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Clinimetrics: Assessing Measurement Properties of Health Measurement Instruments (WV40)
(ONLINE COURSE)

Clinimetrics is the scientific discipline that aims to

  1. develop methods of assessing the properties of health measurement instruments,
  2. apply those methods to develop new, or evaluate existing, health measurement instruments, with the aim
  3. to improve the quality of measurements.

The choice of an appropriate measurement instrument is a key issue in all scientific research.

WV40

Course details

Date:
Online Course: 3 full days on 7,8,9 February 2022 or 6 half days between 2 and 9 February 2022
Tuition fee:
750
City: Online in 2022 Course coordinator: Professor H.C.W. (Riekie) de Vet, PhD
Language: English Learning method: Lectures and Group work
Examination: Written exam (facultative) Examination dates: See page Exams
Number of EC: 3 Details:
Date Tuition fee:
Online Course: 3 full days on 7,8,9 February 2022 or 6 half days between 2 and 9 February 2022
750
City: Online in 2022
Course coordinator: Professor H.C.W. (Riekie) de Vet, PhD
Language: English
Learning method: Lectures and Group work
Examination: Written exam (facultative)
Examination dates: See page Exams
Number of EC: 3
Details:

About the course

Because of the unpredictable situation regarding Covid, we have decided to offer the course online in February 2022. This is because there is a lot of interest from foreign students for this course and it is not yet known whether students will be able to travel freely in February 2022.

The course is offered in two variants. A 3 full days course (on 7, 8 and 9 February) and a 6 days course variant in which the course is spread over 2 weeks, from 2 until 9 February.

The lectures are recorded and the working groups will be offered live via Zoom. All extra information about the online course in February 2022 you find under the heading ‘Online course in 2022’.

If a course is [Full], you can still register, but you will be placed on a waiting list. We will contact you as soon as a place becomes available. At that time you can still decide whether you want to participate in the course.

More information

Clinimetrics is the scientific discipline that aims to (1) develop methods of assessing the properties of health measurement instruments, (2) apply those methods to develop new, or evaluate existing, health measurement instruments, with the aim (3) to improve the quality of measurements. The choice of an appropriate measurement instrument is a key issue in all scientific research. Measurement instruments are required to assess outcomes (e.g. to evaluate the effectiveness of interventions), to diagnose, and to prognosticate. Approaches to gathering data vary widely, from physical examinations to laboratory tests, from imaging techniques to self-report questionnaires. Clinical and health researchers always need to find the best instruments for their particular research and, if none are available, develop new ones.

The course is on evaluation of the quality of measurement instruments and on the design and evaluation of the quality of clinimetric studies. The emphasis is on knowing “what to measure”, by a detailed definition of the construct of interest, based on conceptual models. We continue by discussing measurement theories such as classical test theory and item response theory. For multi item instruments, dimensionality (factor analysis) internal consistency are important issues. Specific sessions will focus on reliability (particularly the distinction between reliability and measurement error), validity (with the emphasis on content validity and hypotheses testing) and responsiveness. We will also pay attention to the interpretability of an instrument’s scores.

There will be lectures with working groups in between, to discuss the content of the lectures and to practice with assessment and interpretation of the various measurement properties. For one assignment, i.e. on the calculation and interpretation of measurement error and reliability, a computer with SPSS is required.

Because of the unpredictable situation regarding Covid, we have decided to offer the course online in February 2022.

The course is offered in two variants. A 3 full days course (on 7, 8 and 9 February) and a 6 days course variant in which the course is spread over 2 weeks, from 2 until 9 February.

The online course roughly looks like this:

  • The lectures of the course are recorded. You can view them at a time of your choice via Canvas, our digital learning environment. The lectures will be available no later than January 24.
  • The working groups take place online, in the form of Zoom meetings, led by one of the teachers of the course. It is expressly intended that you have already viewed the lectures via Canvas before you participate in the associated working group.
  • We will provide you with a timetable with an overview of which lectures must have been studied for which working group.
  • There are a total of 6 work groups in the course. (duration of each work group is 1,5-2 hrs).
    • Group 1 and group 2: working groups on 7, 8, 9 February 2022 at 11.00 am and 4.00 pm (Amsterdam time!)
    • Group 3: working groups on 2, 3, 4, 7, 8, 9 February 2022 at 9.00 am (Amsterdam time!) Group 3 is full!
    • Group 4: working groups on 2, 3, 4, 7, 8, 9 February 2022 at 4.00 pm (Amsterdam time!).

