Module Details

Module Code: ZRCH H2101
Module Title: Research in Sport and Health
Title: Research in Sport and Health
Module Level:: 6
Credits:: 5
Module Coordinator: Paula Rankin
Module Author:: Rachael Carroll
Domains:  
Module Description: To develop further the students' understanding of research methods, statistical concepts and techniques used in health and sports science.
 
Learning Outcomes
On successful completion of this module the learner will be able to:
# Learning Outcome Description
LO1 Describe and discuss the research process, especially as it relates to the broad field of health and sports studies, and the advantages and disadvantages of various study designs. Critically evaluate the nature of quantitative and qualitative research and identify appropriate methods of analysis.
LO2 Identify different types of outcomes and be able to select the appropriate method of analysis for the type of outcome and study design. Explore a range and the implementation of a variety of data collection and data analysis tools.
LO3 Analyse and interpret a broad range of health, sports and scientific data. Perform and interpret statistical tests using software.
Dependencies
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.
No recommendations listed
Co-requisite Modules
No Co-requisite modules listed
Additional Requisite Information
No Co Requisites listed
 
Indicative Content
Introduction to research
What is research? Understanding a research question. Types of research: Qualitative and Quantitative, mixed method designs; Introduction to qualitative research and techniques. Defining research variables. Formulation of a hypothesis. Introduction to research design. Understanding different types of study designs and be able to choose the relevant design for a given question.
Data analysis and presentation of information
Review of descriptive statistics; Data reduction, organisation and presentation; ; inferential statistics; exploring a data set; statistical significance; correlations; understanding p-values.
The normal distribution
Probability distributions. Assessing Normality, parametric and nonparametric methods. Applications of the normal distribution.
Analysis of a single sample
Testing hypotheses about a mean based on a single sample, confidence interval for a mean based on the Central Limit Theorem.
Analysis of two samples
Testing two means both in the case of paired and unpaired data.
ANOVAs
Introduction to ANOVAs. The analysis of variance. Testing the equality of several means.
Practical
Review of inputting data and defining variable properties. Perform and interpret statistical tests using statistical software.
Module Content & Assessment
Assessment Breakdown%
Continuous Assessment15.00%
Practical45.00%
End of Module Formal Examination40.00%

Assessments

Full Time

Continuous Assessment
Assessment Type Examination % of Total Mark 15
Timing n/a Learning Outcomes 1,2,3
Non-marked No
Assessment Description
Statistics examination. Typically involves a maximum of two assessments which may be in the from of quizzes, assignments and written examinations.
No Project
Practical
Assessment Type Practical/Skills Evaluation % of Total Mark 45
Timing Sem 1 End Learning Outcomes 2,3
Non-marked No
Assessment Description
Practical assessment.
End of Module Formal Examination
Assessment Type Formal Exam % of Total Mark 40
Timing End-of-Semester Learning Outcomes 1,2,3
Non-marked No
Assessment Description
Written exam
Reassessment Requirement
Exam Board
It is at the discretion of the Examination Board as to what the qualifying criteria are.

SETU Carlow Campus reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Workload Category Contact Type Workload Description Frequency Average Weekly Learner Workload Hours
Lecture Contact Lecture 12 Weeks per Stage 2.00 24
Practicals Contact Practicals 12 Weeks per Stage 2.00 24
Estimated Learner Hours Non Contact No Description 15 Weeks per Stage 5.13 77
Total Weekly Contact Hours 4.00
 
Module Resources
Recommended Book Resources
  • Thomas A. Severini. (2020), Analytic Methods in Sports, Chapman & Hall/CRC, p.356, [ISBN: 0367469383].
  • James T. McClave,Terry T Sincich. (2017), Statistics, Global Edition, Pearson Higher Ed, p.896, [ISBN: 9781292161563].
  • Jamie Cleland,Daniel Kilvington. (2019), Online Research Methods in Sport Studies, [ISBN: 0367408163].
  • Ian Jones. (2015), Research Methods for Sports Studies, Routledge, p.364, [ISBN: 9780415749336].
  • Peter O'Donoghue. (2012), Statistics for Sport and Exercise Studies, Routledge, p.390, [ISBN: 0415595576].
  • John Newell. (2010), Statistics for Sports and Exercise Science, Pearson Education, p.440, [ISBN: 9780132042543].
  • Wayne W. Daniel. (2014), Biostatistics: A Foundation for Analysis in the Health Sciences, 10th. [ISBN: 1118751108].
  • James Skinner,Allan Edwards,Ben Corbett. (2014), Research Methods for Sport Management, Routledge, p.378, [ISBN: 9781135147969].
This module does not have any article/paper resources
This module does not have any other resources
Discussion Note: