When you have a statistically significant interaction, reporting the main effects can be misleading. SPSS Statistics Post hoc tests – simple main effects in SPSS Statistics 448), but there were statistically significant differences between educational levels ( p <. We can see from the table above that there was no statistically significant difference in mean interest in politics between males and females ( p =. You may also wish to report the results of "gender" and "education_level", but again, these need to be interpreted in the context of the interaction result. You can see from the " Sig." column that we have a statistically significant interaction at the p =. It is important to first look at the "gender*education_level" interaction as this will determine how you can interpret your results (see our enhanced guide for more information). These rows inform us whether our independent variables (the "gender" and "education_level" rows) and their interaction (the "gender*education_level" row) have a statistically significant effect on the dependent variable, "interest in politics".
The particular rows we are interested in are the "gender", "education_level" and "gender*education_level" rows, and these are highlighted above. Published with written permission from SPSS Statistics, IBM Corporation. We show you these procedures in SPSS Statistics, as well as how to interpret and write up your results in our enhanced two-way ANOVA guide.īelow, we take you through each of the main tables required to understand your results from the two-way ANOVA. Alternatively, if you do not have a statistically significant interaction, there are other procedures you will have to follow. This includes relevant boxplots, and output from your Shapiro-Wilk test for normality and test for homogeneity of variances.įinally, if you have a statistically significant interaction, you will also need to report simple main effects.
In this section, we show you the main tables required to understand your results from the two-way ANOVA, including descriptives, between-subjects effects, Tukey post hoc tests (multiple comparisons), a plot of the results, and how to write up these results.įor a complete explanation of the output you have to interpret when checking your data for the six assumptions required to carry out a two-way ANOVA, see our enhanced guide. SPSS Statistics generates quite a few tables in its output from a two-way ANOVA. Two-way ANOVA in SPSS Statistics (cont.) SPSS Statistics Output of the Two-way ANOVA
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