APSY2216 Lecture Notes - Lecture 19: Statistical Inference, Bar Chart, Pie Chart

• School: Boston College
• Department: Counseling, Developmental, and Educational Psychology
• Course: APSY2216
• Professor: Thomson

Document Summary

Following week: final week of class time before presenting research proposals. Descriptive statistics - summarizing data from full sample in terms of averages, ranges, percentages, etc. Representing relationships in data that explains how variables of interest were measured. Descriptive tables (percent for categorical variables, mean or sd for continuous) - include a note. Look at one variable at a time, not at relationships. Cross-break table - compare values on one variable and values on another variable. Bar graph - represent categorical variable compared to continuous variable. Cluster bar graph - important for if you are using a moderator variable. Correlations table - comparing two continuous variables. See the slides on canvas for samples of these tables and graphs. Scatterplot with regression line - two continuous variables. For all quantitative studies, you should have . Compare two categorical variables - look at frequencies. Compare one categorical and one continuous variable - report mean/sd/range.