T-tests
Denominator of a t-statistic calculation.
What is the Standard Error.
MS Model / MS Error
What is the F-statistic
Effect if one IV on one DV.
What is the Main Effect.
The minimum number of within-subject factors needed to be a Mixed ANOVA.
One
This is what the "C" stands for within ANCOVA.
Covariate.
Degree of freedom for a dependent t-test if n = 20.
What is 19.
Type of error a ANOVA test protects against when there are multiple comparisons.
Type I error rate
Combined effect of 2 or more IVs on one DV.
What is the Interaction.
Assumption specific to repeated measures designs and requires no significant differences in the variances of differences between timepoints.
What is Sphericity.
The covariate must be related to this within an ANCOVA model.
What is the IV and DV.
Standard Error of Difference Score is used with this type of t-test.
Dependent t-test.
Numerator degrees of freedom if K = 5.
What is 4.
Visual way of communicating a 2 or 3 way interaction.
Clustered line graphs.
The number of interactions in a 5 x 5 Mixed Design ANOVA test.
One.
Use of ANCOVA decreases with source of variance, which ultimately improves statistical power.
What is Error Variance.
Name of the scaled effect size often calculated alongside a t-statistic.
What is Cohen's d.
Denominator degrees of freedom if K = 5 and n = 30.
What is 25.
The number of all 2-way and 3-way interactions present in a 2 x 3 x 4 Factorial Design.
4 interactions (one three-way and three two-ways)
If Sphericity is violated, correct factors are applied to this within an ANOVA model.
What are the degrees of freedom.
What covariate can control for random imbalances in the outcome collected before commencement of an experiment within a RCT?
What is Baseline Scores.
Assumptions of the independent t-test.
What is Normality of Errors and Homogeneity of Variance.
Conservative Post Hoc follow up test that divides alpha by number of comparisons.
What is Bonferroni.
Interaction degrees of freedom if Factor A k = 3 and Factor B k = 3.
What is 4.
Numerical notation with a design including 2 between subject factors, each with 3 levels; and one within-subjects factor, with 2 levels.
3 x 3 x 2 Mixed Design ANOVA
The major assumption of ANCOVA.
Homogeneity of Regression Slopes