An Introduction to Applied Multivariate Analysis

Contents

Raykov and Marcoulides' new text focuses on the core multivariate statistics topics which are of fundamental relevance for its understanding.

  • Preface.
  • Introduction to Multivariate Statistics.
  • Elements of Matrix Theory.
  • Data Screening and Preliminary Analyses.
  • Multivariate Analysis of Group Differences.
  • Repeated Measure Analysis of Variance.
  • Analysis of Covariance.
  • Principal Component Analysis.
  • Exploratory Factor Analysis.
  • Confirmatory Factor Analysis.
  • Discriminant Function Analysis.
  • Canonical Correlation Analysis.
  • An Introduction to the Analysis of Missing Data.
  • Multivariate Analyses of Change Processes.
  • References.
  • Appendix.