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6 Cards in this Set

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parametric data

paired sample t test - is the difference large enough that it is significant?

t tests

these take the difference between t1 and t2 and uses this data

t value

t value increases as difference increases assuming they increase in the same direction


less variation in scores


larger score more likely to be significant



Cohen's d

this calculates the effect size in t tests

effect sizes (Cohen's d)

0.2 - 0.5 = small


0.5 - 0.8 = medium


0.8 + = large

standard form

t(N) = t- value, p = 3 dp (1 or 2 tailed), Cohen's d = 2 dp