SOC40130 Advanced Workshop on the Analysis of Qualitative Research and on Evaluation

Academic Year 2016/2017

In this course the inductive processes of analysis and classification are explored in order to clarify the steps to be taken in examining qualitative material. Examples of the process are given and students gain practice in applying the steps to data. Once students are at ease with this process the use of the software package NVivo will be introduced. Students will practise the preparation, importing and analysis of data using this programme. We will work with secondary data archived with ISQDA and ESDS Qualidata. Students will select a dataset to work with, will carry out an analysis and produce output in report form. The course will give students hands-on, practical skills in qualitative data analysis. This is an advanced module and it is strongly recommended that students taking this module have previous experience or knowledge of qualitative research methods.

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Curricular information is subject to change

Learning Outcomes:

This course develops students' ability to analyse qualitative data in a systematic and well-documented manner (Blank 2004). Students will become familiar with the use of computer applications to facilitate this. On completion of the module they should be able to set up, code, analyse and write up a qualitative research project using a software programme for qualitative data analysis. They will also be familiar with the many advantages of working with archived qualitative data.

Student Effort Hours: 
Student Effort Type Hours
Small Group

14
Computer Aided Lab

10
Autonomous Student Learning

166
Online Learning

60
Total

250
 
Requirements, Exclusions and Recommendations

Not applicable to this module.



 
Description % of Final Grade Timing
Assignment: End of Semester Report

50

 Coursework (End of Trimester)
Essay: Essay

25

 Week 5
Assignment: Weekly NVivo tasks

15

 Throughout the Trimester
Presentation: Presentation

10

 Week 10

Compensation

This module is not passable by compensation

Resit Opportunities

In-semester assessment

Remediation

If you fail this module you may repeat, resit or substitute where permissible.

Name Role
Mr Oskar Milik Lecturer / Co-Lecturer