This module is not currently running in 2024 to 2025.
This module introduces students to the analysis techniques required for their dissertation module. The analysis techniques to be covered are as follows:
Independent and paired t-tests
Overview of Regression and Correlation
Qualitative analysis techniques
One way ANOVA
Factorial ANOVA
Repeated measures ANOVA
Non-parametric tests
Total contact hours: 21
Private study hours: 129
Total study hours: 150
Data Analysis and Reporting Exercise – 100%
Creswell, J. (2013). Research design: qualitative, quantitative, and mixed methods approaches. 4th Ed. London: Sage.
Dancey, C. P., Reidy, J. & Rowe, R. (2012) Statistics for the Health Sciences: A Non-Mathematical Introduction. London: Sage.
Field, A. (2013). Discovering statistics using IBM SPSS Statistics. 4th Ed. London: Sage.
Vincent, W. J. & Weir, J. (2012) Statistics in Kinesiology. 4th Ed. Leeds: Human Kinetics.
See the library reading list for this module (Canterbury)
See the library reading list for this module (Medway)
The intended subject specific learning outcomes. On successfully completing the module students will be able to:
Analyse the strengths and weaknesses associated with selected research methods;
Identify and interpret descriptive, graphical and inferential statistics that inform answers to specific research questions concerned with both simple and complex research designs;
Conduct a variety of statistical analyses using the computer software SPSS and communicate an interpretation of the output in a written research report format
The intended generic learning outcomes. On successfully completing the module students will be able to:
Demonstrate skills in numeracy and information technology;
Demonstrate skills in problem solving;
Demonstrate the ability to plan and manage learning.
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