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.

chapter 2|28 pages

Log-linear Base Models for CFA

chapter 3|50 pages

Statistical Testing in Global CFA

chapter 4|8 pages

Descriptive Measures in Global CFA

chapter 5|20 pages

Global Models of CFA

chapter 6|48 pages

Regional models of CFA

chapter 7|30 pages

Comparing k Samples

part |2 pages

Part III: Methods of Longitudinal CFA

chapter 8|24 pages

CFA of Differences

part |1 pages

Part IV: The CFA Specialty File and Alternative Approaches to CFA

chapter 10|67 pages

More facets of CFA

chapter 11|14 pages

Alternative approaches to CFA