1.

Record Nr.

UNINA9910455317203321

Autore

Eye Alexander von.

Titolo

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

Pubbl/distr/stampa

New York ; ; London : , : Routledge, , 2012

ISBN

1-135-63086-0

1-282-37893-7

9786612378935

1-4106-0657-0

Descrizione fisica

1 online resource (468 p.)

Disciplina

150/.1/519532

Soggetti

Discriminant analysis

Psychometrics

Electronic books.

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

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

Nota di contenuto

Book Cover; Title; Copyright; List of contents; Preface; Part 1: Concepts and Methods of CFA; 1. Introduction: The Goals and Steps of Configural Frequency Analysis; 2. Log-linear Base Models for CFA; 3. Statistical Testing in Global CFA; 4. Descriptive Measures in Global CFA; Part II: Models and Applications of CFA; 5. Global Models of CFA; 6. Regional models of CFA; 7. Comparing k Samples; Part III: Methods of Longitudinal CFA; 8. CFA of Differences; 9. CFA of Level, Variability, and Shape of Series of Observations; Part IV: The CFA Specialty File and Alternative Approaches to CFA

10. More facets of CFA11. Alternative approaches to CFA; Part V: Computational Issues; 12. Using General Purpose Software to Perform CFA; References; Appendix A: A brief introduction to log- linear modeling; Appendix B: Table of a*-levels for the Bonferroni and Holm adjustments; Author Index; Subject Index

Sommario/riassunto

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