Description |
xxxv, 722 pages : illustrations ; 24 cm |
Contents |
1. An introduction to multivariate design -- 2. Some fundamental research design concepts -- 3A. Data screening -- 3B. Data screening using SPSS -- 4A. Bivariate correlation and simple linear regression -- 4B. Bivariate correlation and simple linear regression using SPSS -- 5A. Multiple regression -- 5B. Multiple regression using SPSS -- 6A. Logistic regression -- 6B. Logistic regression using SPSS -- 7A. Discriminant function analysis -- 7B. Two-group discriminant function analysis using SPSS -- 8A. Univariate comparisons of means -- 8B. Univariate comparisons of means using SPSS -- 9A. MANOVA : comparing two groups -- 9B. Two-group MANOVA using SPSS -- 10A. MANOVA : comparing three or more groups -- 10B. MANOVA : comparing three or more groups using SPSS -- 11A. MANOVA : two-way factorial -- 11B. MANOVA : two-way factorial using SPSS -- 12A. Principal components and factor analysis -- 12B. Principal components and factor analysis using SPSS -- 13A. Confirmatory factor analysis -- 13B. Confirmatory factor analysis using AMOS -- 14A. Causal modeling : path analysis and structural equation modeling -- 14B. Path analysis using SPSS and AMOS -- 15A. Applying a model to different groups -- 15B. Assessing model invariance between groups using AMOS |
Summary |
"Applied Multivariate Research is designed for undergraduate and graduate students studying multivariate research in the social and behavioral sciences - particularly psychology - as well as heath and business. The book is geared toward the need, level of mathematical understanding, and interest in multivariate methodology of students whose focus is on design and interpretation rather than on the intricacies of specific computations. It is an excellent text for courses such as Multivariate Statistics, Multivariate Analysis, Multivariate Research, Applied Multivariate Design, and Intermediate/Advanced Statistics."--BOOK JACKET |
Notes |
Formerly CIP. Uk |
Bibliography |
Includes bibliographical references (pages 677-694) and indexes |
Subject |
Multivariate analysis.
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Social sciences -- Statistical methods.
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Author |
Gamst, Glenn.
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Guarino, A. J.
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LC no. |
2005009519 |
ISBN |
1412904129 (cloth) |
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