Configural Frequency Analysis

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A01=Alexander von Eye
Author_Alexander von Eye
base
Binomial Test
Bivariate Marginals
Bonferroni adjustment
Category=PBK
Category=PBT
cell
Cell Frequency
Configural Frequency Analysis
Design Matrix
Discrimination Types
empty cell detection
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
expected
Expected Cell Frequencies
eye
Fol Lowing
frequencies
General Purpose Statistical Software Packages
log
Log Linear Base Model
Log Linear Modeling
Log Linear Models
log-linear analysis
longitudinal configural data analysis
Main Effect Model
Marginal Frequencies
medical data modeling
model
Observed Cell Frequencies
Order CFA
Original Base Model
person-oriented research
Posterior Distribution
Predictor Configuration
probabilities
Product Multinomial Sampling
psychological statistics
Relative Risk Ratio
Stratification Variable
Structural Zeros
tail
Tail Probabilities
von
Von Eye

Product details

  • ISBN 9780805843248
  • Weight: 870g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Jun 2002
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
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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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