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Table 5 Measurement invariance model across genders in the clinical populations fitting indices and comparison

From: Factorial structure and measurement invariance of the Chinese version of the Oral Health Impact Profile-14 among clinical populations and non-clinical populations: an evidence for public oral investigations

Model

χ²(df), p

CFI

TLI

SRMR

RMSEA

Model comparison

∆CFI

∆RMSEA

Male

132.008(56), p < 0.001

0.951

0.920

0.042

0.074

   

Female

99.021(56), p < 0.001

0.965

0.943

0.032

0.057

   

Model 1

230.333(112), p < 0.001

0.957

0.930

0.037

0.066

   

Model 2

237.064(119), p < 0.001

0.957

0.934

0.039

0.064

2 vs. 1

0.000

-0.002

Model 3

249.092(126), p < 0.001

0.955

0.935

0.040

0.063

3 vs. 2

-0.002

-0.001

Model 4

264.613(140), p < 0.001

0.955

0.941

0.049

0.060

4 vs. 3

0.000

-0.003

  1. Model 1 = configural invariance; Model 2 = metric invariance; Model 3 = scalar invariance; Model 4 = error variance invariance; χ², chi-square; df, degree of freedom; CFI, comparative fit index; TLI, Tucker-Lewis index; SRMR, standardized root mean square residual; RMSEA, root-mean-square error of approximation; ∆, change in the parameter