Stats Flashcards
What are parametric assumptions about data?
Interval/ratio (scale), normal distribution and homogenous variance.
What determines the shape of a t-distribution?
Degrees of freedom (sample size).
What is a t value?
The difference between means divided by the variability about means.
There is a significant difference if the p-value is (higher/lower) than than the alpha level.
Lower
Equal variance is assumed if Levenne’s statistic is (higher/lower) than the alpha level.
Higher
What is the familywise error?
The increased probability of type 1 error due to doing multiple comparisons.
Describe one-way ANOVA.
Test for one independent variable with multiple conditions.
Describe the assumption of spherity.
That the variance of the differences between conditions is equal.
When are a priori comparisons appropriate?
When there was a specific hypothesis.
When are post hoc tests appropriate?
When there was no specific hypothesis.
What is the non-parametric alternative to one-way between-subjects ANOVA?
Kruskal-Wallace test.
What is the non-parametric alternative to one-way within-subjects ANOVA?
Friedman test.
What are main effects?
How independent variables individually affect the dependent variable.
What are interactions?
How independent variables combine to affect the dependent variable.
What are marginal means?
A comparison of the means of independent variables separately.
