QUANTITATIVE RESEARCH METHODS - 2022/3
Module code: PSYM065
In light of the Covid-19 pandemic the University has revised its courses to incorporate the ‘Hybrid Learning Experience’ in a departure from previous academic years and previously published information. The University has changed the delivery (and in some cases the content) of its programmes. Further information on the general principles of hybrid learning can be found at: Hybrid learning experience | University of Surrey.
We have updated key module information regarding the pattern of assessment and overall student workload to inform student module choices. We are currently working on bringing remaining published information up to date to reflect current practice during the academic year 2021/22.
This means that some information within the programme and module catalogue will be subject to change. Current students are invited to contact their Programme Leader or Academic Hive with any questions relating to the information available.
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.
WALKER Ian (Psychology)
Number of Credits: 15
ECTS Credits: 7.5
Framework: FHEQ Level 7
JACs code: C831
Module cap (Maximum number of students): N/A
Overall student workload
Independent Learning Hours: 95
Seminar Hours: 33
Guided Learning: 11
Captured Content: 11
Prerequisites / Co-requisites
An undergraduate degree.
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 type||Unit of assessment||Weighting|
|Online Scheduled Summative Class Test||ONLINE (OPEN BOOK) MCQ TEST WITHIN 4HR WINDOW||25|
|Examination Online||ONLINE (OPEN BOOK) DATA ANALYSIS EXAM WITHIN 24HR WINDOW||75|
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
- This module aims to provide students with an understanding of the philosophy underlying psychological research using quantitative methods
|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|
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.
Upon accessing the reading list, please search for the module using the module code: PSYM065
Programmes this module appears in
|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.