Statistical Models 3H PSYCH4037

  • Academic Session: 2019-20
  • School: School of Psychology
  • Credits: 10
  • Level: Level 4 (SCQF level 10)
  • Typically Offered: Semester 1
  • Available to Visiting Students: Yes
  • Available to Erasmus Students: Yes

Short Description

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

Timetable

10 lectures over a ten week period.

Requirements of Entry

Entry to Honours Psychology is guaranteed by a B2 average over Psychology 2A and 2B. To enter level 4 honours, a satisfactory performance in level 3 honours is required as well as the fulfilment of College regulations

Excluded Courses

None

Assessment

Formal written examination 60%

Practical skills assessments 40%: two timed one hour take-home assignments taking place at the start of weeks 5 and 8

Main Assessment In: December

Course Aims

To provide an understanding of basic statistical modelling approaches to the analysis of psychological data.

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, especially studies with repeated observations.

■ 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.

■ 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

Students must submit at least 75% by weight of the components (including examinations) of the course's summative assessment.