Quantitative & Qualitative Data Analysis - EDU00064M

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  • Department: Education
  • Module co-ordinator: Dr. Cylcia Bolibaugh
  • Credit value: 20 credits
  • Credit level: M
  • Academic year of delivery: 2019-20

Module will run

Occurrence Teaching cycle
A Spring Term 2019-20

Module aims

To develop students understanding of and ability to perform data analysis, building upon the basic understanding of data collection and analysis provided in introductory modules in the Autumn term

Module learning outcomes

Subject content
Students who successfully complete the module should be able to:

  • Understand the debate surrounding quantitative, qualitative and mixed methods approaches to data collection and analysis, including ethical and political concerns
  • Exhibit knowledge and understanding of a range of methods for analysing quantitative and qualitative data in education and related social sciences
  • Understand the ethical issues involved with data management
  • Critically consume research results reports
  • Understand issues relating to criteria for assessing the validity of data, the interpretation of claims about the results of research, and the

Academic and graduate skills

  • Understanding and evaluating data analysis in education and related social sciences
  • Selecting appropriate data analysis methods
  • Analysing data sets (e.g., coding; statistical tests)
  • Using quantitative and qualitative data analysis software
  • Writing up results of different types of data analysis


Task Length % of module mark
N/A 100

Special assessment rules



Task Length % of module mark
Reassessment: Essay
N/A 100

Module feedback

You will receive feedback in a range of ways throughout this module. This will include oral feedback in class, responses to posts on the VLE discussion board and written comments on work. You will have the chance to obtain feedback on your writing during the module, and you will have a short one-to-one meeting with a module tutor to discuss assessments.

You will be provided physical written feedback on assignment report sheets as well as them being readily available on the VLE. Feedback in the department will take 4 to 6 weeks.

Indicative reading

Field, A. (2009) Discovering statistics using SPSS. London: Sage.

Bazeley, P., & Jackson, K. (2013). Qualitative data analysis with NVivo (2nd ed.). London: Sage.

Greene, J. & D'Oiveira, M. (1999). Learning to use statistical tests in psychology. Buckingham: Open University Press.

Miles, M. B., & Huberman, M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). London: Sage.

The information on this page is indicative of the module that is currently on offer. The University is constantly exploring ways to enhance and improve its degree programmes and therefore reserves the right to make variations to the content and method of delivery of modules, and to discontinue modules, if such action is reasonably considered to be necessary by the University. Where appropriate, the University will notify and consult with affected students in advance about any changes that are required in line with the University's policy on the Approval of Modifications to Existing Taught Programmes of Study.