Applied Statistical Data Analysis in Psychology I
PSY 1950
Subject & Catalog Number
Course Information
Description
The primary goal of this course is to offer intense, foundational exposure to psychological statistics, focusing heavily on applications and computation using the R environment for statistical computing. The methodological core of the first part of the course is the linear model which includes methods such as regression, t-test, analysis of variance (ANOVA), and others. The second part of the course focuses on extensions in terms of linear mixed-effects models (aka multilevel models) and generalized linear mixed-effects models for modeling longitudinal and hierarchical data structures. Students will be exposed to the Frequentist as well as the Bayesian inferential framework.
Course Notes
Required of doctoral students in Psychology.
Recommended Prep
One of Psychology 1900, Statistics 100, 101, 102, 104, or the equivalent.
Available for Harvard Cross Registration
NOTE: This course requires additional sections; you will be prompted to choose secondary components during the Add to Cart process
