The one-way ANOVA has several assumptions:

- Dependent measure is interval; independent is nominal
- Normal distrubtion of data in dependent measure
- Homogeneity of varience in dependent measure
- Independence of groups

Consider the evaluation data in the evals.sav file. For the analysis on whether students' evaluations of instructors are determined by the students' expected grades, the dependent variable is not interval. As a result, it is not legitimate to examine this question with ANOVA.

An applicable statistic is the Kruskal-Wallis, which has the following assumptions:

- Dependent measure is either ordinal or interval, but not completely normally distributed
- All groups are independent
- Groups are similar in shape

To access Kruskall-Wallis in SPSS,

- Select "Analyze" then "Nonparametric Tests" then "K Independent Samples"
- Select one or more numeric variables
- Select a grouping variable
- Click "Define Range" to specify minimum and maximum integer values for the grouping variable.