Table 7.

Regression results predicting neuromyths (i.e., % of items incorrect from neuromyths factor) in the full sample (N = 3,877).

	Multiple regression			Poisson regression
	B (SE)	Beta*	p-value	B (SE)	p-value
Age	0.013 (0.002)	0.128	<0.001	0.003 (0.0005)	<0.001
Gendera	−0.300 (0.055)	−0.084	<0.001	−0.066 (0.016)	<0.001
Some collegeb	0.124 (0.068)	0.033	0.068	0.025 (0.019)	0.200
Graduate school	−0.615 (0.067)	−0.174	<0.001	−0.137 (0.020)	<0.001
1 neuroscience coursec	−0.182 (0.071)	−0.041	0.010	−0.038 (0.021)	0.064
A few neuroscience courses	−0.260 (0.073)	−0.057	<0.001	−0.056 (0.021)	0.009
Many neuroscience courses	−1.022 (0.108)	−0.154	<0.001	−0.278 (0.037)	<0.001
Career websitesd	−0.154 (0.061)	−0.043	0.011	−0.034 (0.018)	0.058
Career magazines	−0.042 (0.070)	−0.010	0.553	−0.010 (0.021)	0.642
Popular science magazines	−0.228 (0.060)	−0.059	<0.001	−0.051 (0.018)	0.004
Peer-reviewed science journals	−0.594 (0.073)	−0.136	<0.001	−0.148 (0.023)	<0.001
Adjusted R2		0.141
p-value		<0.001

^*Beta refers to the standardized beta estimate.

^aReference = female.

^bReference = college degree.

^cReference = no neuroscience courses.

^dReference = no career-related media exposure.