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

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.

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.

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).

The module is examined through two assessments. All elements of assessment must be passed on this module to proceed.

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 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).