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Making Sense of Quantitative and Qualitative Data

This is a Master’s Level module to develop advanced and specialist knowledge in the fields of both quantitative and qualitative methods. Students will have the opportunity to develop their skills in data analysis, including both statistical and qualitative data. The module develops knowledge of:

  • Construction of research instruments generating quantifiable data
  • Use of statistical packages such as SPSS
  • Choice and application of statistical tests
  • Qualitative methods
  • Narrative, phenomenological and discourse analysis
  • Use of a qualitative data analysis package (e.g. NVivo)

The module is a co-requisite for full-time students wishing to enrol for Hest 5017 and a pre-requisite for part-time students wishing to enrol for Hest 5017. The module runs in both semester one and semester two.

  • Ability to study at Masters level (minimum of 2.2 first degree OR evidence of degree level study) and evidence of recent study.

The module forms part of the Master’s in Research (Applied Health Studies).

Further course information is available from the programme leader:
Dr Sally Ruane
T: +44 (0)116 2078732
E: sruane@dmu.ac.uk

Key information

Module Category: HEST
Module Code: 5016
Module Credits: 30
Module Level: 7

Module leader

Dr Cathy Herbrand
E: 
cathy.herbrand@dmu.ac.uk

Semesters

Semester 1 and 2:
e-based module with one or two workshops, autumn term

 

 
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