Journal of Big Data

Table 2 Estimated regression coefficients and variance components for empty model (Model 1)

From: Bayesian hierarchical analyses for entrepreneurial intention of students

	(a) Using classical approach				(b) Using Bayesian approach
	Coef. (Std. err.)	P > \|z\|	95% Coef. Interval	Length	Mean (Std. dev.)	MCSE	Median	95% Cred. Interval	Length
Fixed effect
Intercept	0.3295 (0.1208)	0.006	[0.0927, 0.5663]	0.4736	0.3271 (0.1148)	0.0205	0.3269	[0.1021, 0.5521]	0.4500
Random effect
Var (intercept)	0.2929 (0.1010)		[0.0949, 0.4909]	0.3960	0.2809 (0.0975)	0.0096	0.2801	[0.0898, 0.4720]	0.3822

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