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. 2016 Mar 9;7:322. doi: 10.3389/fpsyg.2016.00322

Table 2.

Measurement model fit parameters for each dimension (ML estimation; MTMM approach) when testing consistency of responses between Polish-language and English-language versions.

Dimension χ2(df) χ2/df CFI TLI RMSEA (90% C.I.)
Brooding 54.99*(29) 1.90 0.93 0.88 0.17 (0.10–0.24)
Reflection 36.04(29) 1.24 0.98 0.96 0.09 (0.01–0.19)
Core features of RNT 226.76**(125) 1.81 0.91 0.89 0.11 (0.09–0.13)
Unproductiveness of RNT 6.66(5) 1.33 0.99 0.98 0.07 (0.01–0.19)
Mental capacity captured by RNT 1.40(5) 0.28 1.00 1.00 0.01 (0.01–0.06)
Abstract analytic thinking 175.99*(125) 1.41 0.90 0.87 0.11 (0.07–0.14)
Concrete experiential thinking 126.58**(69) 1.83 0.82 0.77 0.15 (0.10–0.19)

CFI, the Comparative Fit Index; TLI, the Tucker-Lewis Index; RMSEA, the Root Mean Square Error of Approximation.

*

p < 0.01,

**

p < 0.001.