PSY202H1 Lecture Notes - Lecture 4: Repeated Measures Design, Analysis Of Variance, Effect Size
Document Summary
Look at formula for one way anova vs factorial anova and be able to tell which is which. Be familiar with formulas but don"t memorize them, Content: all readings and lectures through feb 5. *not just what but why, definitions and application. This is an adaptation of our 1 way independent anova. We still have one iv with 2 or more groups that we"re comparing. In one way independent, diff participants contributed to each group. In repeated, they are dependent, same people provided data for each conditions. Done to remove the individual differences from the denominator. Ssbetween subjects and subtract it from sswithin treatments to find sserror (aka residual). Now we want to figure out how much of the w/in treatments variance is due to error. The ratio of our f statistic is between/error instead of between/within. In one way anova: b/w treatments variance + w/in variance = total variance: w/in treatments variance= b/w subjects variance + error variance.
