The overall commentary reveals a strong consensus that publication bias has overestimated the ego depletion effect, with participants discussing the new meta-analytical findings and their implications. The tone is analytical and reflective, highlighting the importance of rigorous methods and questioning long-held assumptions, which underscores the high impact and interest in this discussion.
AgreementModerate agreement
Most discussions agree that publication bias has significantly distorted previous beliefs about ego depletion effects, supporting the article's critical view.
InterestHigh interest
The discussions demonstrate high curiosity and engagement with the topic, referencing new analyses and implications for psychology.
EngagementHigh engagement
Participants are actively analyzing data, methods, and implications, reflecting deep engagement with the research and its validity.
ImpactHigh impact
The debates emphasize a major shift in understanding ego depletion, indicating a substantial impact on future research and theories in psychology.
Abstract in brief
The limited strength model of self-control suggests that acts of self-control become less effective after recent exertion, and previous research considered the ego depletion effect to be a moderate and reliable phenomenon.
However, this new analysis indicates that when accounting for publication bias and small-study effects, the evidence for ego depletion may be overestimated or even nonexistent, calling into question whether the effect truly exists.
The authors stress the importance of applying rigorous methods to detect publication bias in psychological research and recommend focusing future studies on establishing whether the basic depletion effect is real before building further theories on it.]
We have some clear cases where publication bias kept hundreds of researchers busy for decades, even though they were all only sharing Type 1 errors: Ego-depletion research. https://t.co/xhUCriGoL5 Recent large scale studies corroborated this prediction of an effect of ~0. https://t.co/2FbsEw5Jzq
These observed (d = .50) and adjusted (d = .22) effect sizes are virtually identical to the results from meta-analyses of the ego depletion effect (d ≈ .60/.20; https://t.co/f4t2eNjxjA), which disappeared completely in registered replication MA (d=.04; https://t.co/pjaReShxFv) https://t.co/QOHvJwVoXh
May 11, 2021 · 7 likes · 1 share · 6,147 followersView post →
SA
Sinan Alper
@SinanAlper_ · X
@dkokdemir İkincisi, ego depletion literatüründe zaten ciddi bir publication bias var: https://t.co/5OJAcL1ExL
Dolayısıyla preregistered olmayan, tek tük oradan buradan çalışmaların basılıyor olması zaten hiç sürpriz değil. Sonuç çıkmayan ve basılmayan tonla başka çalışma var.
Sep 17, 2019 · 1 like · 54,879 followersView post →
SA
Sinan Alper
@SinanAlper_ · X
@_onurcanyilmaz Tek çalışmada ölmedi ki zaten, yıllardır azar azar ölüyor. Destekleyici görülen bulgular bile aslında büyük resimde desteklemiyor: https://t.co/5OJAcL1ExL
Sep 17, 2019 · 1 like · 54,879 followersView post →
DL
Daniël Lakens
@lakens · X
@drboothroyd @MaxPrimbs @LisaDeBruine Yes, that is the estimate using PET (see https://t.co/RcvQ4dme2U by @ME_McCullough and @ec_cart which is where I got it from). Remember PET has assumptions which might not hold so we do not know if the estimate = truth.
Sep 5, 2019 · 1 like · 30,675 followersView post →
The limited strength model suggests self-control diminishes after exertion, but recent analysis questions whether ego depletion is a genuine effect or overestimated due to publication bias and small-study effects…
The limited strength model suggests self-control wanes after exertion. This analysis questions the reliability of the ego depletion effect, highlighting potential overestimations due to publication bias and small-study…
This analysis questions the validity of the ego depletion effect, highlighting how publication bias and small-study effects may have led to overestimated evidence for self-control limits. Rigorous methods are essential…
The backstory and the explanation of the method can be found here (although the plots they show in the paper are slightly less self-explanatory)
https://t.co/ocanLnoYsS
@cjvanlissa @Oliver_S_Curry @JZBerman No paradox or contradiction implied. Just an eerie sense of déjà vu. With ego depletion, it all started with better correcting for pub bias, https://t.co/ZqeYgGE60s. Now, I like the giving-happiness effect, so hopefully this feeling is misplaced.
These observed (d = .50) and adjusted (d = .22) effect sizes are virtually identical to the results from meta-analyses of the ego depletion effect (d ≈ .60/.20; https://t.co/f4t2eNjxjA), which disappeared completely in registered replication MA (d=.04; https://t.co/pjaReShxFv) https://t.co/QOHvJwVoXh
May 11, 2021 · 7 likes · 1 share · 6,147 followersView post →
ME
Michiel van Elk
@MichielElk · X
RT @lakens: We have some clear cases where publication bias kept hundreds of researchers busy for decades, even though they were all only s…
We have some clear cases where publication bias kept hundreds of researchers busy for decades, even though they were all only sharing Type 1 errors: Ego-depletion research. https://t.co/xhUCriGoL5 Recent large scale studies corroborated this prediction of an effect of ~0. https://t.co/2FbsEw5Jzq
@_onurcanyilmaz Tek çalışmada ölmedi ki zaten, yıllardır azar azar ölüyor. Destekleyici görülen bulgular bile aslında büyük resimde desteklemiyor: https://t.co/5OJAcL1ExL
Sep 17, 2019 · 1 like · 54,879 followersView post →
SA
Sinan Alper
@SinanAlper_ · X
@dkokdemir İkincisi, ego depletion literatüründe zaten ciddi bir publication bias var: https://t.co/5OJAcL1ExL
Dolayısıyla preregistered olmayan, tek tük oradan buradan çalışmaların basılıyor olması zaten hiç sürpriz değil. Sonuç çıkmayan ve basılmayan tonla başka çalışma var.
Sep 17, 2019 · 1 like · 54,879 followersView post →
DL
Daniël Lakens
@lakens · X
@drboothroyd @MaxPrimbs @LisaDeBruine Yes, that is the estimate using PET (see https://t.co/RcvQ4dme2U by @ME_McCullough and @ec_cart which is where I got it from). Remember PET has assumptions which might not hold so we do not know if the estimate = truth.
Sep 5, 2019 · 1 like · 30,675 followersView post →
N
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