Table 6 Summary of GLM Mediation models... | Emerald Publishing

Table 6

Summary of GLM Mediation models tested

Independent variable	Dependent variable	Total effect	p value	95% IC	Indirect effect (95% IC)
Professional field: IV1a Computer science	DVa = Lecture	0.0111	0.922	−0.211; 0.233
	DVb = Situated learning	−0.2623	0.031	−0.500; −0.024	Face-to-face: −0.1525, p = 0.05 (−0.305; 0.001)
	DVc = Autonomous learning	−0.0202	0.877	−0.277; 0.089
	DVd = Active learning	−0.0529	0.590	−0.245; 0.139
Professional field: IV1b Health	DVa = Lecture	0.2907	0.013	0.061; 0.521	Face-to-face: 0.1472, p = 0.007 (0.034; 0.255)
	DVb = Situated learning	0.3189	0.011	0.072; 0.566	Face-to-face: 0.1719, p = 0.032 (0.014; 0.329) Remotely: −0.0681, p = 0.013 (−0.122; −0.014)
	DVc = Autonomous learning	0.4200	0.002	0.153; 0.687	Face-to-face: 0.263; p < 0.001 (0.121; 0.404)
	DVd = Active learning	0.1910	0.062	−0.009; 0.392
Internship: IV2a Dual	DVa = Lecture	−0.0489	0.494	−0.026; 0.125
	DVb = Situated learning	0.2156	0.069	−0.017; 0.448
	DVc = Autonomous learning	0.0283	0.825	−0.222; 0.279
	DVd = Active learning	0.1262	0.196	−0.065; 0.317
Internship: IV2b FCT	DVa = Lecture	0.1357	0.171	−0.059; 0.329
	DVb = Situated learning	−0.0292	0.781	−0.235; 0.177
	DVc = Autonomous learning	0.2125	0.058	−0.007; 0.432
	DVd = Active learning	0.1149	0.179	−0.053; 0.283

Independent variable	Dependent variable	Total effect	p value	95% IC	Indirect effect (95% IC)
Professional field: IV1a Computer science	DVa = Lecture	0.0111	0.922	−0.211; 0.233
	DVb = Situated learning	−0.2623	0.031	−0.500; −0.024	Face-to-face: −0.1525, p = 0.05 (−0.305; 0.001)
	DVc = Autonomous learning	−0.0202	0.877	−0.277; 0.089
	DVd = Active learning	−0.0529	0.590	−0.245; 0.139
Professional field: IV1b Health	DVa = Lecture	0.2907	0.013	0.061; 0.521	Face-to-face: 0.1472, p = 0.007 (0.034; 0.255)
	DVb = Situated learning	0.3189	0.011	0.072; 0.566	Face-to-face: 0.1719, p = 0.032 (0.014; 0.329)Remotely: −0.0681, p = 0.013 (−0.122; −0.014)
	DVc = Autonomous learning	0.4200	0.002	0.153; 0.687	Face-to-face: 0.263; p < 0.001 (0.121; 0.404)
	DVd = Active learning	0.1910	0.062	−0.009; 0.392
Internship: IV2a Dual	DVa = Lecture	−0.0489	0.494	−0.026; 0.125
	DVb = Situated learning	0.2156	0.069	−0.017; 0.448
	DVc = Autonomous learning	0.0283	0.825	−0.222; 0.279
	DVd = Active learning	0.1262	0.196	−0.065; 0.317
Internship: IV2b FCT	DVa = Lecture	0.1357	0.171	−0.059; 0.329
	DVb = Situated learning	−0.0292	0.781	−0.235; 0.177
	DVc = Autonomous learning	0.2125	0.058	−0.007; 0.432
	DVd = Active learning	0.1149	0.179	−0.053; 0.283

Source(s): Authors' own data