Analysing Qualitative Data (P02183)

? Credit Points : 20 ? SCQF Level : 11 ? Acronym : SPS-P-SPS-P-cqd

This web-based course will be a new core course in Qualitative Data Analysis techniques.
The course is designed to complement the existing core research skills courses, to provide a foundation for students wishing to pursue intermediate and advanced qualitative skills training and to provide students with a comparable introductory course in the management and analysis of qualitative data or the use of qualitative data analysis software.

With its conceptual and practical focus the course will provide a foundation for students wishing to use computer software in their postgraduate work and will provide a resource for researchers and staff across the school interested in the use of software for qualitative data analysis.

? Keywords : Qualitative Data Analysis
CAQDAS software

Entry Requirements

? Pre-requisites : Data Collection course or equivalent prior qualifications and/or experience

Subject Areas

Home subject area

Postgraduate (School of Social and Political Science), (School of Social and Political Science, Schedule J)

Delivery Information

? Normal year taken : Postgraduate

? Delivery Period : Semester 2 (Blocks 3-4)

? Contact Teaching Time : 2 hour(s) per week for 10 weeks

Summary of Intended Learning Outcomes

By the end of the course students will:

Have an understanding of different types of qualitative data and data
sources
Have an understanding of the theoretical, methodological and software
issues relating to good qualitative research practice.
Have an understanding of managing, coding and retrieving qualitative
data
Have an understanding of how to develop a qualitative analysis
Have an understanding of CAQDAS packages and their use.
Have experienced using CAQDAS software for the analysis of qualitative
data

Assessment Information

Self-tests and practical exercises which students will work through during the course will build towards the final assessment in the form of a written research report. Students will be required to complete an analysis of a nominated set of data and critically reflect on their data management and analysis and on their use of CAQDAS software.