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Applied multivariate research : design and interpretation / Lawrence S. Meyers, Glenn Gamst, A.J. Guarino.

By: Contributor(s): Material type: TextTextPublisher: Los Angeles : SAGE, [2017]Edition: Third editionDescription: xxxvii, 978 pages : illustrations ; 27 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781506329765
  • 1506329764
Subject(s): LOC classification:
  • HA31.3 .M487 2017
Contents:
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.
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Item type Current library Home library Call number Copy number Status Date due Barcode
Books Books Chinhoyi University of Technology Libraries Chinhoyi University of Technology Libraries HA 31.3 MEY (Browse shelf(Opens below)) c.045021 Available BK0052384

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.

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