. 2021 Mar 4;24(3):983–1007. doi: 10.1007/s10796-021-10117-9

Table 6.

Hierarchical Regression Analysis Predicting Service Continuance Intentions (Trust as a Direct Cause on Three Alternative Models 1.1 ~ 1.3)

Variables	Baseline	Model 1.1	Model 1.2	Model 1.3
Control variables
Age	−0.009	0.052	0.052	−0.009
Gender	0.018	0.056	0.057	0.016
Education	0.048	0.039	0.039	0.058
Income	0.061	0.053	0.053	0.077^**
Use experience	0.094^**	0.114^**	0.116^**	0.102^**
Use frequency	0.118^***	0.139^***	0.140^***	0.085^**
General perception	0.002	0.037	0.036	−0.049
Perceived benefits	0.464^***	0.434^***	0.418^***	0.333^***
Perceived validity	0.341^***	0.341^***	0.341^***	0.341^***
Patient centeredness	0.232^***	0.232^***	0.232^***	0.232^***
Perceived risks	−0.218^***	−0.188^***	−0.171^***	−0.126^***
Privacy risk	0.248^***	0.248^***	0.248^***	0.248^***
Performance risk	0.518^***	0.518^***	0.518^***	0.518^***
Technological trust		0.513^**
Reliability		0.443^***
Functionality		0.314^***
Helpfulness		0.417^**
Interpersonal trust		0.559^**
Competence		0.349^***
Benevolence		0.381^***
Integrity		0.434^***
Trust in OMC			0.318^***	0.150^**
R²	0.453	0.463	0.505	0.463
Adjusted R²		0.007	0.052	0.010
ΔR² against base		0.013	0.105	0.019
Effect size ^a		small	medium	small

^*p < 0.05; ^** p < 0.01; ^*** p < 0.001

Note .^a The difference in R² is used to assess the overall effect size f² for the interaction where .02, 0.15, and 0.35 have been suggested to be considered as small, moderate, and large effects, respectively (Cohen 1988)