Total Credits: 10
Level: Level 4
Target Students: MSc/PGDip Sports and Exercise Medicine; MSc Applied Sport and Exercise Medicine There is a limited number of places on this module. Students are reminded that enrolments which are not agreed by the Offering School in advance may be cancelled without notice.
|Spring||Assessed by end of Designated Period|
Summary of Content: This module is aimed at providing the skills needed to enable a student to be able to quantitatively analyse their research data. It will cover how to undertake statistical analyses relevant to their research projects. This will be taught using a combination of tutorials, e-learning, formative assessments and computer practicals.
Module Web Links:
Method and Frequency of Class:
|Activity||Number Of Weeks||Number of sessions||Duration of a session|
|Lecture||1 weeks||1 per week||0 hours 30 mins|
|Tutorial||5 weeks||1 per week||2 hours|
Method of Assessment:
|Inclass Exam 1 (Practical)||100||Practical SPSS assessment - computer practical session (2 hours)|
Dr R Pearson
Education Aims: The overall aim of this module is to enable students to have a good understanding of the fundamental principle behind basic and some more advanced statistics. This requires researchers to be able to formulate hypothesis to test the significance of differences in parametric and non-parametric data sets; this will initially focus on two variables using tests such as the t-test and Mann Whitney U test, then progress into analyses such as ANOVA and regression to enable multiple variables and confounders to be investigated. Data exploration and description will be covered which leads on to studying correlations. An example of the usefulness of specialised statistical methodology will be provided by survivorship analyses.
Learning Outcomes: Knowledge and understanding:
Offering School: Medicine
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