Note the times indicated for the working groups are the local Amsterdam times. Amsterdam is located in the Central European Time time zone, also known as Central European Time (MET, GMT +1).

Group 3 is the best choice for students from Asia; This Group is FULL, please choose another group!
Group 4 is the best choice for students from North and South America

If you register for the course, please indicate in which group you want to participate. If a group is full you can no longer choose it and we will remove it from the website. It is not possible to change groups because the groups will consist of a maximum of 10/11 people.
During the working groups you can also ask questions about the lectures.
All course material is published on Canvas. You will receive a login for Canvas no later than January 24, 2022

  1. The student can describe the required steps for the evaluation of measurement instruments:
    • a. The student can define a construct of interest and place this in a conceptual model
    • b. The student can explain the difference between reflective and formative measurement models
    • c. The student can describe the basic principles of qualitative research methods that are being used in instrument development
    • d. The student can describe the aim and methods of pilot-testing and field-testing.
  2. The student can describe the terminology and definitions of all measurement properties and how they are related (COSMIN taxonomy).
  3. The student can reflect on the most important design requirements for studies on measurement properties.
  4. The student can describe the most appropriate statistical methods for evaluating measurement properties and criteria for good measurement properties.
  5. The student is able to calculate the following statistical parameters: Intraclass Correlation Coefficients, Standard Error of Measurement, Smallest Detectable Change, Kappa, percentage agreement, Cronbach’s alpha, and Minimal Important Change.
  6. The student is able to interpret change scores using the principles of Minimal Important Change and Smallest Detectable Change.
  7. The student can explain the basic principles of Confirmatory Factor Analyses and why it is preferred over Exploratory Factor Analysis; can describe situations in which to apply Exploratory and Confirmatory Factor analysis and is able to interpret fit statistics for Confirmatory Factor Analysis.The student can explain the basic principles of Item Response Theory and its assumptions; can explain what is meant by differential item functioning, and can mention methods to assess differential item functioning.
Target group

The course is designed for healthcare practitioners and researchers who are active in medical, allied health, psychological, or behavioural research and who deal with the development, evaluation, and interpretation of health measurements.

Course pre-requisites

Attendants are expected to have at least basic knowledge of epidemiological and statistical methods.

Coursematerial

The course materials (lectures, assignments, feedback of the assignments etc) are available on Canvas, our digital learning environment. The documents will remain available on Canvas for at least one year.

To be able to do the computer practicals of this course you will need:

SPSS; if you don’t have SPSS on your laptop, you can purchase SPSS through Surfspot at a very reasonable price. If you do not want to purchase SPSS, you can use the trial version that IBM makes available. See SPSS Software | IBM

Literature

Henrica C. W. de Vet, Caroline B. Terwee, Lidwine B. Mokkink, Dirk L. Knol, Measurement in Medicine. 2011. Cambridge University Press. ISBN:9780521133852

Students participating in the course as part of the Master’s programme Epidemiology need to pass the exam in order to complete the course.

Students not participating in Master’s programme Epidemiology who sign up for this course as a separate / single course can optionally register for the exam. The examination fee is € 150 per registration.

You can register for the exam via the website: Exams. Registration will close 3 weeks prior to the exam.

Please note that you need to pass the exam in order to receive credits (EC).

A certificate of participation will be granted to all students who have attended at least 80% of the classes. Only contact hours are stated on this certificate.

Only for Dutch medical specialists!

If you wish to be considered for accreditation points by the KNMG , you must sign the attendance list on the last day of the course.

To qualify for the accreditation points, you must have been present the whole course.

Faculty

Date:
Online Course: 3 full days on 7,8,9 February 2022 or 6 half days between 2 and 9 February 2022
Tuition fee:
750
City: Online in 2022 Course coordinator: Professor H.C.W. (Riekie) de Vet, PhD
Language: English Learning method: Lectures and Group work
Examination: Written exam (facultative) Examination dates: See page Exams
Number of EC: 3 Details:
Date Tuition fee:
Online Course: 3 full days on 7,8,9 February 2022 or 6 half days between 2 and 9 February 2022
750
City: Online in 2022
Course coordinator: Professor H.C.W. (Riekie) de Vet, PhD
Language: English
Learning method: Lectures and Group work
Examination: Written exam (facultative)
Examination dates: See page Exams
Number of EC: 3
Details: