Decomposing the heterogeneity of depression at the person-, symptom-, and time-level: latent variable models versus multimode principal component analysis

HIGHLIGHTS

• who: Stijn de Vos from the The data came from , outpatients visiting a specialized day-care depression unit at the Department of Psychiatry at the University Medical Center Groningen (UMCG)The data collection was part of a , weeks long treatment program. The mean age was, ., (SD=11.9), ., % were female, and none were hospitalized. Patients were administered the Quick Inventory of Depressive Symptomatology (QIDS-SR have published the research work: Decomposing the heterogeneity of depression at the person-, symptom-, and time-level: latent variable models versus multimode principal component analysis, in the Journal: (JOURNAL)
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