Course Catalogue

Statistical Models 3 PSYCH4037

  • Academic Session: 2026-27
  • School: School of Psychology and Neuroscience
  • Credits: 10
  • Level: Level 4 (SCQF level 10)
  • Typically Offered: Semester 2
  • Available to Visiting Students: No
  • Collaborative Online International Learning: No
  • Curriculum For Life: No

Short Description

This course provides an overview of basic statistical modelling for the analysis of psychological data. 

Timetable

Weekly one-hour lectures

Requirements of Entry

Entry to Honours Psychology is guaranteed by a B2 average over Psychology 2A and 2B as well as the fulfilment of College regulations.

Excluded Courses

None

Co-requisites

None

Assessment

Two 1-hour practical skills assessments, each worth 50% of the total grade, occurring at the midpoint and end of the semester.

Course Aims

To teach students a conceptual understanding of basic statistical modelling approaches to the analysis of psychological data and the practical skills to apply these approaches and interpret statistical output.

Intended Learning Outcomes of Course

By the end of this course students will be able to:

■ Integrate knowledge about study design and statistics to formulate and estimate the General Linear Model (GLM) appropriate to the various types of study designs encountered in psychology

■ Visualise and interpret various effects (including interactions) in multi-way designs.

■ Estimate linear mixed-effects models and describe their relation to traditional techniques such as ANOVA and multiple regression.

■ Formulate and estimate path models and interpret the statistical output.

■ Perform logistic regression and explain and interpret the statistical output.

■ Create reproducible data analysis scripts and reports within the R statistical programming environment.

Minimum Requirement for Award of Credits

No exceptions