Hierarchical regression with Nano Risk Index as dependent variable.

*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.