PSYC 212 Lecture Notes - Lecture 13: Bonferroni Correction, Type I And Type Ii Errors, Dependent And Independent Variables
6 Dec 2016
School
Department
Course
Professor
Document Summary
We use a between-subjects anova to compare three or more separate groups of people on the same continuous outcome measure. Why is it called a (cid:862)one-way(cid:863) anova: a one-way anova has only one independent variable, later, we will learn about two-way anova (a. k. a. , factorial anova), where we have two independent variables both affecting the same dependent variable. The one-way anova that we will learn is between-subjects anova: compare 3+ separate groups that are measured at the same time. Comparing three of more groups that differ in some way: e. g. , does mean income differ between the five boroughs of nyc, e. g. , is there a relationship between class year and hours of study. Conducting a one-way anova will be w two-step process: 1) figure out whether there are any difference at all (main effect, 2) figure out exactly where the difference(s) is/are (post-hoc tests)
