Using the same accessible, hands-on approach as its best-selling predecessor, the Handbook of Univariate and Multivariate Data Analysis with IBM SPSS, Second Edition explains how to apply statistical tests to experimental findings, identify the assumptions underlying the tests, and interpret the findings. This second edition now covers more topics

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.