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1 - 2 of 2 results for: PSYCH 252: Statistical Methods for Behavioral and Social Sciences

OB 652: Statistical Methods for Behavioral and Social Sciences

For students who seek experience and advanced training in empirical research methods. Analysis of experimental data with methods ranging from simple chi-square to multiple regression models, including an introduction to mixed models. Uses the free statistical computing package R. Prerequisite: An intro stats class (Same as PSYCH 252 -- Co-taught with Ewart Thomas).
Last offered: Autumn 2017

PSYCH 252: Statistical Methods for Behavioral and Social Sciences

This course offers an introduction to advanced topics in statistics with the focus of understanding data in the behavioral and social sciences. It is a practical course in which learning statistical concepts and building models in R go hand in hand. The course is organized into three parts: In the first part, we will learn how to visualize, wrangle, and simulate data in R. In the second part, we will cover topics in frequentist statistics (such as multiple regression, logistic regression, and mixed effects models) using the general linear model as an organizing framework. We will learn how to compare models using simulation methods such as bootstrapping and cross-validation. In the third part, we will focus on Bayesian data analysis as an alternative framework for answering statistical questions.
Terms: Win | Units: 5
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