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Full Year

Data Analysis for Psychology in R 2 (PSYL08015)

Subject

Psychology

College

CAHSS

Credits

20

Normal Year Taken

2

Delivery Session Year

2023/2024

Pre-requisites

Please see Additional Restrictions.

Course Summary

This course provides a thorough introduction to linear models applied to both correlational and experimental study designs in answering psychological questions. We will cover the theoretical background to linear models, as well as practical implementation using R.

Course Description

This course will provide a thorough introduction to the linear model, and describe how a variety of methods discussed in the psychological literature (correlation, t-tests, ANOVA, regression) are all specific examples of linear models. We will teach students how to specify, run and interpret linear models to answer a variety of psychological questions, analysing data from both correlational and experimental study designs. Specifically, the course will cover data cleaning, management, and visualization, linear models with continuous and categorical predictors and outcomes, model assumption checking and diagnostics, and model interpretation. Lectures will primarily provide the theoretical background alongside applied examples. Labs will provide the practical data skills as well as practice producing reproducible documents using RMarkdown.

Assessment Information

Written Exam 60%, Coursework 40%, Practical Exam 0%

Additional Restrictions

This course cannot be taken alongside Data Analysis for Psychology in R1 (PSYL08013). Please note that spaces on Psychology courses are limited and this subject area is very popular, so enrolment in Psychology courses cannot be guaranteed.

view the timetable and further details for this course