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Module JXH-2016:
Research Methods

Research Methods 2022-23
JXH-2016
2022-23
School Of Human And Behavioural Sciences
Module - Semester 1
20 credits
Module Organiser: Tommie Du Preez
Overview

Delivered by active researchers and practitioners within the sport and exercise domain, this module is split into two components:

Part A Approaches to conducting successful research and designing scientific studies

Part B How to analyse and understand data: Computational statistics

Assessment Strategy

-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

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

  • Carry out basic procedures in the analysis of qualitative data

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

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

  • Understand the principles of experimental design

  • Understand the principles underlying measurement in quantitative research

Assessment method

Exam (Centrally Scheduled)

Assessment type

Crynodol

Description

Part A Midterm Exam: Online Exam Research Design

Weighting

20%

Due date

11/11/2022

Assessment method

Exam (Centrally Scheduled)

Assessment type

Crynodol

Description

Part B Statistics Midterm Exam / 120 Minutes / 30 MCQ Questions.

Weighting

25%

Due date

18/11/2022

Assessment method

Coursework

Assessment type

Crynodol

Description

Part B Statistics Coursework: Assessment involving interpretation and analysis of data.

Weighting

25%

Due date

09/01/2023

Assessment method

Exam (Centrally Scheduled)

Assessment type

Crynodol

Description

Part A Research Design Exam / Online Exam / 90 Minutes / Short-Answer Questions

Weighting

30%

Due date

13/01/2023

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