Module code: PSYM065

Module Overview

This course is a lab-based/practical course intended to get students to use the freely available Jamovi software for data analysis and to understand what they are doing when they use it.

Module provider


Module Leader

WONG Alan (Psychology)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

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

Overall student workload

Independent Learning Hours: 95

Seminar Hours: 33

Guided Learning: 11

Captured Content: 11

Module Availability

Semester 2

Prerequisites / Co-requisites

An undergraduate degree.

Module content

Indicative content includes:

WEEK 1 - revision of core statistical concepts; introduction to Jamovi
WEEK 2 - revision of core statistical concepts; introduction to Jamovi
WEEK 3 - Factor analysis
WEEK 4 - Cluster analysis
WEEK 5 - Power analysis using G*Power
WEEK 6 - Regression Part 1
WEEK 7 - Regression Part 2
WEEK 8 - Introduction to mixed effects models Part 1
WEEK 9 - Introduction to mixed effects models Part 2
WEEK 10 - Nonlinear regression
WEEK 11 - Introduction to meta-analysis

Assessment pattern

Assessment type Unit of assessment Weighting
Online Scheduled Summative Class Test ONLINE (OPEN BOOK) MCQ TEST WITHIN 24HR WINDOW 25

Alternative Assessment


Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate:

i) Knowledge of common bi-variate and multivariate statistical procedures used in psychology

ii) the ability to use Jamovi to conduct statistical analysis

Thus, the summative assessment for this module consists of:

  • School-Timetabled Sum. Examination/Test: Unseen open-book MCQ Class Test

  • School-Timetabled Sum. Examination/Test: Unseen open-book Practical Data-analylsis Exam

Formative assessment and Feedback

i) In-class formative feedback via problem-solving in lessons

ii) feedback on their performance in the MCQ 

Module aims

  • This module aims to provide students with an understanding of the philosophy underlying psychological research using quantitative methods

Learning outcomes

Attributes Developed
001 Equipped with enough information to critically assess research using quantitative methods KCPT
002 Prepared to apply appropriate techniques to real data sets and be able to interpret output from these analyses in a sophisticated and reflective manner CPT
003 Familiar with the use of common analytic procedures instantiated in Jamovi KPT

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

Give students the opportunity to gains hands-on experience of using Jamovi to solve real research based statistical questions in psychology.

The learning and teaching methods include:

  • Combination of lectures and computer-based exercises.

  • Class-based problem sheets with in–class formative feedback on their learning

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: PSYM065

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Social Psychology MSc 2 Compulsory A weighted aggregate mark of 50% is required to pass the module
Environmental Psychology MSc 2 Compulsory A weighted aggregate mark of 50% is required to pass the module
Health Psychology MSc 2 Compulsory A weighted aggregate mark of 50% is required to pass the module

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.