PSYB04H3 Lecture Notes - Lecture 12: Type I And Type Ii Errors, Effect Size, Sample Size Determination
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Psyb04h3 week 11 importance of studies upload. Alpha (a) = probability of type 1 error (blue area below: 1-a = probability of correct decision when the null is true, no effect found. Beta (b) = probability of type 2 error (pink area below: 1-b = probability of correct decision when the null is not true, an effect is found. Probability of finding effect if one exists in reality. Function of: effect size, type 1 error rate, sample size, rm designs. Alpha conventionally set at . 05 or . 01: p < 0. 05 or 0. 01 for effect to be considered statistically significant. Measuring many variables, only reporting results for some relationships. Reporting data from some group and not the others. Collecting data, analyzing results, participants and re-running analyses. Fishing in the data: higher chances of significant effect. Fraud and misrepresentation: tampering within a study, fake peer review. Not just (cid:271)eing (cid:862)(cid:272)apa(cid:271)le of (cid:271)eing repli(cid:272)ated(cid:863)
