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Research often requires comparing scores between different populations (e.g., age groups, gender, cultural factors) or within a particular group (e.g., symptom severity).
Identifying group differences can help target interventions and improve care. It is therefore important that a measure has been tested for measurement invariance to ensure it works the same across different groups.
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