Module code: PSYM148

Module Overview

This module follows on from the semester 1 module Statistics and Data Analysis for the MSc in Psychology (Conversion) (PSYM094). It aims to further students' understanding of statistical methods and foster the skills needed to think critically about psychological research.

Module provider


Module Leader

ASKEW Chris (Psychology)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

Module cap (Maximum number of students): N/A

Overall student workload

Workshop Hours: 16

Independent Learning Hours: 112

Lecture Hours: 18

Tutorial Hours: 4

Module Availability

Semester 2

Prerequisites / Co-requisites

Prior completion of the Semester 1 module, Statistics and Data Analysis for the MSc in Psychology (Conversion) (PSYM094)

Module content

The weekly lectures and workshops will cover theory and practice and related to the following indicative topic areas:
¿ Identifying and evaluating critical arguments
¿ Evaluating theory & evidence
¿ Constructing critical arguments
¿ Analysing repeated measures designs with ANOVA
¿ Factorial/mixed designs using ANOVA
¿ Nonparametric tests
¿ Analysing categorical data

Assessment pattern

Assessment type Unit of assessment Weighting

Alternative Assessment


Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate understanding of both critical thinking and quantitative data analysis.

1. Quantitative coursework (4 pages worth 75% of the module mark). This assignment has been designed to assess competence in test selection in relation to data evaluation, use of jamovi, and writing results in the formal style used in psychology. 

2. Critical thinking coursework (2 pages worth 25% of the module mark). This assignment has been designed to provide students with the opportunity to demonstrate their skill in constructing a sound argument about a psychological question based on a critical evaluation of research.

Module aims

  • Enable students to develop sound arguments based on critical evaluation of psychological research
  • Provide students with the knowledge and skills to analyse quantitative data sets

Learning outcomes

Attributes Developed
001 Be able to understand and evaluate psychological research CKPT
002 Be able to construct sound arguments about psychological questions based on a critical analysis of psychological research CKPT
003 Demonstrate understanding of the theory and assumptions underpinning a range of parametric and nonparametric statistical tests CK
004 Demonstrate a theoretical and practical understanding of conducting statistical analyses using a range of parametric and nonparametric statistical tests CKP
005 Demonstrate an understanding of how to interpret the results of statistical tests and appropriate reporting of results CKP

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

There are 9 weeks of 2-hour further statistics lectures and 8 weeks of 2-hour statistics workshops. In addition there are 2 weeks of 2-hour critical thinking tutorials.

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list

Upon accessing the reading list, please search for the module using the module code: PSYM148

Other information


Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.