Table 6 Logistic regression model –... | Emerald Publishing

Table 6

Logistic regression model – Model 2 (and Model 3)

Model 2	Estimated reg. Par	Estimated odds ratio	Std. Error	z-value	Pr (>\|z\|)
(Intercept)	−0.3782		0.9615	−0.393	0.694
C (conspicuous)	1.8758		1.4427	1.300	0.194
self_mon	0.2456	1.2784	0.1996	1.230	0.219
C:self_mon	−0.3567		0.2925	−1.220	0.223

Model 2	Estimated reg. Par	Estimated odds ratio	Std. Error	z-value	Pr (>\|z\|)
(Intercept)	−0.3782		0.9615	−0.393	0.694
C (conspicuous)	1.8758		1.4427	1.300	0.194
self_mon	0.2456	1.2784	0.1996	1.230	0.219
C:self_mon	−0.3567		0.2925	−1.220	0.223

Model 2, Model 3	Estimated reg. Par.	Estimated odds ratio	95% confidence interval (lower and upper limits)
Model 2, Model 3	Estimated reg. Par.	Estimated odds ratio	Estimated reg. Par.		Estimated odds ratio
	Inconspicuous group (Model 2)
Self-monitoring	0.2456	1.2784	−0.1434	0.6466	0.8664	1.9091
	Conspicuous group (Model 2 and Model 3)
Self-monitoring	−0.1111	0.8948	−0.5423	0.3039	0.5814	1.3551

Model 2, Model 3	Estimated reg. Par.	Estimated odds ratio	95% confidence interval (lower and upper limits)
Model 2, Model 3	Estimated reg. Par.	Estimated odds ratio	Estimated reg. Par.		Estimated odds ratio
	Inconspicuous group (Model 2)
Self-monitoring	0.2456	1.2784	−0.1434	0.6466	0.8664	1.9091
	Conspicuous group (Model 2 and Model 3)
Self-monitoring	−0.1111	0.8948	−0.5423	0.3039	0.5814	1.3551

Source(s): Authors’ own work