Skip to main content
. 2019 Mar 22;10:136. doi: 10.3389/fpsyt.2019.00136

Table 2.

Confirmatory factor analysis of four measurement models of PIUQ-9.

χ2 df p CFI TLI RMSEA RMSEA pclose SRMR SSABIC
ITALIAN VERSION (n = 1,346)
3-factor model 192.2 24 <0.001 0.941 0.912 0.072 [0.063–0.082] <0.001 0.050
2-factor model 245.7 26 <0.001 0.923 0.893 0.079 [0.070–0.088] <0.001 0.053
Bifactor model with 3 specific factorsc 116.4 19 <0.001 0.966 0.935 0.062 [0.051–0.073] 0.034 0.031 30801.9
Bifactor model with 2 specific factorsf 103.7 19 <0.001 0.970 0.944 0.058 [0.047–0.069] 0.117 0.029 30782.5
GERMAN VERSION (n = 1,190)
3-factor model 152.2 24 <0.001 0.941 0.911 0.067 [0.057–0.077] 0.003 0.050
2-factor model 225.5 26 <0.001 0.908 0.873 0.080 [0.071–0.090] <0.001 0.058
Bifactor model with 3 specific factorsd 58.5 19 <0.001 0.982 0.966 0.042 [0.030–0.054] 0.856 0.025 24887.3
Bifactor model with 2 specific factors 49.3 18 <0.001 0.986 0.971 0.038 [0.026–0.051] 0.932 0.018 24864.7
FRENCH VERSION (n = 1,030)
3-factor model 245.4 24 <0.001 0.893 0.839 0.095 [0.084–0.106] <0.001 0.059
2-factor model 258.9 26 <0.001 0.887 0.844 0.093 [0.083–0.104] <0.001 0.059
Bifactor model with 3 specific factors 139.8 18 <0.001 0.941 0.882 0.081 [0.069–0.094] <0.001 0.039 23986.1
Bifactor model with 2 specific factors 98.2 18 <0.001 0.961 0.922 0.066 [0.053–0.079] 0.019 0.031 23935.0
POLISH VERSION (n = 548)
3-factor model 149.7 24 <0.001 0.909 0.864 0.098 [0.083–0.113] <0.001 0.058
2-factor model 154.7 26 <0.001 0.907 0.871 0.095 [0.081–0.110] <0.001 0.058
Bifactor model with 3 specific factorsc 103.6 19 <0.001 0.939 0.884 0.090 [0.074–0.107] <0.001 0.042 12530.5
Bifactor model with 2 specific factors 68.7 18 <0.001 0.963 0.927 0.072 [0.054–0.090] 0.022 0.030 12488.1
SPANISH VERSION (n = 473)
3-factor model* 104.1 24 <0.001 0.923 0.885 0.084 [0.068–0.101] <0.001 0.051
2-factor model 111.7 26 <0.001 0.918 0.886 0.083 [0.068–0.100] <0.001 0.052
Bifactor model with 3 specific factorse 65.9 19 <0.001 0.955 0.915 0.072 [0.054–0.092] 0.026 0.038 10599.9
Bifactor model with 2.specific factors 47.3 18 <0.001 0.972 0.944 0.059 [0.039–0.079] 0.221 0.030 10566.0
TURKISH VERSION (n = 432)
3-factor model 70.8 24 <0.001 0.964 0.946 0.067 [0.049–0.086] 0.056 0.037
2-factor model 73.3 26 <0.001 0.964 0.950 0.065 [0.048–0.083] 0.076 0.036
Bifactor model with 3 specific factorsc 42.7 19 0.001 0.982 0.965 0.054 [0.032–0.075] 0.359 0.027 10171.0
Bifactor model with 2 specific factorsb 25.9 19 0.133 0.995 0.990 0.029 [0.000–0.054] 0.905 0.018 10147.9
HUNGARIAN VERSION (n = 245)
3-factor model 97.4 24 <0.001 0.884 0.826 0.112 [0.089–0.135] <0.001 0.066
2-factor model 107.1 26 <0.001 0.872 0.822 0.113 [0.091–0.135] <0.001 0.066
Bifactor model with 3 specific factors 70.2 18 <0.001 0.917 0.835 0.109 [0.083–0.136] <0.001 0.044 5618.7
Bifactor model with 2 specific factorsb 57.0 19 <0.001 0.940 0.886 0.090 [0.064–0.118] 0.008 0.035 5604.2
ENGLISH VERSION (n = 175)
3-factor model 51.4 24 <0.001 0.931 0.897 0.081 [0.050–0.111] 0.050 0.062
2-factor model 96.8 26 <0.001 0.822 0.753 0.125 [0.099–0.152] <0.001 0.079
Bifactor model with 3 specific factorse 38.7 19 0.005 0.950 0.906 0.077 [0.041–0.112] 0.097 0.048 4360.4
Bifactor model with 2 specific factorsb 24.5 19 0.176 0.986 0.974 0.041 [0.000–0.082] 0.595 0.036 4346.4
GREEK VERSION (n = 154)
3-factor modela 43.5 24 0.009 0.963 0.944 0.073 [0.036–0.107] 0.134 0.042
2-factor model 45.2 26 0.011 0.964 0.950 0.069 [0.033–0.102] 0.166 0.044
Bifactor model with 3 specific factorsb,e 29.5 20 0.078 0.982 0.967 0.056 [0.000–0.096] 0.379 0.031 3636.9
Bifactor model with 2 specific factorsb 25.0 19 0.160 0.989 0.978 0.045 [0.000–0.089] 0.524 0.028 3634.4

PIUQ-9, Problematic Internet Use Questionnaire−9 items; CFI, comparative fit index; TLI, Tucker-Lewis Index; RMSEA, root-mean-square error of approximation; SRMR, standardized root mean residual; SSABIC, sample-size adjusted Bayesian Information Criteria.

a

Error message (the model is instable due to a correlation larger than 1 between Control disorder and Neglect factors).

b

Residual variance of item 1 is fixed to zero.

c

Residual variance of item 4 is fixed to zero.

d

Residual variance of item 8 is fixed to zero.

e

Residual variance of item 5 is fixed to zero.

f

Residual variance of item 6 is fixed to zero.