| Literature DB >> 35231046 |
Agnieszka Turska-Kawa1, Irena Pilch2.
Abstract
We investigated the relationships between political beliefs regarding two aspects of the right-left distinction (cultural and economic) and the acceptance of the pandemic restrictions using variable-centred and person-centred approaches. The community sample consisted of 305 participants. Four groups of the restrictions were considered. Religious fundamentalism predicted positively the acceptance of the restrictions associated with the limitations of labour rights and those limiting civil rights without a direct impact on safety. Anti-welfare negatively predicted the acceptance of the restrictions regarding social distancing and those limiting civil rights and increasing safety. These associations were discussed in relation to basic needs and values which motivate persons who endorse right-wing or left-wing political views. The latent profile analysis revealed three profiles of political beliefs, which were termed "Conservative Statists," "Liberal Laissez-fairists," and "Conservative Laissez-fairists." The profiles differed in terms of acceptance of the pandemic restrictions, and the patterns of these relationships were different for particular groups of restrictions.Entities:
Mesh:
Year: 2022 PMID: 35231046 PMCID: PMC8887724 DOI: 10.1371/journal.pone.0264502
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Factor loadings and communalities of the items measuring the acceptance of the pandemic-related restrictions.
| Items | Communalities | FACTORS | |||
|---|---|---|---|---|---|
| F1 | F2 | F3 | F4 | ||
| Suspension of classes in kindergartens, schools and colleges | 0.661 |
| 0.020 | .046 | 0.039 |
| Closing of shopping malls and furniture stores | 0.681 |
| -0.051 | .164 | -0.017 |
| Suspension of sports competitions and cultural events | 0.614 |
| 0.095 | -.008 | -0.022 |
| Limiting the number of participants in a mass/service in churches | 0.453 |
| 0.000 | -.205 | 0.042 |
| Closing of services such as hairdresser and hotels | 0.664 |
| -0.069 | .226 | -0.108 |
| Limitations on the number of customers in stores. pharmacies. post offices, etc. | 0.623 |
| 0.009 | -.076 | -0.155 |
| Prohibition of movement (except for professional duties and basic needs) | 0.568 |
| -0.077 | .236 | -0.204 |
| Obligation to wear masks in the public places | 0.431 |
| 0.063 | .089 | -0.139 |
| Prohibition of visiting patients in hospitals, people in nursing homes, etc. | 0.422 |
| 0.095 | -0.115 | -0.235 |
| Mandatory isolation for people infected with coronavirus | 0.301 | 0.295 | 0.140 | -0.183 | -0.203 |
| High financial penalties for healthcare professionals for failing to perform forced labor | 0.467 | -0.040 |
| 0.068 | -0.015 |
| Work duty to combat epidemics for healthcare professionals | 0.454 | -0.036 |
| -0.087 | -0.097 |
| Forced work in some workplaces (no employer’s consent to sick leave, leave days off, etc.) | 0.320 | 0.070 |
| 0.184 | 0.058 |
| Control of content of parcels, letters and content of conversations. e-mails | 0.253 | 0.152 | 0.186 |
| 0.070 |
| Restriction of access to public information guaranteed by law | 0.239 | -0.083 | 0.053 |
| -0.225 |
| Seizing a car or a flat in connection with the need to fight a pandemic | 0.303 | 0.051 | 0.222 |
| -0.146 |
| Prohibition of organizing assemblies, protests and employee strikes | 0.501 | 0.155 | -0.083 | 0.093 |
|
| Controlling and tracking people in quarantine, e.g. via mobile applications | 0.411 | -0.018 | 0.176 | 0.002 |
|
| Suspension of associations, political parties and trade unions | 0.350 | -0.028 | 0.011 | 0.102 |
|
| High financial penalties for non-compliance with bans and orders | 0.570 | 0.214 | 0.132 | -0.019 |
|
| Mandatory quarantine / prohibition of leaving the apartment for people coming from abroad or after contact with an infected person | 0.501 | 0.246 | 0.020 | -0.133 |
|
| Closure of state borders | 0.494 | 0.256 | -0.010 | 0.038 |
|
| Providing personal data of people in mandatory quarantine, e.g. to the Police, Social Security Institution, Post Office | 0.386 | 0.032 | 0.228 | 0.023 |
|
| Prohibition on raising prices of goods and services | 0.244 | 0.197 | -0.045 | 0.006 | -0.264 |
| Salary reduction in part of suspended plants| | 0.142 | - | - | - | - |
Note. Extraction method: Principal axis factoring. Rotation method: Oblimin with Kaiser normalization. (F1) restrictions regarding social distancing and isolation, (F2) restrictions associated with the limitations of labour rights, (F3) restrictions limiting civil rights without a direct impact on safety, (F4) restrictions limiting civil rights and increasing safety.
