Quantitative Research Methods - WKBL8570

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Module delivery information

This module is not currently running in 2024 to 2025.

Overview

In this module, you focus on the theory and practice of quantitative research. You explore the various aspects of quantitative data collection techniques and methods of statistics analysis appropriate to an area of work-related enquiry related to your own professional practice. Topics include: quantitative data collection methods; survey design; statistical analysis techniques and tools; and interpretation of statistical data.

Details

Contact hours

Total contact hours: 23
Private study hours: 127
Total study hours: 150

Availability

This module is available during Autumn and Spring terms

Cost

This module is part of the Master's level programmes

Method of assessment

Written Assignment, 4000 words, 100%

Indicative reading

Balnaves, M. and Caputi, P. (2001) Introduction to Quantitative Research Methods: An Investigative Approach. London: Sage.
Blaikie, N. (2003) Analysing Quantitative Data. London: Sage.
Costley, C., Elliot, G. and Gibbs, P. (2010) Doing Work Based Research: Approaches to Enquiry for Insider-Researchers. London: Sage.
Field, A. (2014) Discovering Statistics using IBM SPSS Statistics. London: Sage.
Robson, C. and McCartan, K. (2016) Real World Research. 4th edn. West Sussex: Wiley.

Reading materials specific/relevant to the student's individual working practices will be recommended and discussed during the taught session.

See the library reading list for this module (Medway)

Learning outcomes

On successfully completing the module students will be able to:

1. Demonstrate capacity for autonomous learning through evaluation and enquiry, through making a genuine contribution to professional knowledge, in relation to their subject area.
2. Communicate with clarity in the written academic format, with evidence of critical reflection and the ability to enhance professional competence on the basis of demonstrated application of research findings.
3. Show a capacity for autonomous learning and the ability to access academic and professional resources as appropriate.
4. Show ability to effectively manage and present complex information effectively and to present this using a comprehensive range of learning resources and in order to demonstrate competence in the advanced appraisal of quantitative research.
5. Demonstrate the ability to express opinions and engage in critical thinking in written format.

Progression

MA/MSc Professional Practice; MSc in Advanced and Specialist Healthcare

Notes

  1. ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
  2. The named convenor is the convenor for the current academic session.
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