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Description

Research Methods and Analytical Procedures

Module titleResearch Methods and Analytical Procedures
Module codeSHSM030
Academic year2023/4
Credits15
Module staff

Dr Brad Metcalf (Convenor)

Dr Kirsty Brock (Lecturer)

Duration: Term123
Duration: Weeks

11

0

0

Number students taking module (anticipated)

5

Description - summary of the module content

Module description

Studying at Master’s level provides opportunities to take part in and design exciting and innovative research. This module aims to provide you with the skills you need in order to make your research the best it can be. You will gain a better understanding of research methods, design and ethics, and learn how to use advanced-level statistics in research, including techniques that most of you will use to analyse your dissertation data.

Module aims - intentions of the module

This module will provide you with the tools to prepare for a Master’s level dissertation using quantitative research methods. The module will involve the development of an understanding of the use of advanced-level statistical analysis commonly used in sport & health science research, and that you will most likely need to use for you dissertation research project. It will also create an appreciation of what is involved in setting up a research study in terms design and ethics.

Intended Learning Outcomes (ILOs)

ILO: Module-specific skills

On successfully completing the module you will be able to...

  • 1. Analyse and evaluate experimental and non-experimental quantitative research design methods
  • 2. Select and employ analyses using SPSS and evaluate and explain the SPSS outputs

ILO: Discipline-specific skills

On successfully completing the module you will be able to...

  • 3. Describe the advanced statistics used in research in exercise and sports science
  • 4. Critically appraise and evaluate different aspects of a research proposal and an ethics application

ILO: Personal and key skills

On successfully completing the module you will be able to...

  • 5. Develop effective use of computer programs and online resources to solve problems and enhance research
  • 6. Competently input, analyse and interpret various forms of quantitative data
  • 7. Summarise the ethical implications of research

Syllabus plan

Syllabus plan

UNDERSTANDING RESEARCH DESIGN, ETHICS & EVIDENCE

  • Understanding the nature and strength of evidence
  • Understanding systematic reviews
  • Understanding a research proposal
  • Understanding ethical issues and applications in research

PERFORMING & UNDERSTANDING STATISTICAL/DATA ANALYSIS:

  • Introduction to SPSS software and using online resources
  • Dependent and independent t-tests, single-factor ANOVA
  • Factorial ANOVA I (independent samples and fully-repeated measures ANOVA)
  • Factorial ANOVA II (mixed design ANOVA)
  • Meta-analysis (performing a quantitative analysis for a systematic review)
  • Calculating sample sizes that can provide sufficient statistical power.
  • Correlations and simple linear regression
  • Multiple linear regression (forced entry, stepwise, hierarchical)
  • Logistic regression using questionnaire data
  • Assessing agreement between two measurement methods (Bland-Altman plot)
  • Exam revision and formative assessment

Learning and teaching

Learning activities and teaching methods (given in hours of study time)

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad
331170

Details of learning activities and teaching methods

CategoryHours of study timeDescription
Scheduled Learning and Teaching33Lecture and seminar classes
Guided independent study55Completing readings and tasks on ELE
Guided independent study62Preparation for exams

Assessment

Formative assessment

Form of assessmentSize of the assessment (eg length / duration)ILOs assessedFeedback method
ELE independent study tasksVarious1-2, 4-6Self-assessment / generic

Summative assessment (% of credit)

CourseworkWritten examsPractical exams
01000

Details of summative assessment

Form of assessment% of creditSize of the assessment (eg length / duration)ILOs assessedFeedback method
Examination1002.0 hours 1-3, 6, 7Written

Re-assessment

Details of re-assessment (where required by referral or deferral)

Original form of assessmentForm of re-assessmentILOs re-assessedTimescale for re-assessment
ExaminationExamination1-3, 6, 7August/September assessment period

Re-assessment notes

Deferral – if you miss an assessment for certificated reasons judged acceptable by the Mitigation Committee, you will normally be either deferred in the assessment or an extension may be granted. The mark given for a re-assessment taken as a result of deferral will not be capped and will be treated as it would be if it were your first attempt at the assessment.

Referral Рif you have failed the module overall (i.e. a final overall module mark of less than 50%) you will be required to retake a further examination. If you are successful on referral, your overall module mark will be capped at 50%.

Resources

Indicative learning resources - Basic reading

RESEARCH DESIGN, ETHICS & EVIDENCE:

....both these are provided on the module ELE page

STATISTICAL/DATA ANALYSIS:

  • • Field, A. (2013 or 2017). Discovering statistics using SPSS. 4th or 5th edition. Sage: London (See also: Andy Field’s complementary website: https://www.discoveringstatistics.com
  • • Salkind, N (2016 or 2019) Statistics for People Who (think they) Hate Statistics 6th or 7th edition.

....both of these are available as ebooks from the university library

Indicative learning resources - Web based and electronic resources

ELE (https://vle.exeter.ac.uk/course/view.php?id=9406) 

Module has an active ELE page

Key words search

Research methods, quantitative, study design, SPSS, statistics, data analysis, hypothesis testing, assumptions, dissertation preparation, ethics

Credit value15
Module ECTS

7.5

Module pre-requisites

None

Module co-requisites

None

NQF level (module)

7

Available as distance learning?

No

Origin date

15/02/2021

Last revision date

25/04/2023