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Table 4 Multi-group factor analyses for sex, cohort and sex*cohort based on the correlated two dimensions of the PHQ-9

From: Bidimensional structure and measurement equivalence of the Patient Health Questionnaire-9: sex-sensitive assessment of depressive symptoms in three representative German cohort studies

 

χ2

df

Δ χ 2

p

CFI

Δ CFI

RMSEA

Δ RMSEA

Multigroup analysis - sex

 Configural

2126.215

52

–

<.001

0.949

–

0.064

–

 Metric

2170.316

59

44.101

<.001

0.948

−0.001

0.061

−0.003

 Scalar

2307.861

66

137.545

<.001

0.945

−0.003

0.059

−0.002

 Strict

3111.314

75

803.453

<.001

0.925

−0.020

0.064

0.005

Multigroup analysis - cohorts

 Configural

2149.418

78

–

<.001

0.950

–

0.064

–

 Metric

2509.791

92

360.373

<.001

0.941

−0.009

0.064

0.000

 Scalar

2899.773

106

389.982

<.001

0.932

−0.009

0.064

0.000

 Strict

3974.251

124

1074.478

<.001

0.907

−0.025

0.069

0.005

Multigroup analysis - sex*cohort

 Configural

2357.950

156

–

<.001

0.946

–

0.066

–

 Metric

2822.798

191

464.848

<.001

0.935

−0.011

0.065

−0.001

 Scalar

3358.508

226

535.710

<.001

0.923

−0.012

0.065

0.000

 Strict

5612.387

271

2253.879

<.001

0.868

−0.055

0.078

0.013

  1. Note: df degrees of freedom, CFI comparative-Fit Index, RMSEA root mean square error of approximation