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. 2023 Sep 8;7:90. doi: 10.1186/s41687-023-00632-5

Table 4.

CFA results for competitive factorial structure analyses of the RPQ across the language samples (raw data)

Factor structure Language χ2 df χ2/df p CFI TLI RMSEA CI90% SRMR
One-factor structure [6] Dutch 776.54 104 7.47 < 0.001 0.988 0.986 0.105 [0.098, 0.112] 0.075
English 324.13 104 3.12 < 0.001 0.987 0.985 0.098 [0.086, 0.111] 0.096
Finnish 267.05 104 2.57 < 0.001 0.988 0.986 0.087 [0.074, 0.100] 0.088
Italian 422.31 104 4.06 < 0.001 0.979 0.975 0.107 [0.097, 0.118] 0.093
Norwegian 228.23 104 2.19 < 0.001 0.992 0.991 0.068 [0.056, 0.080] 0.078
Spanish 262.18 104 2.52 < 0.001 0.986 0.984 0.078 [0.066, 0.090] 0.085
Two-factor model (emotional-somatic, cognitive)a [19] Dutch 549.25 89 6.17 < 0.001 0.992 0.990 0.094 [0.086, 0.102] 0.065
English 260.63 89 2.93 < 0.001 0.989 0.988 0.094 [0.081, 0.107] 0.090
Finnish 238.98 89 2.69 < 0.001 0.988 0.986 0.090 [0.076, 0.104] 0.085
Italian 324.95 89 3.65 < 0.001 0.983 0.980 0.100 [0.088, 0.112] 0.084
Norwegian 188.48 89 2.12 < 0.001 0.993 0.992 0.066 [0.053, 0.079] 0.066
Spanish 214.95 89 2.42 < 0.001 0.989 0.987 0.075 [0.062, 0.088] 0.077
Two-factor model (RPQ-3, RPQ-13) [20] Dutch 738.87 103 7.17 < 0.001 0.989 0.987 0.103 [0.096, 0.110] 0.071
English 275.66 103 2.68 < 0.001 0.990 0.988 0.087 [0.075, 0.100] 0.087
Finnish 241.52 103 2.34 < 0.001 0.990 0.988 0.080 [0.067, 0.094] 0.083
Italian 379.96 103 3.69 < 0.001 0.981 0.978 0.101 [0.090, 0.111] 0.086
Norwegian 217.73 103 2.11 < 0.001 0.993 0.991 0.065 [0.053, 0.078] 0.076
Spanish 242.58 103 2.36 < 0.001 0.987 0.985 0.073 [0.062, 0.085] 0.079
Three-factor model (somatic, emotional, cognitive) [21] Dutch 249.47 101 2.47 < 0.001 0.997 0.997 0.050 [0.042, 0.058] 0.051
English 189.19 101 1.87 < 0.001 0.995 0.994 0.063 [0.049, 0.077] 0.077
Finnish 158.61 101 1.57 < 0.001 0.996 0.995 0.052 [0.036, 0.068] 0.067
Italian 239.43 101 2.37 < 0.001 0.991 0.989 0.072 [0.060, 0.084] 0.076
Norwegian 128.81 101 1.28 0.032 0.998 0.998 0.033 [0.010, 0.048] 0.067
Spanish 139.54 101 1.38 0.007 0.997 0.996 0.039 [0.021, 0.054] 0.064
Three-factor model (general somatic, mood/cognition, visual somatic) [22] Dutch 572.62 101 5.67 < 0.001 0.992 0.990 0.089 [0.082, 0.096] 0.060
English 214.40 101 2.12 < 0.001 0.993 0.992 0.072 [0.058, 0.085] 0.074
Finnish 178.44 101 1.77 < 0.001 0.994 0.993 0.061 [0.046, 0.075] 0.071
Italian 265.30 101 2.63 < 0.001 0.989 0.987 0.078 [0.067, 0.090] 0.072
Norwegian 207.86 101 2.06 < 0.001 0.993 0.992 0.064 [0.051, 0.076] 0.073
Spanish 165.25 101 1.64 < 0.001 0.994 0.993 0.050 [0.036, 0.064] 0.067
Four-factor model (vertigo, mood/somatic, cognitive, vision) [23] Dutch 176.40 98 1.80 < 0.001 0.999 0.998 0.037 [0.028, 0.046] 0.041
English 122.90 98 1.25 0.045 0.999 0.998 0.034 [0.005, 0.052] 0.066
Finnish 113.21 98 1.16 0.140 0.999 0.999 0.027 [0.000, 0.047] 0.057
Italian 157.42 98 1.61 < 0.001 0.996 0.995 0.048 [0.033, 0.061] 0.059
Norwegian 117.66 98 1.20 0.086 0.999 0.998 0.028 [0.000, 0.045] 0.062
Spanish 101.95 98 1.04 0.372 1.000 1.000 0.013 [0.000, 0.036] 0.058

Values in bold indicate good model fit according to the respective cut-offs

aEstimation of the two-factor model comprising emotional/somatic and cognitive domains resulted in a not positive definite covariance matrix of the latent variables. Therefore, the results should be interpreted with caution

χ2, chi square; df, degree of freedom; χ2/df, ratio (cut-off: ≤ 2); p, p-value; CFI, Comparative Fit Index (cut-off: > 0.95); TLI, Tucker-Lewis Index (cut-off: > 0.95); RMSEA, root mean square error of approximation (cut-off: < 0.08) with 90% confidence interval (CI); SRMR, standardized root mean square residual (cut-off: < 0.08)