Date isn't significant

12% of variability in data can be explained by treatment effect when all other effects have been removed

Data is significant at the 0.12 level

88% of variability in data can be explained by treatment effect when all other effects have been removed

Large effect size

More likely that results are signifncant

Less likley that the results are significant

Small effect size

Small - 0.1, medium - 0.6, large - 1.14

None of the above

Small - 0.01, medium - 0.06, large - 0.14

Small - 0.1, medium - 0.6, large - 0.14

Are affected by sample sizes like p values

Are affect by extraneous variables

Are affect by sample sizes like t tests

Aren't affected by sample sizes like p values

Problems reading regular words but not irregular words or non words

Problems reading irregular words but not regular words or non words

None of the above

Problems reading non words but not regular or irregular words

None of the above

Variable affects task A but not task B

Variable affects task A and task B

Variable doesnt affect task A but affects task B

Speaking to some in private about a problem/event

None of the above

Speaking aloud about a problem/event

Reading diaries to see how someone felt about an event

Behavioural methods tells us about structure and processes

Behavioural methods that tell us about everything

None of the above

Behavioural methods tell us about processed but cant tell us everything

Simple effects comparisons

Complex main comparisons

Simple comparisons

Pairwise comparisons

Complex comparisons

Pairwise comparisons

Simple comparisons

Simple effects comparisons

Simple comparisons

Pairwise comparisons

Complex comparisons

Simple effects comparisons

When it is planned (a priori)

For both unplanned (post hoc) and planned (a priori).

You should never adjust a Type 1 as there is no need

When it is unplanned (post-hoc)

Using Bonferroni

By increasing the p value

By reducing the p value

Using Cohen's d

To tell us whether the test was successful

To tell us how participants performed differently compared to one another

None of the above

To pinpoint treatment effects

None of the above

Variance associated with individual differences

Variance due to experimental treatments

Variance due to individual differences and experimental treatments