PERS40030 Research Methods and Applied Statistics

Academic Year 2023/2024

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.

Show/hide contentOpenClose All

Curricular information is subject to change

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
Lectures

36
Specified Learning Activities

64
Autonomous Student Learning

100
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 Open Book Exam Component Scale Must Pass Component % of Final Grade
Class Test: Data processing/analysis and presentation of results Week 12 n/a Graded No

35
Portfolio: Portfolio of work in preparation for dissertation Coursework (End of Trimester) n/a Graded No

65

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
Lecture Offering 1 Week(s) - 33 Fri 14:00 - 16:50
Spring