Configural Frequency Analysis
Alexander von Eye
Sold by Neatstuff, Bristol, VA, U.S.A.
AbeBooks Seller since March 23, 2022
Used - Hardcover
Condition: Used - Near fine
Ships within U.S.A.
Quantity: 1 available
Add to basketSold by Neatstuff, Bristol, VA, U.S.A.
AbeBooks Seller since March 23, 2022
Condition: Used - Near fine
Quantity: 1 available
Add to basket"Methods,Models,and Applications", hardcover in illustrated boards by Alexander von Eye, Lawrence Erlbaum Associates, 2002ISBN 080584323X, 450 pp.including index, illustrated with tables. NEAR FINE + (a very,very small amount of light soiling to bottom edge).
Seller Inventory # 1158
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.
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