Research Methods 1 (DClin) R Sessions
Welcome to the module
This site accompanies PSY4179-N and is specifically focused on the quantitative research design/stats/R sessions delivered by Christopher Wilson.
Information about the learning outcomes, assessments and other teaching sessions on the module can be found on the module Blackboard site.
Note: The online version of this guide is accessed at https://christopherjwilson.github.io/APRM23/. To watch the embedded videos on this site, you will need to be logged into Teesside University’s Blackboard site and be a part of this course. Usually there will be a popup window as soon as you load this page. If not:
- Press
Ctrl + T orCmd + T to open a new tab (keeping this one open) and go to https://bb.tees.ac.uk.- Login to Blackboard. Keep the blackboard tab open and switch back to this page.
- Refresh this page (hit
F5 on your keyboard).- You should now be able to play all of the video content.
Data analysis with R
You may be familiar with SPSS from your undergraduate statistics teaching. Please note that we do not use SPSS for teaching and instead use R Statistics. The reason for this is that R is a free statistical package, meaning that it can be accessed in NHS settings that do not have funding for SPSS. This will enable you to run statistical analyses whilst on placement where required, and also enables you to conduct statistical analyses as a qualified Psychologist without incurring any software costs. R is also more flexible than SPSS and has greater functionality. During the teaching you will be shown how to set up and install R, and how to run statistical analyses in this software.
Downloading R and R Studio software
You can obtain R and R Studio from the following links:
Textbooks that can be accessed online
e-books can be accessed from the library website: https://www.tees.ac.uk/depts/lis/
Research Methods and Statistics
Coolican, 2019. Research Methods and Statistics in Psychology. Taylor & Francis Group
Working with R and RStudio to do analysis
Navarro, D. (2017) Learning statistics with R.
Phillips N. D. (2018) YaRrr! The Pirate’s Guide to R
Horton, Pruim and Kaplan (2015) A Student’s Guide to R
Mather, M. (2019) R for Academics
Wickham and Grolemund (2019). R For Data Science
Allaire and Grolemund (2019). R Markdown: The Definitive Guide