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.