Handbook of Univariate and Multivariate Data Analysis with IBM SPSS

This accessible handbook explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. Updated with the SPSS statistical package for Windows, this second edition now covers more topics, including tests of assumptions and how to deal with missing data. It also offers three new chapters on multiple discriminant analysis, logistic regression, and canonical correlation and expands coverage of factor analysis, path analysis, and structural equation modeling.

Robert Ho

Inferential Statistics and Test Selection. Introduction to SPSS. Multiple Response. t Test for Independent Groups. Paired-Samples t Test. One-Way Analysis of Variance, with Post Hoc Comparisons. Factorial Analysis of Variance. General Linear Model (GLM) Multivariate Analysis. General Linear Model: Repeated Measures Analysis. Correlation. Linear Regression. Factor Analysis. Reliability. Multiple Regression. Multiple Discriminant Analysis. Logistic Regression. Canonical Correlation Analysis. Structural Equation Modeling. Nonparametric Tests. Appendix. Bibliography. Index.