Research Catalog

Title

Configural frequency analysis : methods, models, and applications / Alexander von Eye.

Author

Eye, Alexander von.

Publication

Mahwah, N.J. : Lawrence Erlbaum Associates, [2002], ©2002.

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Holdings

Details

Description

xi, 450 pages : illustrations; 24 cm

Subject

• Psychometrics
• Discriminant analysis

Bibliography (note)

• Includes bibliographical references (p. 401-422) and indexes.

Contents

• Pt. I. Concepts and Methods of CFA. 1. Introduction: the Goals and Steps of Configural Frequency Analysis. 1.1. Questions that can be answered with CFA. 1.2. CFA and the Person Perspective. 1.3. The five steps of CFA. 1.4. A first complete CFA data example. 2. Log-linear Base Models for CFA. 2.1. Sample CFA base models and their design matrices. 2.2. Admissibility of log-linear models as CFA base models. 2.3. Sampling schemes and admissibility of CFA base models. 2.4. A grouping of CFA base models. 2.5. The four steps of selecting a CFA base model. 3. Statistical Testing in Global CFA. 3.1. The null hypothesis in CFA. 3.2. The binomial test. 3.3. Three approximations of the binomial test. 3.4. The [chi][superscript 2] test and its normal approximation. 3.5. Anscombe's normal approximation. 3.6. Hypergeometric tests and approximations. 3.7. Issues of power and the selection of CFA tests. 3.8. Selecting significance tests for CFA.
• 3.9. Finding types and antitypes: Issues of differential power. 3.10. Methods of protecting [alpha]. 4. Descriptive Measures for Global CFA. 4.1. The relative risk ratio, RR. 4.2. The measure log P. 4.3. Comparing the [Chi][superscript 2] component with the relative risk ratio and log P -- Pt. II. Models and Applications of CFA. 5. Global Models of CFA. 5.1. Zero order global CFA. 5.2. First order global CFA. 5.3. Second order global CFA. 5.4. Third order global CFA. 6. Regional Models of CFA. 6.1. Interaction Structure Analysis (ISA). 6.2. Prediction CFA. 7. Comparing k Samples. 7.1. Two-sample CFA I: The original approach. 7.2. Two-sample CFA II: Alternative methods. 7.3. Comparing three or more samples. 7.4. Three groups of variables: ISA plus k-sample CFA -- Pt. III. Methods of Longitudinal CFA. 8. CFA of Differences. 8.1. A review of methods of differences. 8.2. The method of differences in CFA.
• 9. CFA of Level, Variability, and Shape of Series of Observations. 9.1. CFA of shifts in location. 9.2. CFA of variability in a series of measures. 9.3. Considering both level and trend in the analysis of series of measures. 9.4. CFA of series that differ in length; an example of confirmatory CFA. 9.5. Examining treatment effects using CFA; more confirmatory CFA. 9.6. CFA of patterns of correlation or multivariate distance sequences. 9.7. Unidimensional CFA. 9.8. Within-individual CFA -- Pt. IV. The CFA Specialty File and Alternative Approaches to CFA. 10. More Facets of CFA. 10.1. CFA of cross-classifications with structural zeros. 10.2. The parsimony of CFA base models. 10.3. CFA of groups of cells: Searching for patterns of types and antitypes. 10.4. CFA and the exploration of causality. 10.5. Covariates in CFA. 10.6. CFA of ordinal variables. 10.7. Graphical displays of CFA results. 10.8. Aggregating results from CFA.
• 10.9. Employing CFA in tandem with other methods of analysis. 11. Alternative Approaches to CFA. 11.1. Kieser and Victor's quasi-independence model of CFA. 11.2. Bayesian CFA -- Pt. V. Computational Issues. 12. Software to Perform CFA. 12.1. Using SYSTAT to perform CFA. 12.2. Using S-plus to perform Bayesian CFA. 12.3. Using CFA 2002 to perform Frequentist CFA -- Pt. VI. References, Appendices, and Indices -- App. A. A brief introduction to log-linear modeling -- App. B. Table of [alpha]*-levels for the Bonferroni and Holm adjustments.

ISBN

• 080584323X (alk. paper)
• 0805843248 (pbk. : alk. paper)

LCCN

2002016979

OCLC

• ocm48940949
• SCSB-4306201

Owning Institutions

Columbia University Libraries