THE UNIVERSITY OF EDINBURGH 
PSYL08015: Data Analysis for Psychology in R 2
* Final Examination Guide and Notes 2025 
 
- Part A: Topic Summary and Exam Tips 
- Part B: Exam Practice Questions and Answers 
- Part C: Sample Final Examination Paper 
- Part D: Suggested Solutions to Final Exam Paper 
 
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University of Edinburgh

University of Edinburgh - PSYL08015: Data Analysis for Psychology in R 2

£35.00

ACADEMIC YEAR 2024 - 2025

University	University of Edinburgh
Study Level	Undergraduate
Course Code	PSYL08015
Course Name	Data Analysis for Psychology in R 2
Notes Title	Final Examination Guide and Notes
Format	PDF
Page Length	54

* A comprehensive and easy-to-understand set of notes covering all lecture content and examinable topics for PSYL08015: Data Analysis for Psychology in R 2, University of Edinburgh. These colour-coded notes are organised in an understandable way. They offer vital information about exam format, what will be on the exam, and key concepts you should focus your studies on. Concepts and principles are not simply named or described in passing but are described thoroughly. You can use these notes as a reference, to understand the topics better and improve your grades in the final examination!

- University of Edinburgh's Data Analysis for Psychology in R 2 (PSYL08015) provides a thorough introduction to linear models for answering psychological questions within both correlational and experimental study designs. The course covers the theoretical foundations of linear models and their practical implementation using the R programming language. Students will learn how to specify, run, and interpret linear models, addressing data from various psychological study types. Additionally, the course emphasises data cleaning, management, visualization, model assumption checking, diagnostics, and interpretation. This knowledge is delivered through lectures focused on theory and application, paired with labs designed to cultivate practical data skills and the production of reproducible documents using R/Markdown.

✔ Learning Outcomes:

Understand and interpret linear models for continuous outcomes and predictors
Understand and interpret linear models for experimental designs with categorical predictors
Understand and interpret generalised linear models for binary outcomes
Understand and discuss statistical inference, model building and model evaluation for linear models
Implement the above referenced models using R and present and interpret the results

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University of Edinburgh - PSYL08015: Data Analysis for Psychology in R 2

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