ABSTRACT
In this chapter, you will learn how to compute two types of analysis of variance (ANOVA) and an appropriate nonparametric statistic. In Problem 1, we will use the oneway or single factor ANOVA to compare three levels of father’s education on several dependent variables (e.g., math achievement). If the ANOVA is statistically significant, you will know that there is a difference somewhere, but you will not know which pairs of means were significantly different In Problem 2, we show you when and how to do appropriate post hoc tests to see which pairs of means were different. In Problem 3, you will compute the Kruskal-Wallis (K-W) test, a nonparametric test similar to one-way ANOVA. In Problem 4, we will introduce you to two-way or factorial ANOVA. This complex statistic is discussed in more detail in our companion book, Leech et al. (2004), SPSS for Intermediate Statistics.
