PN5005 Methods of Data Analysis in Psychology

Academic year

2024 to 2025 Semester 2

Further information on which modules are specific to your programme.

Key module information

SCOTCAT credits

30

The Scottish Credit Accumulation and Transfer (SCOTCAT) system allows credits gained in Scotland to be transferred between institutions. The number of credits associated with a module gives an indication of the amount of learning effort required by the learner. European Credit Transfer System (ECTS) credits are half the value of SCOTCAT credits.

SCQF level

SCQF level 11

The Scottish Credit and Qualifications Framework (SCQF) provides an indication of the complexity of award qualifications and associated learning and operates on an ascending numeric scale from Levels 1-12 with SCQF Level 10 equating to a Scottish undergraduate Honours degree.

Planned timetable

Mondays 12-3PM; tutorials TBA

This information is given as indicative. Timetable may change at short notice depending on room availability.

Module coordinator

Dr E M Bowman

Dr E M Bowman
This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module Staff

Team Taught

This information is given as indicative. Staff involved in a module may change at short notice depending on availability and circumstances.

Module description

This module aims to ensure that students are competent in the use of advanced data analysis in psychology. This includes advanced training in common statistics (including regression, analysis of variance and multivariate techniques) plus additional training in qualitative methods. Students will also study more complex topics such as statistical modeling.

Assessment pattern

Coursework = 100%

Re-assessment

Resubmission of failed item(s) of coursework

Learning and teaching methods and delivery

Weekly contact

11 x 3-hour workshops plus optional tutorials.

Intended learning outcomes

  • "understand, implement, and interpret analyses using the general linear model (ANOVA, regression)"
  • "understand, implement, and interpret simple multivariate analyses (MANOVA, PCA, cluster analysis)"
  • perform statistical analyses using IBM SPSS
  • "understand, execute, and implement common nonparametric statistical tests"
  • "understand, execute, and interpret binary logistic regression"
  • "understand, execute, and interpret statistical power analysis"