QUANTITATIVE RESEARCH METHODS - 2020/1
Module code: PSYM065
Module Overview
This course is a lab-based/practical course intended to get students to use SPSS and understand what they are doing when they use it.
Module provider
Psychology
Module Leader
FIFE-SCHAW Christopher (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: 117
Lecture Hours: 33
Module Availability
Semester 2
Prerequisites / Co-requisites
An undergraduate degree.
Module content
Indicative content includes:
Week 1 SPSS refresher: Bivariate tests
Week 2 SPSS refresher: Bivariate tests/choosing multivariate procedures
Week 3 Power calculation using G*POWER
Week 4 MCQ class test/Data screening
Week 5 Factor Analysis
Week 6 Reliability assessment
Week 7 Simple Regression
Week 8 Multiple Regression
Week 9 Logistic Regression
Week 10 Cluster Analysis
Week 11 Multidimensional Scaling
Assessment pattern
| Assessment type | Unit of assessment | Weighting |
|---|---|---|
| School-timetabled exam/test | 30 MINUTE UNSEEN MCQ CLASS TEST | 25 |
| Examination | 90 MINUTE UNSEEN PRACTICAL OPEN BOOK EXAM USING SPSS | 75 |
Alternative Assessment
N/A
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 SPSS to conduct statistical analysis
Thus, the summative assessment for this module consists of:
- School-Timetabled Sum. Examination/Test: 30 Minute Unseen MCQ Class Test
- School-Timetabled Sum. Examination/Test: 90 Minute Unseen Practical Exam Using SPSS
Formative assessment and Feedback
i) In-class formative feedback via problem sheets
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 | ||
| 1 | Equipped with enough information to critically assess research using quantitative methods | KCPT |
| 2 | 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 |
| 3 | Familiar with the use of common analytic procedures instantiated in SPSS | 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 SPSS 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
https://readinglists.surrey.ac.uk
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 |
|---|---|---|---|
| Health 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 |
| Research Methods in Psychology MSc | 2 | Compulsory | A weighted aggregate mark of 50% is required to pass the module |
| Social 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 2020/1 academic year.