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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)