A test of an association (difference or correlation) between two variables or conditions. Data should be nominal level using an unrelated independent design.
Chi-Squared
1 of 7
A test for a significant difference between two sets of scores. Data should be at least ordinal level using an unrelated (independent) design.
Mann-Whitney
2 of 7
A test for a significant difference between two sets of scores. Data should be at least ordinal level using a related design (repeated measures).
Wilcoxon
3 of 7
A test for correlation when data is at least ordinal level.
Spearman's Rho
4 of 7
A parametric test for correlation when data is at interval level.
Pearson's R
5 of 7
Related T-Test
A parametric test for difference between two sets of scores. Data must be interval with a related design, e.g repeated measures or matched pairs.
6 of 7
Unrelated T-test
A parametric test for difference between two sets of scores. Data must be interval with an unrelated design e.g independent groups.
7 of 7
Other cards in this set
Card 2
Front
A test for a significant difference between two sets of scores. Data should be at least ordinal level using an unrelated (independent) design.
Back
Mann-Whitney
Card 3
Front
A test for a significant difference between two sets of scores. Data should be at least ordinal level using a related design (repeated measures).
Back
Card 4
Front
A test for correlation when data is at least ordinal level.
Back
Card 5
Front
A parametric test for correlation when data is at interval level.
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