2023-2024 / METO1018-1

Evidence Based Practice - Research and critical analysis of literature

Presentation of research themes

Evidence Based Practice

Use of a statistical software

Duration

Presentation of research themes : 15h SEM
Evidence Based Practice : 6h Th
Use of a statistical software : 4h Th

Number of credits

 Master in motor sciences (120 ECTS)2 crédits 
 Master in motor sciences : physical education (120 ECTS)2 crédits 

Lecturer

Presentation of research themes : Collégialité
Evidence Based Practice : Olivier Bruyère, Fanny Buckinx
Use of a statistical software : Anne-Françoise Donneau

Coordinator

Olivier Bruyère

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

Evidence Based Practice

The different types of studies
Bias in research
Experimentation methodology
Assessment of the relevance of the literature

Use of a statistical software

 Introduction to database creation

ANOVA-I and ANOVA for repeated measures 

Learning outcomes of the learning unit

Evidence Based Practice

The objective of this course is to provide the student with elements required to critically appraise the scientific data of his future professional activities, and his end of study work.

Use of a statistical software

At the end of the course, the student should be able to use the main functions of R

Prerequisite knowledge and skills

Evidence Based Practice

/..

Use of a statistical software

STAT1001-1 or equivalent

Planned learning activities and teaching methods

Evidence Based Practice

6 hours of theory

Use of a statistical software

The course is taught using a PC

Mode of delivery (face to face, distance learning, hybrid learning)

Evidence Based Practice

Blended learning

Use of a statistical software

Face-to-face course


Additional information:

Face-to-face course


Additional information:

Classroom teaching during the first semester

Recommended or required readings

Evidence Based Practice

Lecture notes will be available via myULiège.

Use of a statistical software

Slides as well as databases used during the courses will be made available to the students.

Evidence Based Practice

Written exam

Use of a statistical software

None

Work placement(s)

Evidence Based Practice

/..

Organisational remarks and main changes to the course

Evidence Based Practice

For the examination procedures, please refer to the official rules available on the University website.

Use of a statistical software

Students will have to bring their PC with the R-Rcmdr software duly installed

Contacts

Evidence Based Practice

Please, use only your ULiege email address (XXX@student.uliege.be) for any exchange of mails and specify in the subject line of your email the course code (METO1018-1) and your section (Motricity Sciences or Physiotherapy and Readaptation).
Professor Olivier Bruyère Department of Public Health, Epidemiology, and Health Economics CHU Sart Tilman, Bât.B23 4000 Liège Tel. : +32 (0)4 366 25 81 Fax : +32 (0)4 366 28 12 Email : olivier.bruyere@uliege.be

Use of a statistical software

* Anne-Françoise DONNEAU (Professor), Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique. Tél: 04-366.47.90 Email: afdonneau@uliege.be


* Assistante :Justine MONSEUR, Quartier Hôpital, Avenue Hippocrate, 13 - Bât 23, 4000 Liège - Belgique - Tél: 04-366.24.67 - Email:jmonseur@uliege.be

Association of one or more MOOCs