The differences in the acceptance of the four groups of the restrictions between the groups of participants distinguished on the basis of sex, relationship status, education level and employment (N = 305).
| Variables | F1 | F2 | F3 | F4 | ||||
|---|---|---|---|---|---|---|---|---|
| Statistics | p | Statistics | p | Statistics | p | Statistics | P | |
| Sex (women vs. men) | 11665.5 | 0.272 | 13615.5 | 0.205 | 12465.0 | 0.888 | 10997.5 | 0.057 |
| Relationship (single vs. in relationship) | 12979.0 | 0.714 | 11715.0 | 0.245 | 12227.5 | 0.561 | 13010.5 | 0.686 |
| Education level | 1.55 | 0.461 | 0.71 | 0.703 | 2.44 | 0.296 | 3.30 | 0.192 |
| Employment status | 5.34 | 0.254 | 7.24 | 0.124 | 4.54 | 0.338 | 4.43 | 0.351 |
Note. Test used:
1Mann-Whitney U,
2Kruskall-Wallis H.
(F1) restrictions regarding social distancing and isolation, (F2) restrictions associated with the limitations of labour rights, (F3) restrictions limiting civil rights without a direct impact on safety, (F4) restrictions limiting civil rights and increasing safety.
Descriptive statistics and correlations between study variables (N = 305).
| Variables |
|
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 Restrictions regarding social distancing | 67.31 | 25.3 | - | |||||||
| 2 Restrictions associated with labour rights limitations | 25.73 | 23.6 | 0.261 | - | ||||||
| 3 Restrictions limiting civil rights without direct impact on safety | 9.01 | 14.9 | 0.313 | 0.437 | - | |||||
| 4 Restrictions limiting civil rights and increasing safety | 54.26 | 25.8 | 0.743 | 0.431 | 0.403 | - | ||||
| 5 Religious fundamentalism | 2.18 | 1.1 | -0.49 | 0.206 | 0.229 | 0.127 | - | |||
| 6 Xenophobia | 2.18 | 1.1 | -0.106 | 0.054 | 0.216 | 0.125 | 0.549 | - | ||
| 7 Acceptance of capitalism | 2.56 | 0.8 | -0.106 | -0.021 | -0.131 | -0.053 | 0.010 | -0.068 | - | |
| 8 Anti-welfare | 3.03 | 0.8 | -0.160 | 0.050 | -0.178 | -0.151 | -0.115 | -0.312 | 0.456 | - |
| 9 Age | 35.36 | 12.7 | 0.024 | -0.026 | 0.101 | -0.070 | -0.023 | -0.029 | -0.161 | -0.073 |
*p < .05;
**p < .01 (two-tailed).
Regression analysis predicting the acceptance of pandemic restrictions from political beliefs (N = 305).
