Multivariate Analysis for the Behavioral Sciences, Second Edition [Hardcover]

1. Data, Measurement, and Models. 2. Looking at Data. 3. Simple Linear and Locally Weighted Regression. 4.Multiple Linear Regression. 5. Generalized Linear Models. 6. Applying Logistic Regression. 7. Survival Analysis. 8. Analysis of Longitudinal Data I: Graphical Displays and Summary Measure Approach. 9. Analysis of Longitudinal Data II: Linear Mixed Effects Models for Normal Response Variables. 10. Analysis of Longitudinal Data III: Non-Normal Responses. 11. Missing Values. 12. Multivariate Data and Multivariate Analysis. 13. Principal Components Analysis. 14. Multidimensional Scaling and Correspondence Analysis. 15. Exploratory Factor Analysis. 16. Confirmatory Factor Analysis and Structural Equation Models. 17. Cluster Analysis. 18 Grouped Multivariate Data.

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists.

Multivariate Analysis for the Behavioral Sciences, Second Edition is designed to show how a variety of statistical methods can be used to analyse data collected by psychologists and other behavioral scientists. Assuming some familiarity with introductory statistics, the book begins by briefly describing a variety of study designs used in the behavioral sciences, and the concept of models for data analysis. The contentious issues of p-values and confidence intervals are also discussed in the introductory chapter.
After describing graphical methods, the book covers regression methods, including simple linear regression, multiple regression, locally weighted regression, generalized linear models, logistic regression, and survival analysis. There are further chapters covering longitudinal data and missing values, before the last seven chapters deal with multivariate analysil-