| Literature DB >> 35496213 |
Yong Lu1.
Abstract
From an integrative approach of parable interpretation that combines ethical, evolutionary, historical, and psychological perspectives, the current research empirically examined the purely theorized assumption elucidating the behaviors of the priest, Levite, and Samaritan in the good Samaritan parable (Luke 10:25-37) by the regulatory focus theory. In one experiment conducted during the COVID-19 outbreak, 93 Polish participants were randomly assigned to a simulated vignette of the good Samaritan parable where either the prevention or promotion regulatory focus was manipulated. The results confirmed a certain favorable tendency to offer quasi-realistic help in both the regulatory focus conditions. The finding highlights a dynamic association in goal pursuit motivation and prosocial behavior in a pandemic context regarding the good Samaritan parable. The current study is among rare empirical research which reflects a challenge people respond to offer help in simulated scenarios as original as the good Samaritan parable.Entities:
Keywords: COVID-19; empathy; helping behavior; prosocial behavior; regulatory focus theory
Year: 2022 PMID: 35496213 PMCID: PMC9043862 DOI: 10.3389/fpsyg.2022.776986
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
The probabilities resulted from neglecting the half-dead stranger with leprosy.
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| − (50%) | + (0%) | − (100%) |
On a scale from 0% to 100%, ranging from - (loss) to + (gain), with probabilities in bracket (50% = chance level).
The probabilities resulted from helping the half-dead stranger with leprosy.
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| + (50%) | − (0%) | + (100%) |
On a scale from 0% to 100%, ranging from - (loss) to + (gain), with probabilities in bracket (50% = chance level).
Figure 1Prevention and promotion indexes. On a 7-point Likert scale (from 1 = strongly disagree to 7 = Strongly agree). Error bars are the ±2 standard error of the mean.
Figure 2Neglect vs. help strategy. On a 5-point Likert scale (from 1 = strongly disagree to 5 = Strongly agree). Error bars are the ±1 standard error of the mean.