Data Analysis in the Social Sciences

Catalog description

This course prepares students to understand, interpret, and conduct analyses of data for psychological studies and experiments. The course emphasizes the following concepts: 1) descriptive statistics (e.g., means, standard deviations), 2) standardized scores, 3) sampling error and uncertainty, 4) confidence intervals, 5) statistical significance, and 6) effect size. Analysis techniques are discussed for one-sample and paired-samples designs, mean comparisons between groups, meta-analysis, factorial designs, and correlation and multiple regression. Students will learn to use software to conduct statistical analyses and write about statistical results. Access to a personal computer or laptop running Windows, MacOS, or Linux is highly recommended. Prerequisite: acceptable math placement score or grade of C or higher in MATH 001 or 091. QL