Psychometric property and measurement invariance of internet addiction test: the effect of socio-demographic and internet use variables

Lu, Xi; Yeo, Kee Jiar; Guo, Fang; Zhao, Zhenqing; Wu, Ou

doi:10.1186/s12889-022-13915-1

Table 8 The impact of covariates on IAT latent factors and items

From: Psychometric property and measurement invariance of internet addiction test: the effect of socio-demographic and internet use variables

	MIMIC model				MIMIC model with DIF
predictors	B	S.E.	p	β	B	S.E.	p	Β
Factor 1
Female	−0.082	0.049	0.098	−0.117	− 0.081	0.049	0.099	−0.112
Age	−0.005	0.019	0.804	−0.016	−0.005	0.019	0.805	−0.016
Time	0.078	0.008	0.000	0.315**	0.099	0.008	0.000	0.388**
experience	0.006	0.007	0.381	0.039	0.006	0.007	0.381	0.037
Year 1	0.205	0.085	0.016	0.292*	0.204	0.084	0.016	0.283*
Year 2	0.217	0.072	0.003	0.309**	0.216	0.072	0.003	0.300**
Major in science	−0.049	0.067	0.469	− 0.070	− 0.049	0.067	0.467	− 0.068
Major in engineering	0.048	0.068	0.484	0.068	0.048	0.068	0.484	0.067
Major in others	−0.002	0.060	0.979	−0.003	−0.002	0.060	0.978	−0.003
General	−0.146	0.078	0.062	−0.208	−0.146	0.078	0.062	−0.202
Cellphone game	0.076	0.077	0.319	0.108	0.076	0.076	0.319	0.105
SNS	−0.008	0.062	0.900	−0.011	−0.008	0.062	0.900	−0.011
Other	0.107	0.080	0.182	0.153	0.107	0.080	0.182	0.148
Factor2
female	−0.094	0.047	0.047	−0.132*	−0.065	0.047	0.171	−0.092
Age	−0.004	0.013	0.744	−0.015	−0.004	0.013	0.744	−0.015
time	0.080	0.008	0.000	0.317	0.077	0.008	0.000	0.305**
experience	0.004	0.005	0.420	0.027	0.004	0.005	0.419	0.027
Year 1	0.213	0.078	0.006	0.299**	0.213	0.078	0.006	0.300**
Year 2	0.261	0.070	0.000	0.367**	0.261	0.070	0.000	0.368**
Major in science	−0.022	0.066	0.739	−0.031	−0.022	0.066	0.738	−0.031
Major in engineering	−0.020	0.067	0.762	−0.028	−0.020	0.067	0.763	−0.028
Major in others	−0.032	0.058	0.573	−0.045	−0.033	0.058	0.573	−0.047
General	−0.175	0.073	0.016	−0.246*	−0.175	0.073	0.016	−0.247*
Cellphone game	0.132	0.074	0.076	0.186	0.132	0.074	0.076	0.186
SNS	−0.001	0.059	0.984	−0.001	0.001	0.059	0.985	0.001
Other	0.141	0.079	0.075	0.198	0.141	0.079	0.075	0.199
Factor3
female	−0.111	0.059	0.061	−0.150	− 0.111	0.059	0.061	−0.150
Age	−0.010	0.016	0.510	−0.033	−0.010	0.016	0.510	−0.033
time	0.064	0.009	0.000	0.245**	0.064	0.009	0.000	0.245**
experience	0.000	0.007	0.962	−0.001	0.000	0.007	0.962	−0.001
Year 1	0.307	0.097	0.002	0.414**	0.306	0.097	0.002	0.412**
Year 2	0.250	0.085	0.003	0.337**	0.250	0.085	0.003	0.337**
Major in science	−0.054	0.083	0.516	− 0.073	−0.054	0.083	0.516	−0.073
Major in engineering	−0.046	0.082	0.575	−0.062	−0.046	0.082	0.575	−0.062
Major in others	0.036	0.072	0.618	0.049	0.036	0.072	0.619	0.048
General	−0.204	0.093	0.028	−0.275*	−0.204	0.093	0.028	−0.275*
Cellphone game	0.005	0.091	0.953	0.007	0.005	0.091	0.954	0.007
SNS	−0.065	0.075	0.385	−0.088	−0.065	0.075	0.385	−0.088
Other	0.035	0.095	0.713	0.047	0.140	0.097	0.148	0.189
Testing DIF
female →IAT13					−0.358	0.067	0.000	−0.340**
time spent online →IAT2					−0.058	0.010	0.000	−0.160**
time spent online →IAT8					−0.054	0.011	0.000	−0.146**
time spent online → IAT12					0.039	0.011	0.000	0.103**
SNS → IAT12					0.333	0.077	0.000	0.309**
SNS → IAT19					−0.370	0.085	0.000	− 0.353**
Other → IAT4					−0.444	0.112	0.000	−0.434 **

B unstandardized estimate, S.E. standard error, β standardized estimate. *p < 0.05, **p < 0.01

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ISSN: 1471-2458

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