This chapter focused on the variety of methods available in SPSS Statistics to conduct comparisons of Means. The basic analysis of variance and tests of linearity included in the Means procedure was explored in some detail. Two group comparisons, using t-test in the single sample, independent sample, and paired sample situations, were examined as well. One-way ANOVA, with its multiple comparisons and homogenous subset capabilities, based on 14 possible test statistics, was covered in-depth. Finally, the syntax-only ANOVA procedure was introduced as a method of handling multiple independent factors, and for detecting significant interactions among these factors.
The next chapter will look at correlational analysis, which is appropriate for analyses where both the independent and dependent variables are interval-level measures. ANOVA statistics will be seen again when regression...
