PSYB01H3 Study Guide - Social Exclusion, Factorial Experiment, Horoscope
Document Summary
Analysis of variance: also known as the f-test, a general statistical procedure that is used to evaluate the likelihood that results obtained in a study are due to chance. In contrast to additivity in that two plots of data show opposite effects on the dependent variable leading to a crossover or an antagonistic interaction (the two lines of data intersect at a certain point) Error variance: the deviation of individual scores in each group or condition from its respective mean, the goal of experiments is to minimize error variance, variability within group means. Experimental task: organization of how the experimental stimuli will be measured. F-test: aka anova, analysis of variance, computes an f statistic, which is a ratio of two types of variance, systematic variance, error variance. Factorial designs: designs measuring an independent variable, a factor is another name for an independent variable.
