Applied Multivariate Statistical Concepts

This second edition of Applied Multivariate Statistical Concepts covers the classic and cutting-edge multivariate techniques used in today's research.

Autorentext

Debbie L. Hahs-Vaughn is a Professor in the University of Central Florida's Methodology, Measurement, and Analysis Program in the College of Community Innovation and Education, USA.

Klappentext

This second edition of Applied Multivariate Statistical Concepts covers the classic and cutting-edge multivariate techniques used in today's research.

Inhalt

1. Multivariate Statistics 2. Univariate and Bivariate Statistics Review 3. Data Screening 4. Multiple Linear Regression 5. Logistic Regression 6.Multivariate Analysis of Variance: Single Factor, Factorial, and Repeated Measures Designs 7. Discriminant Analysis 8. Cluster Analysis 9. Exploratory Factor Analysis 10. Path Analysis, Confirmatory Factor Analysis, and Structural Equation Modeling 11. Multilevel Linear Modeling 12. Propensity Score Analysis