Table 10 Chi-square test p values between sociodemographic ordinal variables (Appendix A: Table 4) and opinion nominal variables (Appendix A: Table 7)
Sociodemographic ordinal variables | Opinion nominal variables | p value | Cramer’s V |
|---|---|---|---|
Age | Personal attitude as final consumer | ||
Opinion about being final consumer of GE algae biofuel | 0.422 | ||
Willingness to pay more money if higher engine performances were achieved compared to established biofuels | 0.512 | ||
Willingness to pay more money if environmental advantages were achieved compared to fossil fuels | 0.724 | ||
Suggestions to improve general social acceptance | |||
Regulations before any genome engineered species is implemented | 0.152 | ||
Higher or same economic benefits than using fossil fuels | 0.985 | ||
Clear evidence of benefits use of genetic markers | 0.771 | ||
Clear communication of risks and benefits of genome engineering technologies | 0.372 | ||
Rigorous risk assessments of GM algae, involving scientists with minimal conflicts of interest, independent peer review, and public participation | 0.485 | ||
Closed production systems with high security standards | 0.041 | 0.221 | |
Use of genetic markers | 0.914 | ||
Minor survivability compared to natural strains | 0.945 | ||
Use of new precise gene editing tools instead of traditional genome engineering | 0.044 | 0.220 | |
Regulations before any genome engineered species is implemented | 0.180 | ||
Educational level | Personal attitude as final consumer | ||
Opinion about being final consumer of GE algae biofuel | 0.037 | 0.251 | |
Willingness to pay more money if higher engine performances were achieved compared to established biofuels | 0.580 | ||
Willingness to pay more money if environmental advantages were achieved compared to fossil fuels | 0.651 | ||
Suggestions to improve general social acceptance | |||
Regulations before any genome engineered species is implemented | 0.565 | ||
Higher or same economic benefits than using fossil fuels | 0.188 | ||
Clear evidence of benefits use of genetic markers | 0.325 | ||
Clear communication of risks and benefits of genome engineering technologies | 0.004 | 0.346 | |
Rigorous risk assessments of GM algae, involving scientists with minimal conflicts of interest, independent peer review, and public participation | 0.662 | ||
Closed production systems with high security standards | 0.467 | ||
Use of genetic markers | 0.915 | ||
Minor survivability compared to natural strains | 0.045 | ||
Use of new precise gene editing tools instead of traditional genome engineering | 0.855 | ||
Regulations before any genome engineered species is implemented | 0.184 | ||
Experience in algae industry | Personal attitude as final consumer | ||
Opinion about being final consumer of GE algae biofuel | 0.024 | 0.236 | |
Willingness to pay more money if higher engine performances were achieved compared to established biofuels | 0.078 | – | |
Willingness to pay more money if environmental advantages were achieved compared to fossil fuels | 0.458 | – | |
Suggestions to improve general social acceptance | |||
Regulations before any genome engineered species is implemented | 0.912 | ||
Higher or same economic benefits than using fossil fuels | 0.988 | ||
Clear evidence of benefits use of genetic markers | 0.339 | ||
Clear communication of risks and benefits of genome engineering technologies | 0.822 | ||
Rigorous risk assessments of GM algae, involving scientists with minimal conflicts of interest, independent peer review, and public participation | 0.562 | ||
Closed production systems with high security standards | 0.412 | ||
Use of genetic markers | 0.672 | ||
Minor survivability compared to natural strains | 0.734 | ||
Use of new precise gene editing tools instead of traditional genome engineering | 0.353 | ||
Regulations before any genome engineered species is implemented | 0.749 | ||