2022
DOI: 10.1016/j.obhdp.2022.104149
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All’s well that ends (and peaks) well? A meta-analysis of the peak-end rule and duration neglect

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Cited by 24 publications
(19 citation statements)
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“…Our results are not consistent with the strong support for the peak-end rule in humans 1 . That said, some previous research in humans has also found that peak-end effects are sometimes poor predictors of past affective experiences.…”
Section: Discussioncontrasting
confidence: 99%
See 1 more Smart Citation
“…Our results are not consistent with the strong support for the peak-end rule in humans 1 . That said, some previous research in humans has also found that peak-end effects are sometimes poor predictors of past affective experiences.…”
Section: Discussioncontrasting
confidence: 99%
“…Substantive research supports a ‘peak-end’ rule, noting that the peak (i.e. the most intense moment) and end of affective episodes are most influential in people’s recollection of the event 1 , 2 .…”
Section: Introductionmentioning
confidence: 99%
“…Finally, our findings contradict recent meta-analytical findings by Alaybek et al (2022), which claim that the effect of duration on choice and evaluation is nil. We believe the meta-analytical findings give a false impression that duration neglect is a widespread phenomenon.…”
Section: Discussioncontrasting
confidence: 95%
“…This insensitivity to duration has produced the term duration neglect (Fredrickson & Kahneman, 1993), and studies have shown that some people prefer a longer painful medical procedure over a shorter alternative, if the longer procedure ends on a better note (Fredrickson, 2000; Kahneman, 2000; Kahneman et al, 1993; Redelmeier & Kahneman, 1996). Underscoring this, the meta-analysis by Alaybek et al (2022) on the peak–end rule and duration neglect finds a strong effect of the peak–end rule, r = .581, 95% CI [.487, .661], while the effect of duration on choice and evaluation is nil, r = −. 002, 95% CI [ −.…”
mentioning
confidence: 99%
“…2 Similarly, human communication research often uses self-report measures of constructs such as advice utilization intention (e.g., Van Swol et al, 2019). Interdisciplinary reviews of advice utilization would therefore be aided by empirical research, conducted across a series of judgments/choices, on the extent of convergence of regression- and formula-based approaches with retrospective self-report summary judgments—and, importantly, the situational and dispositional factors (including temporal heuristics such as the peak-end rule; Alaybek et al, in press) that influence this convergence.…”
Section: Operationalizing Advice Utilizationmentioning
confidence: 99%