PSYC08H3 Chapter Notes - Chapter 11: Heteroscedasticity, Homoscedasticity, Squared Deviations From The Mean
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Analysis of variance: deals with differences between or among sample means, allows us to deal with two or more independent variables simultaneously, as well as the interacting effects of two or more variables. One way anova: anova involving one independent variable with multiple levels of measurement. Homogeneity of variance: basic assumption underlying the anova, each of our populations has the same variance, aka homoscedasticity. 1. the variance unrelated to any treatment differences: which is variability of scores within the same condition, error within group treatments. Heterogeneity of variance: populations having different variances a. this is a problem, aka heteroscedasticity. Ms error: estimate of population variance, aka ms within, does not depend on whether h0 is true or false. Treatment effect: aspect of the structural model a. tj represented by the difference between the mean of treatment and the grand mean.
