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PERS40030

Academic Year 2024/2025

Research Methods and Applied Statistics (PERS40030)

Subject:
Performance Science
College:
Health & Agricultural Sciences
School:
Public Hlth, Phys & Sports Sci
Level:
4 (Masters)
Credits:
10
Module Coordinator:
Professor Catherine Blake
Trimester:
Spring
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

The aim of this module is to further students’ knowledge of research methods and statistical analysis appropriate for an in depth understanding of scientific literature and to undertake an independent research project for their dissertation. This module provides grounding for the Dissertation module (PERS40080) which will be developed during the summer term. In lectures and workshops students will have the opportunity to develop skills in designing, conducting and appraising quantitative and qualitative research in sport and exercise science. Emphasis will be placed on ethical challenges and issues when conducting research. Data analysis, presentation and interpretation of results will be carried out mainly using advanced features of Excel and Jamovi software. The association between choice of research design and appropriate statistical analysis will be highlighted. Literature search strategy, ethics application and use of Excel/Jamovi software will be covered in specifically designed workshops.

About this Module

Learning Outcomes:

On completion of this module students should be able to:

1) Demonstrate advanced skills in quantitative and qualitative research design and statistical analysis
2) Apply appropriate ethical considerations when conducting research, including writing a good ethics application for their dissertation
3) Critically appraise available literature and undertake a systematic literature review relating to their dissertation using the PRISMA statement
4) Demonstrate bibliographic skills and utilisation of web resources
5) Use advanced features of Excel and Jamovi software for data analysis and presentation of results


Indicative Module Content:

- Ethics application
- Library resources
- Qualitative research design
- Quantitative research design
- Qualitative data analysis
- Quantitative data analysis
- Literature review
- Validity and reliability in measurement of human performance

Student Effort Hours:
Student Effort Type Hours
Specified Learning Activities

64
Autonomous Student Learning

100
Lectures

36
Total

200

Approaches to Teaching and Learning:
Lectures / computer sessions

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Exam (Open Book): Quantitative and Qualitative data processing/analysis and presentation of results Week 12 Standard conversion grade scale 40% Yes
35
 Yes
Portfolio: Portfolio of work in preparation for dissertation Week 14 Standard conversion grade scale 40% Yes
65
 Yes

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Summer No
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment
• Group/class feedback, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Name Role
Professor Catherine Blake Lecturer / Co-Lecturer
Professor Eamonn Delahunt Lecturer / Co-Lecturer
Miss Rosie Jewitt-Beck Lecturer / Co-Lecturer
Dr Seamus Kelly Lecturer / Co-Lecturer
Dr Mark Roe Lecturer / Co-Lecturer

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Spring Lecture Offering 1 Week(s) - 20, 21, 22, 23, 24, 25, 26, 29, 31, 32 Fri 14:00 - 16:50
Spring Lecture Offering 1 Week(s) - 33 Fri 14:00 - 16:50
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