Data collection methods in the health sciences

lknr1201  2026-2027  Louvain-la-Neuve

Data collection methods in the health sciences
2.00 credits
22.5 h + 7.5 h
Q1
Teacher(s)
Bleyenheuft Yannick;
Language
French
Prerequisites

The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
  • Types of empirical data (qualitative and quantitative) 
  • Types of data collection methods (experiments, case studies, surveys, interviews, documents, focus groups, observations)  
  • Research ethics in data collection: anonymity, confidentiality, etc.
  • GDPR 
  • Analysis of bias (appropriate scales depending on the study design) and the validity of data collection methods  
  • Choice of variables: link between the variable, hypotheses, scales, and data collection  
  • Querying databases (Pubmed, Medline, Embase, etc.)
Learning outcomes

At the end of this learning unit, the student is able to :

  • Describe the basic principles and steps of data collection in the field health sciences (6.1, 9.2)
  • Describe the different types of data in the field of motor science/health (6.1)
  • Describe the different types of data collection methods in the field motor skills health (6.1)
  • Identify biases in data collection and a scientific article using the appropriate scales (6.2, 6.3)
  • Carry out a critical synthesis of a few scientific articles (<5) on a health problem (6.3)
 
Other information
This course is reserved for FSM students. Access is possible to other UCLouvain students on the basis of an application to be submitted to the course coordinator.
Faculty or entity
> FSM


Programmes / formations proposant cette unité d'enseignement (UE)

Title of the programme
Sigle
Credits
Prerequisites
Learning outcomes
Bachelor in Physiotherapy and Rehabilitation
KINE1BA
2
LFSM1103 AND LKNR1101