Research Methodology MusculoskeletalPhysiotherapy

2019-2020

Course Objective

The intended learning outcomes are:
• To gain knowledge and understanding of research methods commonly used
in human movement sciences and musculoskeletal physiotherapy sciences
(epidemiology, regression analysis, research designs, prognostic
research, diagnostic research, clinical effectiveness research designs,
systematic reviews, statistics in experimental research).
• To be able to apply knowledge to formulate new research questions, to
select appropriate research designs, to correctly select and perform
statistical procedures using SPSS software, to interpret the output
properly and to communicate the methods and findings correctly.
• To be able to use appropriate knowledge and tools to critically
appraise the quality of scientific research in human movement sciences,
musculoskeletal physiotherapy sciences and related fields.
• To reach a level of understanding of clinical epidemiology,
experimental research and statistics that enables participation in the
debate about strengths and limitations of specific research designs and
statistical procedures, and that enables effective communication and
collaboration with other clinicians, researchers, epidemiologists and
statisticians.

Course Content

In this course, the student will become familiar with the research
methodology and statistical analyses that are frequently used in human
movement sciences and musculoskeletal physiotherapy sciences. The
student will also learn how to use SPSS for statistical analyses and how
to interpret and document the output in relation to research questions.

Teaching Methods

Preparation time lectures: 42 hours
Lectures: 28 hours
Practical assignments: 44 hours
Exam preparation: 45.75 hours
Exams: 8.25 hours

Method of Assessment

Learning outcomes are assessed via one theoretical and two practical
examinations. The theoretical examination (40% of total score) consists
of short answer questions. In the practical examinations, with one
practical examination accounting for 40% of total score and the other
practical examination accounting for 20% of total score, students are
requested to analyse datasets using SPSS software. All examinations are
must-pass components (≥5.5/10).

Literature

Field (2018) Discovering statistics using IBM SPSS statistics (5th or
4th edition)
Fletcher (2014) Clinical epidemiology (5th edition)
De Vet (2011) Measurement in Medicine

General Information

Course Code B_REMMP
Credits 6 EC
Period P2
Course Level 400
Language of Tuition English
Faculty Fac. of Behavioural and Movement Science
Course Coordinator dr. M.J.M. Hoozemans
Examiner dr. M.J.M. Hoozemans
Teaching Staff dr. M.J.M. Hoozemans

Practical Information

You need to register for this course yourself

Teaching Methods Computer lab, Lecture, Meeting