week 5.1 IRM

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Which statistical test should be used when comparing means of more than two groups?

Chi-square test

Correlation test

T-test

ANOVA (correct)

What does the F value in ANOVA represent?

Effect size

Difference between groups

Error variance

Model variance (correct)

What does a statistically significant F value indicate in ANOVA?

There is at least one significant difference between groups (correct)

The error variance is small

There is no significant difference between groups

The effect size is large

True or false: ANOVA investigates differences in variances between groups?

False Signup and view all the answers

True or false: ANOVA can be used when there are only two groups?

False Signup and view all the answers

True or false: Post-hoc tests can be conducted only if the F value in ANOVA is statistically significant?

True Signup and view all the answers

Match the following terms with their descriptions in ANOVA:

One-way = Refers to having one independent variable/factor F = The key ANOVA estimate, calculated as model variance divided by error variance η2 = Effect size measure in ANOVA Post-hoc tests = Used to determine where the significant group difference(s) is(are) Signup and view all the answers

Match the following effect sizes with their corresponding η2 values in ANOVA:

Small effect = 0.01 Medium effect = 0.06 Large effect = 0.14 Signup and view all the answers

Match the following ANOVA terms with their definitions:

Model variance = Part of the calculation for the F estimate Error variance = Often referred to as residuals, part of the calculation for the F estimate Statistically significant F = Indicates that there is at least one statistically significant difference between the groups One-way between group ANOVAs = Each participant is in a different group Signup and view all the answers