Handbook of applied multivariate statistics and mathematical modeling
Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. Th...
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| Format: | eBook |
| Language: | English |
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San Diego
Academic Press
2000, 2000
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| Collection: | Elsevier eBook collection Mathematics - Collection details see MPG.ReNa |
Table of Contents:
- Multivariate statistics and mathematical modeling / Howard E.A. Tinsley and Steven D. Brown
- Role of theory and experimental design in multivariate analysis and mathematical modeling / John Hetherington
- Scale construction and psychometric considerations / Rene V. Dawis
- Interrater reliability and agreement / Howard E.A. Tinsley and David J. Weiss
- Interpreting and reporting results / Mark Hallahan and Robert Rosenthal
- Issues in the use and application of multiple regression analysis / Anre Venter and Scott E. Maxwell
- Multivariate analysis of variance and covariance / Carl J Huberty and Martha D. Petoskey
- Discriminant analysis / Michael T. Brown and Lori R. Wicker
- Canonical correlation analysis / Robert M. Thorndike
- Exploratory factor analysis / Robert Cudeck
- Cluster analysis / Paul A. Gore, Jr.
- Multidimensional scaling / Mark L. Davison and Stephen G. Sireci
- Time-series designs and analyses / Melvin M. Mark, Charles S. Reichardt, and Lawrence J. Sanna
- Poisson regression, logistic regression, and loglinear models for random counts / Peter B. Imrey
- Structural equation modeling : uses and issues / Lisabeth F. Dilalla
- Confirmatory factor analysis / Rick H. Hoyle
- Multivariate meta-analysis / Betsy J. Becker
- Generalizability theory / George A. Marcoulides
- Item response models for the analysis of educational and psychological test data / Ronald K. Hambleton, Frederic Robin, and Dehui Xing
- Multitrait-multimethod analysis / Levent Dumenci
- Using random coefficient linear models for the analysis of hierarchically nested data / Ita G.G. Kreft
- Analysis of circumplex models / Terence J.G. Tracey
- Using covariance structure analysis to model change over time / John B. Willett and Margaret K. Keiley
- Includes bibliographical references and indexes