Statistical Modeling for Social and Behavioral Sciences | Harvard University

Understanding and performing statistical analyses is a vital ability for those working in the psychological and behavioral sciences. Regardless of a person's specialty, the concepts of variability, probability, and predictive modeling are fundamental for answering questions involving data. This intermediate level statistics course is designed to help students understand how to manage data, formulate strong questions/hypotheses, perform analyses, and accurately evaluate statistical results and output. We use the free and open-source program R/RStudio to run statistical analyses. Because we use this tool, both academic and industry-oriented students leave the course with the capability to run complex analyses without the need for expensive software. We cover topics related to the general linear model, including regression, analysis of variance (ANOVA), and analysis of covariance (ANCOVA). Students cannot take both PSYC E-1900 and STAT E-150 for degree or certificate credit.