PSY 290 Study Guide - Final Guide: Effect Size, Media Multitasking, Categorical Variable

• School: University of Miami
• Department: Psychology
• Course: PSY 290
• Professor: Jennifer Britton

Document Summary

Association claim- describes the relationship found between two measured variables. Bivariate correlation (bivariate association)- an association that involves exactly two variables. 3 main types of correlations/associations: positive or , negative- or , zero- no association between the variables, a measure of overall happiness. Ear for 4 days: combined two measures: Cacioppo & colleagues (2013): measured correlation between meeting one"s. Findings: people who met online scored a little higher on the csi. Findings: those who reported doing the most media multitasking did the worst on the ospan task. Categorical data- categories (nominal data: can be measured with numbers but they are not meaningful, mostly uses bar graphs: When at least one of the variables in an association claim is categorical: t-test- measures whether or not the difference between means (group averages) is statistically significant. Effect size- describes the strength of an association. When all else is equal, a larger effect size is often considered more important than a small one.