PSYC 305 Study Guide - Final Guide: Observational Error, Analysis Of Covariance, Total Variation
11 Mar 2013
School
Department
Course
Professor
Document Summary
An interaction is present when the effects of one factor on dv change at the different levels of the other factor. If each observed f value is greater than its critical value, you may reject the corresponding null hypothesis: alternatively, look at the p-value of each observed f value; if p < . 05, you may reject null hypothesis. However, in computing the f-ratio for each test, we use ms(w) from the two-way anova in the denominator. If this effect is significant, it would simply tell us that subjects do differ. Independent or dependent samples: chi-square ( 2) test, used for testing independence of nominal variables. Independence: when variables are not associated, scores on one variable do not depend on scores on the other, data are arranged on a contingency table, prior assumptions: Independent observations: random samples, a sufficiently large sample size is required (at least 20, average cell frequency should be.
