Applied multivariate research :design and interpretation
Thousand Oaks
Sage Publications
c2006
xxxv, 722 p. : ill. ; 24 cm
Includes bibliographical references )p. 677-694( and indexes
Preface -- Part 1. Foundations. 1. An introduction to multivariate design -- 2. Some fundamental research design concepts -- 3A. Data screening -- 3B. Data screening using SPSS -- Part 2. The independent variable variate. 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 -- Part 3. The dependent variable variate. 8A. Univariate comparisons of means -- 8B. Univariate comparisons of means using SPSS -- 9A. MANOVA : comparing two groups -- 9B. Two-group MANOVA using SPSS -- 01A. MANOVA : comparing three or more groups -- 01B. MANOVA : comparing three or more groups using SPSS -- 11A. MANOVA : two-way factorial -- 11B. MANOVA : two-way factorial using SPSS -- Part 4. The emergent variate. 21A. Principal components and factor analysis -- 21B. Principal components and factor analysis using SPSS -- 31A. Confirmatory factor analysis -- 31B. Confirmatory factor analysis using AMOS -- Part V. Model fitting. 41A. Causal modeling : path analysis and structural equation modeling -- 41B. Path analysis using SPSS and AMOS -- 51A. Applying a model to different groups -- 51B. Assessing model invariance between groups using AMOS -- Appendix -- References -- Name index -- Subject index -- About the authors