¹û¶³Ó°Ôº

This module will follow on from PSYC0223, providing you with both more advanced tools for data manipulation and plotting, as well as further training in more advanced statistical procedures. You will develop expertise in the application of Mixed Effects Models, one of the most commonly used techniques in psychology generally, which have a number of properties that make them especially useful in research concerning language and speech. We will also spend some weeks focussing on so-called 'data wrangling' and the production of high-quality data plots, using the open-source software package R, as well as the use of R in statistical analyses more generally.

This module is taught in 10 weekly meetings with a mixture of lectures, Q&A sessions and workshop exercises.

Indicative Topics

• Linear Mixed Effects Models: random intercepts & slopes, the Intraclass Correlation Coefficient (ICC)
• Generalised Linear Models: Logistic Regression
• Generalised Linear Mixed Effects Models
• Data Wrangling & plotting in R
• Statistical analyses in R

Module Aims

At the end of this module, students will be able to:

• Use R and the so-called tidyverse to summarise and restructure data sets in an efficient and flexible way, as well as to generate a number of different types of high-quality figures from data
• Specify and interpret analyses of normally-distributed as well as binomial data using generalised mixed effects models
• Perform a number of statistical techniques using R

Ìý

Ìý