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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