Using structural equation modeling to detect response shifts and true change
- PMID: 16022054
- DOI: 10.1007/s11136-004-0830-y
Using structural equation modeling to detect response shifts and true change
Abstract
The assessment of change in patient-reported outcomes is hindered by the fact that there are different types of change. Besides 'true' change, different types of response shift, such as recalibration, reprioritization, and reconceptualization, may occur. We describe how structural equation modeling can be used to detect response shifts and to measure true change.
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