SR1S03 - MEASUREMENT AND EVALUATION OF HUMAN PERFORMANCE. 01 Sep 2024 - 31 Aug 2030 | Version 7

Associated Module Information

Module Code: SR1S03
Module Title: MEASUREMENT AND EVALUATION OF HUMAN PERFORMANCE.
Faculty: Faculty of Life Sciences and Education
Faculty Group: Sport
Faculty Sub Group: Sports Coaching
Module Leader: Adnan Haq
Module Team: Trevor Harris
First Intended Intake: SEP 2024 Final Year of Intake: 2029
Date Closed:
Credit Value: 20 Credit Level: 4
Language: English
Percentage of Module Taught in Welsh: 0
Equivalent Module:
HECOS codes: 100406 - statistics 100433 - sport and exercise sciences
HECOS Code Weighting: 50 50

Document Version Information

Version 7
Valid From 01 Sep 2024
Valid To 31 Aug 2030

Module Aims

To introduce the student to the areas of data retrieval; measurement; analysis and interpretation; health and fitness assessment.

Content Summary

Knowledge and accumulation of knowledge, the scientific method of enquiry. 

Introduction to research in sport and exercise science; searching, retrieving and using the literature (PubMed, Google Scholar, etc.); how to write a scientific paper or report; illustrating scientific data. 

Norm-referenced and criterion-referenced standards. 

Basic statistical concepts; introduction to the concept of central tendency and dispersion, units of measurements, correlation, hypothesis and significance testing, measurement validity, reliability, and error. 

Measurement of aerobic performance and fitness - field and laboratory testing. 

Measurement of Anaerobic performance, strength, and muscular endurance. 

Body composition, health and performance; introduction to body composition techniques: underwater weighing, bio-electrical impedance analysis, and anthropometry. 

Physique and athletic performance; somatotyping. 

Other issues in fitness assessment: guidelines for conducting exercise tests; health and safety considerations; risk assessment. 

Students should be aware they may encounter ethical issues in learning and teaching while undertaking this module and should refer to either the Module Leader or module handbook(s) for further information.

Learning and Teaching Methods

Activity Type Hours
Lecture 24
Practical classes and workshops 24
Directed Study 152
Total Hours Selected 200

Learning Outcomes

# Learning Outcome
LO1 Summarise scientific information and display an understanding of the importance of validity and reliability in the measurement of human performance and body composition.
LO2 Identify a range of laboratory/field experiments, tests, procedures, and techniques that are used in exercise science and demonstrate the ability to employ a range of basic statistical techniques.

Module Requisites

N/A

Assessment Criteria

Assessment Category Assessment Type Description Duration Word Count Weight (%) Best of? Pass Mark
Asynchronous Assessment Report 1 Practical Laboratory Reports (2 x 1000 words) 0 2000 70 No 40
Synchronous Online Assessment Classroom Test - Time Constrained (Online) 1 Multiple choice quiz (MCQ) 20 N/A 30 No 40

Assessment Matrix

Assessment Type Learning Outcomes
LO1 LO2
Report 1
Classroom Test - Time Constrained (Online) 1

Reading List

Link to Library reading list:  

https://unilearn.southwales.ac.uk/ultra/courses/_196610_1/cl/outline  

Eston, R.G. and Reilly, T. (2009) Kinanthropometry and exercise physiology laboratory manual: tests, procedures and data, Volume one: Anthropometry. 3rd ed. Abingdon, Oxon: Routledge.  

Morrow, J.R. et al. (2016) Measurement and evaluation in human performance. Fifth edition. Champaign, IL: Human Kinetics.  

Price, M. (2022) Lab reports and projects in sport and exercise science: a guide for students. Second edition. New York, NY: Routledge. 

Reaburn, P. (2011) Practical skills in sport and exercise science. Harlow, England: Prentice Hall. 

Thomas, J.R. et al. (2023) Research methods in physical activity. Eighth edition. Champaign, IL: Human Kinetics.

Williams, C.A., James, D.V.B. and Wilson, C. (2008) Mathematics and science for sport and exercise: the basics. London: Routledge.