Data Analysis in Psychology

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