Skip to main content
. 2020 Jul 10;11:1564. doi: 10.3389/fpsyg.2020.01564

TABLE 1.

Measurement invariance testing for country of residence, gender, and skill level.

Model χ2 df Δχ2 Δdf CFI ΔCFI TLI SRMR RMSEA (90% CI)
Gender
Configural invariance 4501.12 1648 0.934 0.928 0.034 0.041 (0.039,0.042)
Metric invariance 4541.23 1682 40.11 34 0.934 0.000 0.929 0.035 0.040 (0.039,0.042)
Scalar invariance 4656.88 1716 115.65 34 0.932 0.002 0.928 0.035 0.041 (0.039,0.042)
Residual invariance 4731.39 1725 74.51 9 0.930 0.002 0.927 0.037 0.041 (0.040,0.042)
Country
Configural invariance 7899.22 3296 0.905 0.895 0.044 0.052 (0.050,0.053)
Metric invariance 8150.93 3398 251.71 102 0.901 0.004 0.895 0.047 0.052 (0.050,0.053)
Scalar invariance 8656.23 3500 505.30 102 0.893 0.008 0.890 0.049 0.053 (0.052,0.055)
Residual invariance 8914.95 3527 261.72 27 0.888 0.005 0.886 0.062 0.054 (0.053,0.056)
Skill level
Configural invariance 7261.64 3296 0.919 0.911 0.040 0.048 (0.047,0.050)
Metric invariance 7376.37 3398 114.73 102 0.918 0.001 0.913 0.042 0.047 (0.046,0.049)
Scalar invariance 7643.33 3500 266.96 102 0.915 0.003 0.912 0.043 0.048 (0.046,0.049)
Residual invariance 7707.94 3527 64.61 27 0.914 0.001 0.912 0.044 0.048 (0.046,0.049)

Grouping variables were as follows: Gender: (1) male, (2) female; Country: (1) United Kingdom, (2) Australia, (3) United States, (4) Hong Kong; Skill level: (1) Beginner, (2) Amateur, (3) Semi-professional/County/State, (4) Professional/National/International.