The colours of the Higgs boson: a study in creativity and science motivation among high-school students in Italy

Smart Learning Environments

Table 4 Multiple regression models for the relationships between the creativity subscales, self-efficacy and career motivation

	β	B	SE	95% CI	p value
Model 1: SE as dependent variable
Age	− 0.12	− 0.15	0.10	− 0.32, 0.02	0.077
Gender (female)	− 0.18	− 0.32	0.13	− .055, − 0.09	0.006
C_ACT	0.38	0.63	0.13	0.37, 0.89	< 0.001
C_FLOW	0.13	0.18	0.11	− .034, 0.40	0.098
R²_adj = 0.27, F = 17.29, p < .001
Model 2: CM as dependent variable
Age	− 0.01	− 0.01	0.07	− 0.14, 0.14	0.980
Gender (female)	0.03	0.05	0.10	− 0.14, 0.24	0.610
C_ACT	0.18	0.31	0.12	0.09, 0.54	0.007
C_FLOW	− 0.01	− 0.01	0.09	− 0.18, 0.17	0.969
SE	0.66	0.70	0.06	0.57, 0.82	< 0.001
R²_adj = 0.56, F = 45.52, p < .001

N = 175. B = unstandardised coefficient; β = standardised coefficient; SE = standard error; CI = confidence interval; R²_adj = adjusted R². C_ACT = creativity subscale act; C_FLOW = creativity subscale flow; CM = career motivation; SE = self-efficacy