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Table 2 Fit indexes for confirmatory factor analysis per sample, 2018

From: Measuring public knowledge on nuclear weapons in the post-Cold War: dimensionality and measurement invariance across eight European countries

  (A) Unidimensional (df = 35) (B) Bifactor (df = 32)
  χ2 CFI RMSEA SRMR χ2 CFI RMSEA SRMR ECV
United Kingdom 378.9 0.935 0.099 0.085 95.6 0.988 0.044 0.041 0.72
France 327.4 0.939 0.091 0.083 96.6 0.987 0.045 0.044 0.72
Germany 250.7 0.945 0.090 0.079 60.9 0.993 0.034 0.037 0.73
Italy 174.2 0.910 0.072 0.091 79.8 0.969 0.044 0.060 0.66
Belgium 313.6 0.882 0.103 0.104 78.2 0.980 0.044 0.050 0.63
Netherlands 311.1 0.866 0.102 0.106 71.0 0.981 0.040 0.048 0.60
Poland 160.6 0.947 0.069 0.077 52.1 0.991 0.029 0.042 0.71
Sweden 211.3 0.946 0.082 0.078 50.2 0.994 0.027 0.036 0.73
  1. Note: All models are fitted using unweighted least squares estimator with mean- and variance-adjusted test statistics. χ2, mean- and variance-adjusted chi-squared test statistics; df degrees of freedom, CFI comparative fit index, RMSEA root mean square error of approximation, SRMR standardized root mean square residual, ECV explained common variance. For model identification, the latent factors and the latent variate underlying the observed variables have their means and variances set to 0 and to unit, respectively