PhD course: Advanced course in clinimetrics and questionnaire research

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Dear Participants,

On this page you will find course outline, teaching notes, datasets, articles and other relevant material which are relevant for the teachings on day 1, 2 and 3.

Answers to exercises will either be discussed during class or made available after the course on this webpage. Access to the webpage is only open for 1 week after the course.

Good luck with the course and your project.

Regards.

Jens, Eva and Henrik

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COURSE PROGRAMME AND TEXTBOOK

The course programme can be found here.
The programme has page numbers to the recommended course textbook (Measurement in Medicine), which we recommend you buy. It costs approx. 330 DKR, and can be bought on Saxo.

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PREPARATION FOR THE COURSE

General for all days

• Please bring your own labtop with Stata installed. Some of the exercise includes hands-on analyses of datasets in Stata. Datasets will be available from this webpage.
• Please also download the datasets to your labtop so it is ready to work on. All datasets and do-files are zipped and needs to be unzipped to use. To download a dataset or do-file, you either have to 1) click the file and choose save or 2) right-click the file and choose ‘save link/destination as’. The extension of the file should be .zip. If not, please rename it and give the file the correct extension name.

Day 1

• None

Day 2

• Please  see the vodcast on ‘Responsiveness’ before the day 2 (approx. 20 minutes):

• To get a better understanding of the MIC_prediction method, I refer to the two articles by Terluin et al. (it is not a requirement that you read them):
  • Terluin (2015) →
  • Terluin (2017) →
• Please read the article by van der Windt et al. as preparation to the exercise on ‘Responsiveness & interpretation’ →

Day 3

• Please read the following articles
  • Tennant et al. (Rasch) →
  • Petrillo et al. (comparing methods) →

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TEACHING MATERIAL – DAY 1

• Development of a new questionnaire (advanced) →
• Validity (advanced) →
• Exercise: Validity →
  • Dataset ‘Criterion validity- SF12’ → 
  • Dataset ‘Criterion validity – cancer’ → 
  • Dataset ‘Construct validity’ → 
  • Answers to exercise validity (activated after the course) →
  • Do-file to exercise validity →
• Factor analysis →
• Exercise: Factor analysis →

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Please be aware that several of the documents are not ready for download yet and links will be activated when the notes/files are ready

TEACHING MATERIAL – DAY 2

• Field testing →
• Exercise: Field testing →
  
  • Dataset → 
  • Answers to exercise field test (activated after the course) → ,
  • Do-file to field test exercise →
• Reproducibility →
• Exercise: Reproducibility →
  
  • Answers to exercise reproducibility (activated after the course) → ,
• Responsiveness vodcast as pdf →
• Interpretation →
• Exercise: Responsiveness & interpretation →
  • Dataset → 
  • Excel spreadsheet needed for the group work →
  • Answers to exercise resp. & interp. (activated after the course) → ,

 

• STATA commands to calculate correlations, ICC, SEM and Bland & Altman LOA (activated after the course) →

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Please be aware that several of the documents are not ready for download yet and links will be activated when the notes/files are ready

TEACHING MATERIAL – DAY 3

• Introduction to Item Response Theory →
• Introduction to Rasch analysis →
• Exercise IRT →
• Exercise IRT using Stata →
• Exercise IRT dataset →
• Answers to exercise IRT →
• Answers to exercise IRT Stata →
• Exercise Rasch using Stata →
• Exercise Rasch dataset →
• Answers to exercise RM Stata →
• Whiteley-8 UK → 

Preparation

Please read the following text:

• Tennant et al. (2007) →