PSYC 210 Chapter Notes -Type I And Type Ii Errors, Statistical Power, Null Hypothesis
14 Oct 2012
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Document Summary
Decision errors incorrect conclusion in hypothesis testing in relation to the real but unknown situation despite doing the correct calculations and steps. Type i error alpha ( ) rejecting the null hypothesis when in fact it is true; getting a statistically significant result when in fact the research hypothesis is not true. Type ii error beta ( ) failing to reject the null hypothesis when in fact it is false; failing to get a statistically significant result when in fact the research hypothesis is true. Effect size conventions standard rules about what to consider a small, medium, and large effect size, based on what is typical in psychology research; also known as cohen"s conventions. Meta-analysis statistical method for combining effect sizes from different studies. Statistical power probability that a study will give a significant result if the research hypothesis is true. Effect size (d) (d = [ 1 - 2]/ ) Predicted difference between population means ( 1 - 2)
