Module Information

Module Identifier
Module Title
Academic Year
Semester 1
Other Staff

Course Delivery

Delivery Type Delivery length / details
Lecture 45 Hours.
Practical 12 Hours.


Assessment Type Assessment length / details Proportion
Semester Assessment Computing exercise  An exercise using appropriate computer packages, demonstrating competence in IT skills and data management.  20%
Semester Assessment 3,000 word essay  covering the collection and analysis of quantitative and qualitative data  80%

Learning Outcomes

On completion of this module, students will be able to:

  • Demonstrate competency in understanding and applying a range of research methods, to enable the collection of both quantitative and qualitative data
  • Display knowledge of the management of research data, and the use of IT in such data management
  • Demonstrate skills in conducting research in a manner which is consistent with professional practice
  • Demonstrate an awareness of the key skills involved in analysing quantitative and qualitative data

Brief description

This module is designed to be an integral component of the new RT masters courses which the University has introduced. Through this module Masters and PhD students will gain a broad knowledge of a range of methodological and analytical skills which they can apply in a variety of research contexts.


This module aims to give students a broad knowledge of a range of methodological and analytical skills, which they can apply in a variety of research contexts. The course is designed to give students a grounding in the basic principles of both qualitative and quantitative research methodology. It will provide students with an introduction to the major methods of qualitative data collection and analysis, how qualitative data are actively constructed and interpreted by the researcher, and an appreciation of the practical and epistemological concerns raised by qualitative data collection.This will include a consideration of questionnaire design, interviewing techniques, survey design and qualitative data analysis. This will be complimented by an analysis of the principles of quantitative research data and data analysis. The module will introduce students to the basic techniques of analysis, presentation and description of statistics, and in particular to SPSS using the PC Windows version.


The module covers the following topics:

  • Combining methods
  • Data sources and context
  • Internet data collection
  • Survey design and interviewing
  • Questionnaire design
  • The nature and use of qualitative data
  • Focus groups
  • Participant observation
  • Semi-structured interviewing
  • Archival and documentary analysis
  • Content and discourse analysis
  • Measures of central tendancy
  • Dispersion- SPSS
  • Hypothesis testing - SPSS
  • Relations between two variables - SPSS
  • Multivariate Data analysis - SPSS


This module is at CQFW Level 7