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. 2017 Jun 9;8(sup2):1321357. doi: 10.1080/20008198.2017.1321357

Table 3.

Model fitting results for testing MI of the Harvard Trauma Questionnaire across five linguistic groups.

  vs. χ2 df ∆χ2 ∆df χ2/df CFI ∆CFI TLI RMSEA
1. Configural MI: total sample 1072.991 505 .962 .955 .067
1a. Configural MI: Indo-Iranian languages 220.150 101 .950 .941 .067
1b. Configural MI: Niger-Congo languages 119.752 101 .985 .982 .038
1c. Configural MI: Semitic languages 219.875 101 .922 .908 .064
1d. Configural MI: South Slavic languages 243.923 101 .924 .908 .085
1e. Configural MI: Germanic languages 290.933 101 .976 .972 .071
2. Strong MI 1 1429.417 673 414.764 168 2.469 .949 .013 .955 .067
3. Partial strong MI 1 1189.434 631 188.134 126 1.493 .963 −.001 .964 .060
4. Partial strict MI 3 1303.349 679 146.734 48 3.057 .958 .005 .963 .061

Best fitting model is printed in bold; vs. = versus; χ2, df = chi-square test statistic and degrees of freedom for model; ∆χ2, ∆df = chi-square test statistic and degrees of freedom for chi-square difference test between two nested models; χ2/df = ratio between χ2 and degrees of freedom with regard to the chi-square difference test; ∆CFI = difference in CFI value between two nested models.

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