Reading and understanding more multivariate statistics / edited by Laurence G. Grimm and Paul R. Yarnold.

Format:

Book

Contributor:

Grimm, Laurence G.

Yarnold, Paul R.

Language:

English

Subjects (All):

Multivariate analysis.

Psychometrics.

Physical Description:

xiii, 437 pages : illustrations ; 26 cm

Edition:

First edition.

Place of Publication:

Washington, DC : American Psychological Association, [2000]

Summary:

This follow up volume, provides a basic understanding of certain multivariate techniques and related topics in measurement guaranteed to increase confidence in reading and understanding the statistics. Chapters demystify the use of cluster analysis, Q-technique factor analysis, structural equation modeling, canonical correlation analysis, repeated measures analyses, and survival analysis.

Contents:

2. Reliability and Generalizability Theory / Michael J. Strube

3. Item Response Theory / David H. Henard

4. Assessing the Validity of Measurement / Fred B. Bryant

5. Cluster Analysis / Joseph F. Hair, William C. Black

6. Q-Technique Factor Analysis: One Variation on the Two-Mode Factor Analysis of Variables / Bruce Thompson

7. Structural Equation Modeling / Laura Klem

8. The Ten Commandments of Structural Equation Modeling / Bruce Thompson

9. Canonical Correlation Analysis / Bruce Thompson

10. Repeated Measures Analyses: ANOVA, MANOVA, and HLM / Kevin P. Weinfurt

11. Survival Analysis / Raymond E. Wright.

Notes:

Includes bibliographical references and index.

ISBN:

1557986983

OCLC:

43694440