SHE Level 1
SCQF Credit Points 20.00
ECTS Credit Points 10.00
Module Code M1C825409
Module Leader Barbara Duncan
School School of Health and Life Sciences
Subject Psychology
  • B (January start)

Pre-Requisite Knowledge

Research Methods 1A : Philosophy and Methods

Summary of Content

This module provides students with the opportunity to develop foundational data management skills that are key to carrying out research in psychology. These skills include gathering and describing data, using appropriate software to analyse data and interpret output, an introduction to quantitative statistics (e.g. organising and reporting data, levels of data, data collection methods, reporting data analysis) and an introduction to qualitative methods (e.g. visual methods). Teaching is via lectures and practicals, with online materials to supplement student learning. Students will also develop personal communication and presentation skills and to acquire the skills necessary to work effectively in a group (e.g., team roles and responsibilities, effective decision making in groups, working with others).


The aim of this module is to provide students with basic skills in data management that will provide a foundation for research methods modules in levels 2 and 3. There are three main strands to the teaching 1) introduction to qualitative and quantitative data collection 2) introduction to quantitative descriptive statistics 3) practical application of knowledge e.g. collecting and organising qualitative data, entering quantitative data, interpreting data output, reporting data analysis. There is an emphasis on learning to apply the topics in the lectures to the acquisition of practical skills in relation to data management.

Learning Outcomes

On completion of this module, the student should be able to:1. Collect qualitative data (assessed by group presentation)2. Understand how to input data (assessed by individual report)3. Understand basic descriptive statistics assessed by (individual report)4. Apply basic statistical knowledge to the interpretation of quantitative data (assessed by individual report)5. Organise and present qualitative data (assessed by group presentation)6. Analyse and present quantitative data (assessed by individual report)

Teaching / Learning Strategy

Teaching will be delivered via face to face lectures (2 x 1 hour per week), a mixture of 6 practicals (1 x 2 hours per week) per academic session, 6 weekly seminars (1 x 2 hours per week) per academic session and a tutorial (4 x 1 hour) per session. Independent learning will be facilitated by asking students to prepare for lectures and practicals and working in small groups to produce presentations, which will be delivered to the class. Formative assessment will provide experience in interpreting and reporting quantitative data at a descriptive level .

Indicative Reading

Brace, N., Kemp., R. Snelgar, R. (2012) SPSS for psychologists 5 th edition Basingstoke: Palgrave MacMillan Braun, V. & Clarke, V. (2013) Successful qualitative research; a practical guide for beginners . London:Sage Hanna, D. & Dempster, M. (2012) Psychology statistics for dummies West Sussex: Wiley

Transferrable Skills

Employability skills -360 1. Group oral presentation: Able to plan and conduct a presentation that involves negotiating and planning with others, accessing information and undertaking defined roles to complete the task. -360 2. Public speaking: Able to plan, develop and deliver a presentation to an audience of staff and students. -360 3. Digital capability skills: Ability to effectively utilise data management computer package

Module Structure

Activity Total Hours
Lectures (FT) 24.00
Tutorials (FT) 4.00
Assessment (FT) 40.00
Seminars (FT) 12.00
Independent Learning (FT) 108.00
Practicals (FT) 12.00

Assessment Methods

Component Duration Weighting Threshold Description
Coursework 2 n/a 70.00 35% Individual report on data analysis (1500 words)
Coursework 1 n/a 30.00 35% Group presentation of qualitative data collection exercise