1. ¿Demonstrate a critical appreciation of the nature of research and issues involved in analysing data appropriately (e.g. statistical power, effect size, sources of variation, validity and reliability)
Knowledge & Understanding
Learning

2. Choose, conduct, interpret (using SPSS) report on appropriate parametric and non-parametric statistical tests for selected data sets in sport & exercise science
Analysis
Application
Enquiry
Knowledge & Understanding
Problem Solving

3. Demonstrate via completion of course related tasks a working understanding of t-tests, ANOVA, MANOVA, regression, mediation, and chi square analyses.
Analysis
Enquiry
Knowledge & Understanding

4. Choose, conduct, interpret and report the appropriate methods of qualitative and interpretative analysis for selected data sets in sport & exercise science
Analysis
Application
Enquiry
Knowledge & Understanding
Problem Solving
Reflection

5. Evaluate the strengths and weaknesses of different approaches to qualitative research design (e.g. grounded theory, coding, interview, focus groups, IPA)
Analysis
Enquiry
Knowledge & Understanding
Problem Solving

The module is examined through two assessments:

Assessment 1: A quantitative data analysis report equivalent to 2,500 words weighted at 50% to assess learning outcomes 1 2.and 3

Assessment 2: A qualitative data analysis report equivalent to 2,500 words weighted at 50% to assess learning outcomes 1 and 4 and 5



Additional Assessment Details (include formative feedback / assessment):

Understanding of key concepts is self-assessed via questions posted on Blackboard, and comparisons to worked examples. Students should engage in on-line discussions and be prepared to support discussions with evidence-based examples. Tutor feedback is provided through several channels (such as Blackboard discussion board, email, Skype, phone). Blackboard discussion board is favoured to allow student and tutor discussions to benefit the wider student cohort.



Formative feedback will be provided throughout the module using asynchronous and synchronous communication tools.



Asynchronous communication tools:

- Blackboard Discussion board

- Email correspondence

- Blackboard Announcements



Synchronous communication tools:

- Group and individual Skype/phone tutorials

- Face-to-face meetings (when and where possible). The equivalent offered via Skype/phone.

This module will enable students to develop and enhance contemporary research and data analysis skills in sport and exercise science. The content of the module includes: a critical appreciation of both qualitative and quantitative research, evaluating sources of data, research and experimental designs, evaluation and interpretation techniques, statistical data analysis, and presentation of research findings. A variety of epistemological approaches to qualitative research will be critically appraised (e.g., content analysis, grounded theory, interpretative phenomenological analysis) and applied. The theoretical rationale for, and execution of, a number of inferential statistical techniques will also be covered (e.g., t-tests, correlations, chi-square, Analysis of Variance and Covariance, Regression, and Mediation).

This module will enable you to develop and enhance contemporary research and data analysis skills in sport and exercise science. The content of the module includes: a critical appreciation of both qualitative and quantitative research, evaluating sources of data, research and experimental designs, evaluation and interpretation techniques, statistical data analysis, and presentation of research findings. A variety of epistemological approaches to qualitative research will be critically appraised (e.g., content analysis, grounded theory, interpretative phenomenological analysis) and applied. The theoretical rationale for, and execution of, a number of inferential statistical techniques will also be covered (e.g., t-tests, correlations, chi-square, Analysis of Variance and Covariance, Regression, and Mediation).

Students follow a 12-week distance learning guided study programme and access support material via Blackboard.



Scheduled learning and teaching hours will equate to 4 hours on the module.



Core required tasks will amount to an average of 8 hours of engagement per week, representing a total of 96 activity engagement hours for the module. Guided independent study hours (including preparation for assessments) will equate to 200 hours.



Students are directed to recommended resources (e.g., reading, video tutorials) to support completion of activities. Students are required to access additional support material independently.



Students will receive formative feedback throughout the module comprising task-related feedback on a week-by-week basis, together with online discussions forums to encourage peer-learning in addition to comments from relevant tutors.

Core texts

Field, A. (2013). Discovering statistics using IBM SPSS statistics. London, UK: Sage.

Willig, C. (2013). Introducing qualitative research in psychology. Maidenhead, UK: Open University Press:



Recommended text

Clark-Carter, D. (2009). Quantitative Psychological Research: The Complete Student's Companion. Hove: Psychology Press.

Sparkes, A. C., & Smith, B. (2014). Qualitative research methods in sport, exercise and health: From process to product. Oxon: Routledge.

Access to the following resources will be required to effectively deliver the module:

- Internet access

- Internet browsers able to support:

- Blackboard

- Voicethread

- Screenr

- Blackberry Flashback

- IBM SPSS

- Microsoft Office

- Skype

- Phone

- Adobe

- Java

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