, S-Plus, or those written specifically to perform CFA. CFA is an important method for analyzing results involved with categorical and longitudinal data. It allows one to answer the question of whether individual cells or groups of cells of cross-classifications differ significantly from expectations. The expectations are calculated using methods employed in log-linear modeling or a priori information. It is the only statistical method that allows one to make statements about empty areas in the data space. Applied and or person-oriented researchers, statisticians, and advanced students interested in CFA and categorical and longitudinal data will find this book to be a valuable resource. Developed since 1969, this method is now used by a large number of researchers around the world in a variety of disciplines, including psychology, education, medicine, and sociology.

*Configural Frequency Analysis*will serve as an excellent text for courses on configural frequency analysis, categorical variable analysis, or analysis of contingency tables. Prerequisites include an understanding of descriptive statistics, hypothesis testing, statistical model fitting, and some understanding of categorical data analysis and matrix algebra.