Skip to main content

Advertisement

Table 7 Results linear regression analysis on item-specific DIFa

From: Measurement invariance testing of the PHQ-9 in a multi-ethnic population in Europe: the HELIUS study

  PHQ-9 Item: 1 2 3 4 5 6 7 8 9
  R2 R2 R2 R2 R2 R2 R2 R2 R2
Men: Ethnicity 0.008 0.005 0.000 0.007 0.004 0.004 0.001 0.001 0.001
Ethnicity + ethnicity*factor score 0.014 0.009 0.002 0.009 0.006 0.009 0.002 0.004 0.003
Women: Ethnicity 0.012 0.006 0.001 0.005 0.003 0.002 0.001 0.003 0.002
Ethnicity + ethnicity*factor score 0.015 0.011 0.003 0.006 0.004 0.003 0.002 0.005 0.003
  1. R2 = explained variance
  2. aOutcome variable in these linear regression analyses: Residuals that were obtained in logistic regression models with PHQ-9 item scores as outcome variables, and PHQ-9 factor score as the predictor (for all regression coefficients, see Tables 8 and 9)