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Multivariate General Linear Models de Richard F. Haase

Multivariate General Linear Models: Quantitative Applications in the Social Sciences, cartea 170

Autor Richard F. Haase
en Limba Engleză Electronic book text – 18 iun 2013
This book provides a graduate level introduction to multivariate multiple regression analysis. The book can be used as a sole text for that topic, or as a supplemental text in a course that addresses a larger number of multivariate topics. The text is divided into seven short chapters. Apart from the introductory chapter giving an overview of multivariate multiple regression models, the content outline follows the classic steps required to solve multivariate general linear model problems:
(a) specifying the model
(b)estimating the parameters of the model
(c) establishing measures of goodness of fit of the model
(d) establishing test statistics and testing hypotheses about the model
(e) diagnosing the adequacy of the model.
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Specificații

ISBN-13: 9781483303727
ISBN-10: 1483303721
Pagini: 224
Dimensiuni: 140 x 216 mm
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Cuprins

1. Introduction and Review of Univariate General Linear Models
2. Specifying the Structure of the Multivariate General Linear Model
3. Estimating the Parameters of the Multivariate General Linear Model
4. Partitioning the SSCP, Measures of Strength of Association, and Test Statistics in the Multivariate General Linear Model
5. Testing Hypotheses in the Multivariate General Linear Model
6. Coding the Design Matrix and the Multivariate Analysis of Variance
7. The Eigenvalue Solution to the Multivariate General Linear Model: Canonical Correlation and Multivariate Test Statistics
References

Descriere

With the format of the text mirroring the steps needed to be taken to solve multivariate general linear model problems, this clear and accessible guide introduces readers to this area of statistics.

Notă biografică

Richard F. Haase is Professor Emeritus and Research Professor in the Division of Counseling Psychology of the School of Education and Fellow of the Institute for Health and the Environment of the School of Public Health, both at the University at Albany of the State University of New York. After completing his Ph.D. in Psychology from Colorado State University he has taught research methods, statistics and data analysis at the University of Massachusetts at Amherst, Texas Tech University and the University at Albany. His interests are in the areas of research methods, univariate and multivariate statistics, and vocational psychology. His work on research methodology and data analysis has appeared in the Journal of Consulting and Clinical Psychology, Journal of Counseling Psychology, Educational and Psychological Measurement, Multivariate Behavioral Research, Applied Psychological Measurement, Environmental Research, and the Journal of Vocational Behavior.