Hierarchical regression with Nano Risk Index as dependent variable.
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*p<.05.
**p<.01.
***p<.001.
Notes: N = 404. Independent variables were entered in six steps, where I through VI indicate model steps, and cell entries are standardized (β) regression coefficients.
aPaired dummy variables, where ‘NSE’ is coded as DNEHS = 0, DNREG = 0, ‘NEHS’ is coded as DNEHS = 1, DNREG = 0, and ‘NREG’ is coded as DNEHS = 0, DNREG = 1.
b1 = female, 0 = male.
c1 = PhD, 0 = Bachelors/Masters.
dStandardized continuous variable.
e1 = physical sciences, 0 = other, where ‘physical sciences’ includes chemistry, physics, materials science, chemical engineering, electrical engineering, and mechanical engineering.
fPaired dummy variables, where ‘academic vs government’ is coded as academic = 0, government = 1, and ‘academic vs other’ is coded as academic = 0, other = 1.
g–kContinuous index variables, described above.
Hierarchical regression with Nano Risk Index as dependent variable.
创建时间：
2014-09-15
