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Due to the discrepancy in the theoretically justified models that we had pre-registered and ongoing debates over the specifications of modelling such complex data, we ran a variety of models (described in detail in Supplementary Results and summarized in Table 3) with different link functions and different specifications of fixed and random effects, as well as robust random effects and randomization inference. Triage teams should be set up to implement criteria for prioritization, to minimize bias, and to avoid unintended negative consequences. Data collection was performed blind to the conditions of the participants. As specified in Analysis plan, we also ran a model that included countries as random slopes of the two main effects and the interactive effect; the results were consistent with the simpler model, but due to convergence issues with the more complex model, we report the simpler model. In one country (Germany), older participants were overrepresented by 6% (for details, see Supplementary Results; for figures depicting expected versus obtained counts in each gender and age category, see Supplementary Figs. This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. Scarce resources allocation in the COVID-19 outbreak. Psychol. Factors associated with mental health outcomes among health care workers exposed to coronavirus disease 2019. 4a. Across both the self-report and behavioural measures, endorsement of instrumental harm decreased trust, while endorsement of impartial beneficence increased trust. 0.09, CI [3.05, 3.65]; mean trust for non-utilitarian leaders 4.95, s.e. PubMedGoogle Scholar. For the voting task, we conducted a generalized linear mixed-effects model with the logit link of the effect of dimension type (instrumental harm versus impartial beneficence) on leader choice (utilitarian versus non-utilitarian), adding demographic variables (gender, age, education, subjective SES, political ideology and religiosity) and policy support as fixed effects and countries as a random slope of dimension. Angrist, J. D. & Pischke, J. S. Mostly Harmless Econometrics: An Empiricists Companion (Princeton Univ. Again, the results were remarkably consistent with the predicted pattern of results seen across all 22 countries, with China, Israel and Canada showing the smallest effects and Norway, the UAE and the United States showing the largest effect size. We displayed this amount to voter participants in the main experiment. The .gov means its official. Fair allocation of scarce medical resources in the time of Covid-19. The morals and ethics of the COVID-19 frontline - Pursuit

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moral and ethical dilemma during covid 19