PSYC 210 Chapter Notes -Type I And Type Ii Errors, Null Hypothesis, Effect Size
25 Nov 2012
School
Department
Course
Professor
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)
