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DTSTART:20001029T040000
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UID:pretalx-sips2025-budapest-TXBHD9@pretalx.com
DTSTART;TZID=CET:20250626T090000
DTEND;TZID=CET:20250626T091000
DESCRIPTION:A comprehensive meta-analysis was conducted to examine the effe
 cts and associations of apologies with forgiveness and unforgiveness (e.g.
 \, aggression\, revenge) by synthesizing data from 87 journal articles\, i
 ncluding both experimental and correlational studies\, using Bayesian meth
 ods. The meta-analysis revealed that apologies were positively associated 
 with forgiveness and were shown to promote forgiveness. Apologies were als
 o negatively associated with unforgiveness\, and were effective in reducin
 g unforgiveness. Subgroup analyses revealed the influence of moderators su
 ch as relationship type\, transgression context\, and unforgiveness measur
 es. The Bayesian framework\, underutilized in social psychology\, offers n
 uanced insights through direct probability statements and adjustments for 
 potential bias. This research not only synthesized past research on the ro
 le of apologies in conflict resolution but also highlighted the value of B
 ayesian meta-analysis in psychological research.
DTSTAMP:20260514T161050Z
LOCATION:Second floor 214
SUMMARY:LT20: Revisiting the Power of Apology: A Bayesian Meta-analysis - J
 ingyuan Sophie Li
URL:https://pretalx.com/sips2025-budapest/talk/TXBHD9/
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