Parametric Tests of Difference: Unrelated & Related T-tests (AQA A-Level Psychology): Flashcards
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Parametric tests
Parametric tests
More powerful stats tests than non-parametric; need specific criteria
3 criteria for parametric tests
3 criteria for parametric tests
Interval data, homogeneity of variance, normal distribution
What are t-tests?
What are t-tests?
Parametric tests that test for significant differences between means
When to use unrelated t-test
When to use unrelated t-test
Comparing 2 separate, independent groups (different participants)
When to use related t-test
When to use related t-test
Comparing same participants under different conditions
Unrelated t-test degrees of freedom formula
Unrelated t-test degrees of freedom formula
df = N1 + N2 - 2
Related t-test degrees of freedom formula
Related t-test degrees of freedom formula
df = N - 1
Significance decision rule
Significance decision rule
Calc > crit = sig (reject null); calc < crit = not sig
Related t-test advantage
Related t-test advantage
More sensitive - controls for individual differences
T-test choice depends on
T-test choice depends on
Experimental design, not type of data