Applied multivariate research : design and interpretation /
Meyers, Lawrence S,
Applied multivariate research : design and interpretation / Lawrence S. Meyers, Glenn Gamst, A.J. Guarino. - Third edition. - Los Angeles : SAGE, [2017]. - xxxvii, 978 pages : illustrations ; 27 cm.
Revised edition of the authors's Applied multivariate research, 2013.
Includes bibliographical references and index.
Preface -- About the authors -- An introduction to multivariate design -- An introduction to multivariate design -- Some fundamental research design concepts -- Chapter 3A: data screening -- Chapter 3B: data screening using IBM SPSS -- Basic and advanced regression analysis -- Chapter 4A: Bivariate correlation and simple linear regression -- Chapter 4B: Bivariate correlation and simple linear regression using IBM SPSS -- Chapter 5A: Multiple regression analysis -- Chapter 5B: Multiple regression analysis using IBM SPSS -- Chapter 6A: Beyond statistical regression -- Chapter 6B: Beyond statistical regression using IBM SPSS -- Chapter 7A: Canonical correlation analysis -- Chapter 7B: canonical correlation analysis using IBM SPSS -- Chapter 8A: Multilevel modeling -- Chapter 8B: Multilevel modeling using IBM SPSS -- Chapter 9A: Binary and multinomial logistic regression and ROC analysis -- Chapter 9b: Binary and multinomial logistic regression and roc analysis using IBM SPSS -- Structural relationships of measured and latent variables -- Chapter 10A: Principal components analysis and exploratory factor analysis -- Chapter 10B: principal components analysis and exploratory factor analysis using IBM SPSS -- Chapter 11A: confirmatory factor analysis -- Chapter 11B: confirmatory factor analysis using IBM SPSS AMOS -- Chapter 12A: path analysis: multiple regression analysis -- Chapter 12B: Path analysis : multiple regression analysis using IBM SPSS -- Chapter 13A: Path analysis : structural equation modeling -- Chapter 13B: Path analysis : structural equation modeling using IBM SPSS AMOS -- Chapter 14A: Structural equation modeling -- Chapter 14B: structural equation modeling using IBM SPSS AMOS -- Chapter 15A: measurement and structural equation modeling invariance : applying a model to different group -- Chapter 15B: assessing measurement and structural invariance for confirmatory factor -- Analysis and structural equation models using IBM SPSS AMOS -- Consolidating stimuli and cases -- Chapter 16A: Multidimensional scaling -- Chapter 16b: multidimensional scaling using ibm spss -- Chapter 17a: cluster analysis -- Chapter 17B: Cluster analysis using IBM SPSS -- Comparing scores -- Chapter 18A: Between subjects comparisons of means -- Chapter 18B: Between subjects ancova, manova, and mancova using IBM SPSS -- Chapter 19A: Discriminant function analysis -- Chapter 19B: Three-group discriminant function analysis using IBM SPSS -- Chapter 20A: Survival analysis -- Chapter 20B: Survival analysis using IBM SPSS -- References -- Appendix A: statistics tables -- Index.
9781506329765 $114.47 1506329764
2016030496
Multivariate analysis.
Social sciences--Statistical methods.
HA31.3 / .M487 2017
Applied multivariate research : design and interpretation / Lawrence S. Meyers, Glenn Gamst, A.J. Guarino. - Third edition. - Los Angeles : SAGE, [2017]. - xxxvii, 978 pages : illustrations ; 27 cm.
Revised edition of the authors's Applied multivariate research, 2013.
Includes bibliographical references and index.
Preface -- About the authors -- An introduction to multivariate design -- An introduction to multivariate design -- Some fundamental research design concepts -- Chapter 3A: data screening -- Chapter 3B: data screening using IBM SPSS -- Basic and advanced regression analysis -- Chapter 4A: Bivariate correlation and simple linear regression -- Chapter 4B: Bivariate correlation and simple linear regression using IBM SPSS -- Chapter 5A: Multiple regression analysis -- Chapter 5B: Multiple regression analysis using IBM SPSS -- Chapter 6A: Beyond statistical regression -- Chapter 6B: Beyond statistical regression using IBM SPSS -- Chapter 7A: Canonical correlation analysis -- Chapter 7B: canonical correlation analysis using IBM SPSS -- Chapter 8A: Multilevel modeling -- Chapter 8B: Multilevel modeling using IBM SPSS -- Chapter 9A: Binary and multinomial logistic regression and ROC analysis -- Chapter 9b: Binary and multinomial logistic regression and roc analysis using IBM SPSS -- Structural relationships of measured and latent variables -- Chapter 10A: Principal components analysis and exploratory factor analysis -- Chapter 10B: principal components analysis and exploratory factor analysis using IBM SPSS -- Chapter 11A: confirmatory factor analysis -- Chapter 11B: confirmatory factor analysis using IBM SPSS AMOS -- Chapter 12A: path analysis: multiple regression analysis -- Chapter 12B: Path analysis : multiple regression analysis using IBM SPSS -- Chapter 13A: Path analysis : structural equation modeling -- Chapter 13B: Path analysis : structural equation modeling using IBM SPSS AMOS -- Chapter 14A: Structural equation modeling -- Chapter 14B: structural equation modeling using IBM SPSS AMOS -- Chapter 15A: measurement and structural equation modeling invariance : applying a model to different group -- Chapter 15B: assessing measurement and structural invariance for confirmatory factor -- Analysis and structural equation models using IBM SPSS AMOS -- Consolidating stimuli and cases -- Chapter 16A: Multidimensional scaling -- Chapter 16b: multidimensional scaling using ibm spss -- Chapter 17a: cluster analysis -- Chapter 17B: Cluster analysis using IBM SPSS -- Comparing scores -- Chapter 18A: Between subjects comparisons of means -- Chapter 18B: Between subjects ancova, manova, and mancova using IBM SPSS -- Chapter 19A: Discriminant function analysis -- Chapter 19B: Three-group discriminant function analysis using IBM SPSS -- Chapter 20A: Survival analysis -- Chapter 20B: Survival analysis using IBM SPSS -- References -- Appendix A: statistics tables -- Index.
9781506329765 $114.47 1506329764
2016030496
Multivariate analysis.
Social sciences--Statistical methods.
HA31.3 / .M487 2017