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Multivariate Data Analysis.
Abstract
I Introduction 1 Introduction II Preparing For a MV Analysis 2 Examining Your Data 3 Factor Analysis III Dependence Techniques 4 Multiple Regression Analysis 5 Multiple Discriminate Analysis and Logistic Regression 6 Multivariate Analysis of Variance 7 Conjoint Analysis IV Interdependence Techniques 8 Cluster Analysis 9 Multidimensional Scaling and Correspondence Analysis V Moving Beyond the Basic Techniques 10 Structural Equation Modeling: Overview 10a Appendix -- SEM 11 CFA: Confirmatory Factor Analysis 11a Appendix -- CFA 12 SEM: Testing A Structural Model 12a Appendix -- SEM APPENDIX A Basic Stats
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Metadata
- Authors
- Amick, D. J., Cooley, W. W., & Lohnes, P. R.
- Venue
- Contemporary Sociology
- Publisher
- SAGE Publications
- Published
- 1972-03
- Volume
- 1
- Issue
- 2
- Pages
- 126
- ISSN
- 0094-3061 (ISSN-L)
- OpenAlex
- W1480544864
- Cited by
- 2,915
- References
- 0
- FWCI
- 29.87
- Type
- journal article
- Language
- en
- Open access
- closed
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- Amick, D. J., Cooley, W. W., & Lohnes, P. R. (1972). Multivariate Data Analysis. Contemporary Sociology. https://doi.org/10.2307/2062821
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
