Validation
This is the landing page for topics related to the validation of measurements.
Validating a measurement instrument means to evaluate whether our measurement instrument is measuring what it is supposed to measure. Validating measurement instruments is a key part of doing any study, ILD studies included: if our measures are invalid, our results may be more or less meaningless.
There are various approaches to validating a measurement instrument, ranging from doing qualitative studies to see what participants make of the items you designed, to using statistical models to estimate the reliability of an item. Typically, it will require multiple of these approaches together (triangulation) to ensure our measurement instrument is actually valid.
Read more about various topics related to the validation of ILD studies below.
Think more about validation
Understanding what validity and reliability imply for intensive longitudinal data.
- [When are my measurements good enough?]
- [Validity for ILD]
- [Reliability for ILD]
You can take different approaches to check the validity of your data.
- [Face validity for ILD]
- [Content validity for ILD]
- [Predictive, convergent, and divergent validity for ILD]
- [Qualitative evaluations of measurement instruments]
Different reliability approaches may be necessary depending on your measurement design.
- Reliability for single items
- [Reliability for multiple item measures]