| Predictors | Coefficients | 95% CI | Significance |
|---|---|---|---|
| Outcome variable: F1—acceptance of pandemic restrictions. | |||
|
| |||
| Xenophobia | -4.00 | -8.55, 0.53 | 0.084 |
| Religious fundamentalism | -0.73 | -5.08, 3.61 | 0.740 |
| Acceptance of capitalism | 0.04 | -4.04, 4.13 | 0.984 |
| Anti-welfare | -6.37 | -10.66, -2.07 | 0.004 |
| MAE = 19.20, pseudo R square = .032 | |||
| Outcome variable: F2—acceptance of pandemic restrictions. | |||
|
| |||
| Xenophobia | -3.25 | -8.36, 1.86 | 0.212 |
| Religious fundamentalism | 6.67 | 1.79, 11.56 | 0.008 |
| Acceptance of capitalism | -1.56 | -6.16, 3.03 | 0.504 |
| Anti-welfare | 2.32 | -2.51, 7.14 | 0.346 |
| MAE = 18.58, pseudo R square = .022 | |||
| Outcome variable: F3—acceptance of pandemic restrictions. | |||
|
| |||
| Xenophobia | 0.43 | -1.05, 1.94 | 0.568 |
| Religious fundamentalism | 1.52 | 0.10, .2.94 | 0.036 |
| Acceptance of capitalism | 0.01 | -1.33, 1.34 | 0.995 |
| Anti-welfare | -0.48 | -1.88, 0.92 | 0.503 |
| MAE = 8.96, pseudo R square = .020 | |||
| Outcome variable: F4—acceptance of pandemic restrictions. | |||
|
| |||
| Xenophobia | 2.23 | -2.22, 6.68 | 0.324 |
| Religious fundamentalism | 1.67 | -2.58, 5.93 | 0.439 |
| Acceptance of capitalism | 3.38 | -0.62, 7.38 | 0.098 |
| Anti-welfare | -6.60 | -10.80, -2.39 | 0.002 |
| MAE = 20.32, pseudo R square = .034 | |||
Note. Method: Simplex algorithm. MAE—Mean Absolute Error.
Model fit and entropy statistics for 1 to 5 profiles solutions (N = 305).
| Solution | AICc | ΔAICc | BIC | ΔBIC | Number of members | Entropy |
|---|---|---|---|---|---|---|
| One-profile | 3492.86 | 106.78 | 3483.86 | 110.78 | 305 (100%) | – |
| Two-profile | 3386.08 | 0 | 3373.08 | 0 | 96 (32.5%) | 0.855 |
| Three-profile | 3393.72 | 7.64 | 3375.72 | 2.64 | 50 (16.4%) | 0.801 |
| Four-profile | 3388.35 | 2.27 | 3375.35 | 2.27 | 7 (2.3%) | 0.830 |
| Five-profile | 3410.98 | 24.9 | 3382.98 | 9.90 | 13 (4.3%) | 0.830 |
Note. AICc—Akaike Information Criterion corrected for the sample size; BIC—Bayesian Information Criterion; ΔAICc was calculated using the formula: Δi = AICi—AICmin (where AICmin is the lowest value of AIC among the models tested); ΔBIC was calculated using the formula: Δi = BICi—BICmin (where BICmin is the lowest value of BIC among the models tested). Number of members column shows the number of persons in the smallest cluster (% of the sample).
Fig 1Latent profiles—Three-factor solution.
Post-hoc pairwise multiple comparisons of the clusters after Kruskal-Wallis test.
| Clusters | Test Statistic | Std. Error | Significance | Adj. Sig. |
|---|---|---|---|---|
| F1 restrictions regarding social distancing | ||||
| 3–1 | 35.34 | 14.28 | 0.013 | 0.040 |
| 3–2 | 45.20 | 15.40 | 0.003 | 0.010 |
| 1–2 | -9.86 | 11.42 | 0.388 | 1.000 |
| F3 restrictions limiting civil rights without a direct impact on safety | ||||
| 3–2 | -10.56 | 14.33 | 0.461 | 1.000 |
| 2–1 | 29.70 | 10.62 | 0.005 | 0.016 |
| 3–1 | 19.14 | 13.29 | 0.150 | 0.450 |
| F4 restrictions limiting civil rights and increasing safety | ||||
| 3–2 | 5.75 | 15.40 | 0.709 | 1.000 |
| 3–1 | 31.62 | 14.28 | 0.027 | 0.081 |
| 2–1 | 25.86 | 11.42 | 0.024 | 0.071 |
Note. Each row tests the null hypothesis that the Cluster 1 and Cluster 2 distributions are the same. Asymptotic significances (2-sided tests) are displayed. The significance level is .05.
a. Significance values have been adjusted by the Bonferroni correction for multiple tests.
Fig 2Mean values for the acceptance of four groups of pandemic restrictions for three latent profiles.