| Literature DB >> 33259533 |
Élise Désilets1, Benoit Brisson1, Sébastien Hétu2.
Abstract
Human behavior is framed by several social structures. In the present study, we focus on two of the most important determinants of social structures: social norms and political orientation. Social norms are implicit models of shared expectations about how people should behave in different social contexts. Although humans are very sensitive to violations in social norms, there are important individual differences in our sensitivity to these violations. The second concept this study focuses on is political orientation that is define by a continuum from left (liberal) to right (conservative). Individual political orientation has been found to be related to various individual traits, such as cognitive style or sensitivity to negative stimuli. Here, we propose to study the relation between sensitivity to social norm violation and political orientation. Participants completed a task presenting scenarios with different degrees of social norm violation and a questionnaire to measure their political opinions on economic and identity issues. Using hierarchical regressions, we show that individual differences in sensitivity to social norm violation are partly explained by political orientation, and more precisely by the identity axis. The more individuals have right-oriented political opinions, the more they are sensitive to social norm violation, even when multiple demographics variables are considered. Our results suggest that political orientation, especially according to identity issues, is a significant factor of individual differences in social norm processing.Entities:
Year: 2020 PMID: 33259533 PMCID: PMC7707570 DOI: 10.1371/journal.pone.0242996
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Descriptive statistics.
| Place of birth | Education level (years) | Occupation | Living environment | |||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Quebec | Other | min | max | mean | sd | Student | Employed | Other | Urban | Rural |
| 177 | 22 | 11 | 30 | 16.82 | 2.91 | 175 | 21 | 3 | 152 | 47 |
Scenarios example.
5 behaviors with their 3 associate conditions and the French translation.
| Appropriate | Strongly inappropriate | Weakly inappropriate | Behavior |
|---|---|---|---|
| Jacob in the bike | Jacob is on the Highway. | Jacob is on the city sidewalk. | Cycling |
| lane. | |||
| Amanda is at a Tango lesson. | Amanda is at the art museum. | Amanda is on a subway platform. | Dancing |
| Thomas is at a bar. | Thomas is at the doctor's office. | Thomas is at the post office. | Flirting |
| Emma is at a wedding. | Emma is at the Doctor’s office. | Emma is on a bus. | Kissing |
| Chris is at the church. | Chris is at the symphony. | Chris is in the public park. | Praying |
Fig 1Example of a trial in the social norm violation task’s.
Descriptive statistics.
| Mean | Median | SD | Min | Max | |
|---|---|---|---|---|---|
| General political orientation | 2.34 | 2.38 | 0.61 | 1.00 | 3.75 |
| Socioeconomic axis | 2.25 | 2.25 | 0.80 | 1.00 | 4.25 |
| Identity axis | 2.52 | 2.50 | 0.69 | 1.00 | 4.25 |
| Percentage of scenarios rated as strongly inappropriate | 40.69 | 39.39 | 18.63 | 0.00 | 84.85 |
Correlations between political orientation scores and sensitivity to social norm violations.
| Percentage of scenarios rated as strongly inappropriate | General political orientation | Socioeconomic axis | Identity axis | |
|---|---|---|---|---|
| Percentage of scenarios rated as strongly inappropriate | --- | 0.18 | 0.15 | 0.19 |
| General political orientation | --- | 0.78 | 0.85 | |
| Socioeconomic axis | --- | 0.39 | ||
| Identity axis | --- |
*p < 0,05
**p < 0.01
***p < 0.001.
Coefficients of hierarchical regression analysis for variables predicting sensitivity to social norm violation with general political orientation (n = 199).
| 95% CI | |||||||
|---|---|---|---|---|---|---|---|
| Model | Unstandardized β | Standard Error | Standardized β | T | Lower | Upper | |
| H₀ | (Intercept) | 39.48 | 8.59 | 4.60 | 22.55 | 56.42 | |
| Gender | 1.58 | 0.72 | 0.15 | 2.20 | 0.17 | 3.00 | |
| Education level | -0.84 | 0.44 | -0.13 | -1.92 | -1.71 | 0.02 | |
| Order | 3.66 | 1.12 | 0.22 | 3.27 | 1.45 | 5.86 | |
| H₁ | (Intercept) | 25.62 | 9.53 | 2.69 | 6.81 | 44.42 | |
| Gender | 1.75 | 0.71 | 0.17 | 2.48 | 0.35 | 3.14 | |
| Education level | -0.95 | 0.43 | -0.15 | -2.21 | -1.81 | -0.10 | |
| Order | 3.73 | 1.09 | 0.23 | 3.41 | 1.57 | 5.89 | |
| Global political orientation | 6.38 | 2.07 | 0.21 | 3.08 | 2.30 | 10.46 | |
*p < 0,05
**p < 0.01
***p < 0.001.
Multicollinearity was respected as indicated by a variance inflation factors (VIFs) all near to the recommended value of 1 (min: 1.00, max: 1.01). Autocorrelation in the residuals was also respected as expressed by a value of 1.95 for the Durbin-Watson test. The residuals’ mean is 0 and residuals present no problematic value (all value has a cook’s distance <1).
Coefficients of hierarchical regression analysis for variables predicting sensitivity to social norm violation with identity and socioeconomic axes (n = 199).
| 95% CI | |||||||
|---|---|---|---|---|---|---|---|
| Model | Unstandardized β | Standard Error | Standardized β | T | Lower | Upper | |
| H₀ | (Intercept) | 30.27 | 9.00 | 3.37 | 12.53 | 48.01 | |
| Gender | 1.77 | 0.71 | 0.17 | 2.50 | 0.37 | 3.16 | |
| Education level | -0.99 | 0.43 | -0.15 | -2.28 | -1.85 | -0.13 | |
| Order | 3.89 | 1.10 | 0.24 | 3.54 | 1.72 | 6.06 | |
| Socioeconomic axis | 4.62 | 1.58 | 0.20 | 2.92 | 1.50 | 7.74 | |
| H₁ | (Intercept) | 23.32 | 9.57 | 2.44 | 4.45 | 42.19 | |
| Gender | 1.82 | 0.70 | 0.17 | 2.59 | 0.43 | 3.21 | |
| Education level | -0.98 | 0.43 | -0.15 | -2.29 | -1.83 | -0.14 | |
| Order | 3.78 | 1.09 | 0.23 | 3.46 | 1.62 | 5.94 | |
| Socioeconomic axis | 3.29 | 1.70 | 0.14 | 1.93 | -0.07 | 6.65 | |
| Identity axis | 3.94 | 1.95 | 0.15 | 2.01 | 0.09 | 7.79 | |
*p < 0,05
**p < 0.01
***p < 0.001.
Multicollinearity was respected as indicated by a variance inflation factors (VIFs) all near to the recommended value of 1 (min: 1.01, max: 1.21). Autocorrelation in the residuals was also respected as expressed by a value of 1.89 for the Durbin-Watson test. The residuals’ mean is 0 and residuals present no problematic value (all value has a cook’s distance <1).