module specification

ST7002 - Sports Research Methods (2022/23)

Module specification Module approved to run in 2022/23
Module status DELETED (This module is no longer running)
Module title Sports Research Methods
Module level Masters (07)
Credit rating for module 15
School School of Human Sciences
Total study hours 150
 
50 hours Scheduled learning & teaching activities
85 hours Guided independent study
15 hours Assessment Preparation / Delivery
Assessment components
Type Weighting Qualifying mark Description
In-Course Test 35%   In class test open book computer based statistical test (60 mins)
Coursework 65%   Project Proposal (2500 words)
Running in 2022/23

(Please note that module timeslots are subject to change)
No instances running in the year

Module summary

The module is designed to provide students with an understanding of the skills needed for planning, organisation and practice of research in health sciences.

By the end of this module, students will be able to:
- utilise available resources effectively – ability to work autonomously, find and use learning resources, manage time effectively, use computer based skills (word processing, mathematical, statistical, referencing, presentation);
- apply advanced statistical hypothesis testing tools;
- manage the project process – from proposal to publication;
- work collaboratively with others – building inter-disciplinary relationships;
- be a morally responsible researcher – an appreciation of the wider academic community and the ability to take an ethically sound stance when considering the potential impact of research on others; and
- communicate effectively – being able to communicate knowledge both orally and in a visual format, to demonstrate interactive and group skills; to write in a scientific manner and designated format; to demonstrate written and statistical literacies appropriate to sub-discipline.

Syllabus

Lectures will cover a range of statistical methods, and examination of already published data to examine validity/reliability. LO 1, LO 3

Lectures will cover a range of topics from proposal writing, the project process, managing the project and your supervisor, ethical processes, and dissemination of project output. LO 1, LO 2, LO 3, LO 4

Practical sessions will cover a range of computer software skills including advanced word processing layout and formatting skills for large projects, referencing software, poster design, project funding, journal publishing, and statistical techniques in statistical software. LO 1, LO 3

Balance of independent study and scheduled teaching activity

Students will undertake a range of lectures discussing research methods and data analysis.

Practical sessions will make use of a number of statistical packages in preparation for their project data analysis.

In addition to the practical sessions, students will be given a number of additional tasks they are expected to work through with guidance.  Additional questions will be given for students to investigate issues/concerns with the statistical tests being examined.

Learning outcomes

On successful completion of this module a student should be able to:

1. Formulate a novel research proposal at the forefront of their academic discipline.
2. Comprehensively understand ethical processes and procedures when undertaking research involving human subjects.
3. Identify and employ an extensive range of statistical skills and techniques, showing a comprehensive understanding of their use, applicability and faults.
4. Demonstrate critical scientific writing skills.

Assessment strategy

In Class, Open Book Statistical Test - Students will be given a variety of scenarios and data sets from which number of questions will be presented ranging from deciding which statistical test to run, to executing a test, to reporting the output from a test.

Project Proposal - outlining the background literature, rationale, research aims, questions and hypothesis, project design, methodology, proposed statistical analysis and considerations relating to research governance including ethics.

Bibliography

Core texts:
• Beins, B.C. and McCarthy, M.A. (2017) Research methods and statistics. Cambridge: Cambridge University Press.
• Field, A. (2018) Discovering statistics using IBM SPSS statistics, 5th edn, London: Sage.
• Thomas, J.R., Nelson, J.K., and Silverman, S.J. (2015) Research Methods in Physical Activity, 7th edn. Leeds: Human Kinetics.

Other texts:
• Holmes, D, Moody, P and Dine, D (2011) Research methods for the biosciences. 2nd edn. Oxford: Oxford University Press.
• Locke, L.F., Silverman, S.J. and Spirduso, W.W. (2009) Reading and understanding research. 3rd edn. London: Sage Publications.
• Locke, L.F., Spirduso, W.W. and Silverman, S.J. (2014) Proposals that work. 6th edn. London: Sage.
• Moore, D. Notz, W, and Fligner, A (2015) The basic practice of statistics. 7th edn. New York: W H Freeman.

Journals
• Journal of Mixed Methods Research
• Methods
• Research Synthesis Methods

(Other journals as appropriate to individual research area)

WebSites
• US National Library of Medicine / National Institute of Health (PubMed)
• SPORT Discus
• Medline
• EBSCO