PSC 41 Study Guide - Midterm Guide: Null Hypothesis, Internal Validity, Face Validity
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PSC 41 Full Course Notes
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Null hypothesis ex: the true effect is zero/no difference between groups or the observed difference is a fluke . : the true effect size is not zero or the observed effect is not a fluke . Appropriate conclusion: effect = diff. between groups or correlation b/w variables. External validity-extent to which an effect occurs and affects overall population. Interaction-the effect of an iv that is dependent on the level of other ivs (1 predictor variable affects another differently across levels of the other predictor variable) P-value=strength of statistical evidence; probability of getting an effect as large or larger, if null is true: prob. of a false positive if we repeat the study, small p-value=low probability (of false positive, large p-value high probability. When p< 0. 05=statistically significant => reject null=>evidence supports data. When p > 0. 05= not statistically significant => fail to reject +> evidence does not support. Power=likelihood that study will detect effect when there is one (increase sample size)
