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.
#Simple main effect spss code how to
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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