# SPSS Two Way ANOVA

How to report output from SPSS statistics for a two way ANOVA, with the output title on the front of the card and the analysis on the back

Univariate analysis of variance
Carrying out a two way ANOVA.
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Between subjects factor
ignore
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Descriptive statistics
Total sample size of _ is greater/less than the min requirement of 30. Individual group sizes are greater/less than the min of 10. Is/isn't a balanced design with _ in each group. Proceed with confidence/caution
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Levene's test for equality of error variances
Examining levene's test of equality of variances, F(_,_) = _, p=_. Non/Significant therefore...
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Test of between subjects effects
For the main effect of __, F(_,_) = _, p=_, n2p=_, significance, effect size, therefore __. For the main effect of __. For the interaction between _ and _ F(_,_) =_, p=_, n2p=_, therefore...
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Estimated marginal means
The omnibus test for DV in relation to IV1 was significant... X (M=__) was significantly higher than Y (M=__). (For when there are two groups)
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Post Hoc Tests
Examining the pairwise comparisons for __ using scheffe. X had the lowest (M=__), significantly lower than Y (M=_, p=_), and Z (M=_,p=_) etc... (for when there are three or more groups)
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Homogenous subsets
Don't need but may help with interpretation and overall conclusions
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Estimated marginal means graph
Don't need but may help with interpretation and overall conclusions
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T-tests
Carrying out independent samples t-tests to investigate the interaction between _ and _.
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T-test - IV - group 1
Testing forhomogeneity of variances using Levene's, F=_, p=_. This is non/significant therefore_. Comparing the group means, X (M=_) had significantly more than Y(M=_), t(_) = _, p=_. Repeat for all t tests
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Overall
Summary of means and where the interaction was significant
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## Other cards in this set

### Card 2

#### Front

Between subjects factor

ignore

### Card 3

#### Front

Descriptive statistics

### Card 4

#### Front

Levene's test for equality of error variances

### Card 5

#### Front

Test of between subjects effects