Factor Analysis

New publication: Latent variable scoring of the PHQ-9

In 2019 I stayed at McGill University in Montreal over the summer at Brett Thombs' Research Group and in particular the DEPRESSD project - a large scale initiative to gather as much raw data as possible from diagnostic studies of some of the most popular depression screening tools.

Comparison of different scoring methods based on latent variable models of the PHQ-9: an individual participant data meta-analysis

**Background:** Previous research on the depression scale of the Patient Health Questionnaire (PHQ-9) has found that different latent factor models have maximized empirical measures of goodness-of-fit. The clinical relevance of these differences is …

Comparison of the Factor Structure of the Patient Health Questionnaire for Somatic Symptoms (PHQ-15) in China. A Transcultural Structural Equation Modeling (SEM) Study