Module JXH-2016:
Research Methods

Module Facts

Run by School of Sport, Health and Exercise Sciences

20 Credits or 10 ECTS Credits

Semester 1

Organiser: Dr Ross Roberts

Overall aims and purpose

This module forms an essential element underpinning all the other modules within the School. It provides students with an understanding of the nature of science and the application of the scientific method to the study of sport, exercise and health, and fundamental skills in data management, analysis and interpretation. The module is split into two separate but inter-related halves.

Part A Computational Statistics - The purpose of this module is for students to understand research processes in sport, health, and exercise sciences covering computational statistics 1 Computational Skills 2 Computer (SPSS) Skills 3 Subject specific interpretational skills

Part B Research Methods & Design - examines the fundamental assumptions underlying both quantitative and qualitative research approaches, sampling, validity, reliability and experimental designs.

Course content

The purpose of this module is for students to understand research processes in sport, health, and exercise sciences covering Computational Statistics and Research Methods.

In Part A students will cover ANOVA and regression based analyses

In Part B students will cover data management in SPSS, quantitative research methods, and qualitative research methods and analysis

Module failure that prevents you passing the year will require resit assessment and attendance at Supplementary Assessment Week (exact date TBC but expected to be in July 2019)

Assessment Criteria

threshold

Acceptable level of understanding presented

good

Reasonably comprehensive coverage. Well organised and structured. Good understanding of the material.

excellent

Comprehensive and accurate coverage of the area clarity of argument and expression. Depth of insight into theoretical issues.

Learning outcomes

  1. Appreciate how different philosophies about ways of knowing influence one’s approach to research design

  2. Understand sampling procedures

  3. Understand the principles underlying measurement in quantitative research

  4. Demonstrate an understanding of the principles underlying variance testing (e.g., ANOVA) and regression (simple and multiple regression)

  5. Organise data in an SPSS spreadsheet.

  6. Interpret the main features of SPSS computer printout from ANOVA and regression analyses.

  7. Carry out basic procedures in the analysis of qualitative data

  8. Understand the principles of experimental design

Assessment Methods

Type Name Description Weight
EXAM Part A Midterm Exam 25
EXAM Part B Midterm Exam 20
EXAM Part B SAQ Exam (JAN) 30
COURSEWORK Part A Coursework 25

Teaching and Learning Strategy

Hours
Practical classes and workshops

Part B 2 1 hour practical sessions

2
Lecture

Part B 11 2 hour lectures + 5 online 30 minute lectures

25
Private study

Part B private study to include reading, formative assessments, updating portfolio/ notes, exam preparation

74
Practical classes and workshops

Part A 4 1 hour practical sessions

4
Lecture

Part A 11 2 hour lectures

22
Private study

Part A - private study to include attendance at enhancement sessions, reading, updating portfolio/notes, exam preparation

74

Transferable skills

  • Literacy - Proficiency in reading and writing through a variety of media
  • Numeracy - Proficiency in using numbers at appropriate levels of accuracy
  • Computer Literacy - Proficiency in using a varied range of computer software
  • Self-Management - Able to work unsupervised in an efficient, punctual and structured manner. To examine the outcomes of tasks and events, and judge levels of quality and importance
  • Exploring - Able to investigate, research and consider alternatives
  • Information retrieval - Able to access different and multiple sources of information
  • Inter-personal - Able to question, actively listen, examine given answers and interact sensitevely with others
  • Critical analysis & Problem Solving - Able to deconstruct and analyse problems or complex situations. To find solutions to problems through analyses and exploration of all possibilities using appropriate methods, rescources and creativity.
  • Presentation - Able to clearly present information and explanations to an audience. Through the written or oral mode of communication accurately and concisely.
  • Teamwork - Able to constructively cooperate with others on a common task, and/or be part of a day-to-day working team

Subject specific skills

  • research and assess paradigms, theories, principles, concepts and factual information, and apply such skills in explaining and solving problems
  • critically assess and evaluate data and evidence in the context of research methodologies and data sources
  • describe, synthesise, interpret, analyse and evaluate information and data relevant to a professional or vocational context
  • demonstrate effective written and/or oral communication and presentation skills
  • work effectively independently and with others
  • demonstrate an understanding of the philosophical basis of scientific paradigms
  • demonstrate evidence of competence in the scientific methods of enquiry, and interpretation and analysis of relevant data and statistical outputs.
  • develop transferable skills of relevance to careers outside of sport, health and exercise sciences.
  • communicate succinctly at a level appropriate to different audiences.
  • demonstrate effective robust data collection methods

Resources

Pre- and Co-requisite Modules

Pre-requisites:

Courses including this module

Compulsory in courses: