| Literature DB >> 34886854 |
Marina Budić1, Marko Galjak2, Vojin Rakić3.
Abstract
The paper represents an empirical study of public attitudes towards moral bioenhancement. Moral bioenhancement implies the improvement of moral dispositions, i.e. an increase in the moral value of the actions or character of a moral agent. The views of bioethicists and scientists on this topic are present in the ongoing debate, but not the view of the public in general. In order to bridge the gap between the philosophical debate and the view of the public, we have examined attitudes towards moral bioenhancement. The participants were people from Serbia older than 15, who voluntarily completed an online questionnaire. The questionnaire consisted of a brief introduction to moral bioenhancement, seven general questions, 25 statements about participants' attitudes towards moral bioenhancement, and five examples of moral dilemmas. The questionnaire also included questions which were used to reveal their preference of either deontology, or utilitarianism. Participants were asked to what degree they agree or disagree with the statements. The results showed that the means used to achieve moral enhancement, the level of education, and preference for deontology or utilitarianism do have an impact on public attitudes. Using exploratory factor analysis, we isolated four factors that appear to drive the respondents' attitudes toward moral bioenhancement, we named: general-closeness, fear of change, security, and voluntariness. Each factor in relationship to other variables offers new insights that can inform policies and give us a deeper understanding of the public attitudes. We argue that looking into different facets of attitudes towards moral bioenhancement improves the debate, and expands it.Entities:
Keywords: Bioethics; Deontology; Enhancement; Ethics; Public attitudes; Utilitarianism
Mesh:
Year: 2021 PMID: 34886854 PMCID: PMC8656088 DOI: 10.1186/s12910-021-00732-1
Source DB: PubMed Journal: BMC Med Ethics ISSN: 1472-6939 Impact factor: 2.652
Internal consistency and reliability of the composite variables
| Composite variable | Number of questions | Cronbach’s α | Guttman's 6 λ | Signal/Noise |
|---|---|---|---|---|
| Pharmacological means score | 7 | 0.91 | 0.93 | 10 |
| Non-pharmacological means score | 7 | 0.93 | 0.94 | 13 |
| Total MBE Support score | 29 | 0.84 | 0.93 | 5.3 |
| Utilitarianism Score | 5 | 0.36 | 0.36 | 0.48 |
Sociodemographic characteristics of the participants (N = 337)
| N | % | |
|---|---|---|
| Sex | ||
| Male | 102 | 30.27 |
| Female | 235 | 69.73 |
| Age | ||
| < 25 | 58 | 17.21 |
| 25–29 | 78 | 23.15 |
| 30–34 | 70 | 20.77 |
| 35 + | 131 | 39.87 |
| Education | ||
| No degree | 110 | 32.64 |
| Bachelor's degree | 101 | 29.97 |
| Advanced degree | 126 | 37.39 |
| Dwelling | ||
| Rural | 43 | 12.76 |
| Urban | 294 | 87.24 |
Fig. 1Four-factor model
Model summary (all items)
| Number | Cumulative variance (%) | TLI | CFI | RMSEA | |
|---|---|---|---|---|---|
| 1 | 42 | 2,594.22 (405) | 0.892 | 0.899 | 0.127 [0.122, 0.132] |
| 2 | 49 | 1,794.04 (376) | 0.924 | 0.934 | 0.106 [0.101, 0.111] |
| 3 | 54 | 1,417.14 (348) | 0.938 | 0.951 | 0.095 [0.09, 0.101] |
| 5 | 60 | 832.41 (295) | 0.963 | 0.975 | 0.073 [0.068,0.08] |
| 6 | 62 | 695.62 (270) | 0.968 | 0.980 | 0.068 [0.062, 0.075] |
The selected model is bold
TLI, Tucker–Lewis index; CFI, comparative fit index; RMSEA, root mean square error of approximation
Extracted factors of the four-factor model by the percentage of variance they explain
| Factor | Name | Variance (%) | Cumulative variance (%) | Cumulative factor variance (%) |
|---|---|---|---|---|
| 1 | General—closeness | 29 | 29 | 50 |
| 2 | Fear of change | 16 | 45 | 77 |
| 3 | Mandatory security | 8 | 52 | 90 |
| 4 | Voluntariness | 6 | 58 | 100 |
Odds ratios for extracted factors by selected variables
| Factor 1 | Factor 2 | Factor 3 | Factor 4 | |
|---|---|---|---|---|
| Age | ||||
| < 25 | 1 | 1 | 1 | 1 |
| 25–29 | 0.54 [0.27, 1.07] | 0.61 [0.30, 1.21] | 1.41 [0.71, 2.81] | |
| 30–34 | 0.62 [0.30, 1.26] | 0.67 [0.33, 1.35] | 0.68 [0.33, 1.67] | 1.15 [ 0.57, 2.32] |
| 35 + | 0.63 [0.33, 1.18] | 0.68 [0.36, 1.26] | 1.05 [0.56, 1.96] | 1.06 [0.57, 1.99] |
| Male | 0.95 [0.60, 1.52] | 1.13 [0.71, 1.80] | 1.19 [0.75, 1.91] | |
| Education | ||||
| No degree | 1 | 1 | 1 | 1 |
| Bachelor's degree | 0.69 [0.40, 1.19] | 0.89 [0.52, 1.54] | 1.45 [0.84, 2.51] | |
| Advanced degree | 1.09 [0.65,1.82] | 0.89 [0.53, 1.49] | ||
| Familiar with the concept of moral bioenhancement | 0.90 [0.55, 1.45] | 0.94 [0.59,1.54] | 1.14 [0.70, 1.84] | |
| Utilitarian reasoning | 1.01 [0.66, 1.55] |
Odds ratios were calculated for being above the median value of the factor score. 95% CI is in the brackets
Odds ratios with significant p-values are bold
*p < 0.05; **p < 0.01; ***p < 0.001
Fig. 2Support for moral enhancement based on the means of achieving it. ♦, mean value for each distribution
Fig. 3Support for moral bioenhancement among the people who said they were familiar with the concept and those who said they were not. ♦, mean value for each distribution
Fig. 4Support for moral bioenhancement based on education. ♦, mean value for each distribution
Fig. 5Support for moral bioenhancement based on preference for either deontology or utilitarianism. ♦, mean value for each distribution