Ioannis Evangelidis (@i_evangelidis) 's Twitter Profile
Ioannis Evangelidis

@i_evangelidis

Associate Professor @ESADE. Behavioral scientist interested in judgment & decision making, measurement, data analytics, replications, open science, etc.

ID: 1207229128304283650

linkhttps://sites.google.com/site/ioannisevangelidis/ calendar_today18-12-2019 09:20:45

839 Tweet

994 Followers

214 Following

Ioannis Evangelidis (@i_evangelidis) 's Twitter Profile Photo

Went through JMR's and JCR's latest issues. Not counting qualitative studies and analyses of secondary data, 5 out of 37 (13.5%) studies at JMR were preregistered, while 5 out of 26 (19.2%) studies at JCR were preregistered. Also, no paper wherein all studies were preregistered.

Uri Simonsohn (@uri_sohn) 's Twitter Profile Photo

A bit of an evergreen. When power is x%, the share of p<.01 among p<.05 results is approximately x% R Code: ncp=seq(0,4,.01) power05 =(1-pt(qt(.975,df=5000),df=5000,ncp=ncp)) power01 = (1-t(qt(.995,df=5000),df=5000,ncp=ncp)) share01 = power01/power05

A bit of an evergreen.   

When power is x%, the share of p&lt;.01 among p&lt;.05 results is approximately x%  

R Code:   
ncp=seq(0,4,.01)  
power05 =(1-pt(qt(.975,df=5000),df=5000,ncp=ncp))   power01 = (1-t(qt(.995,df=5000),df=5000,ncp=ncp))   share01 = power01/power05
Jackie Silverman, PhD (@jackiesilverman) 's Twitter Profile Photo

New paper alert! pubsonline.informs.org/doi/full/10.12… Ever wonder how people's choices change over multiple predictions? Uri Barnea and I find that people are more likely to forecast the improbable outcome - like an underdog winning a game - in LATER (vs. earlier) predictions in a sequence.

Sebastian Olschewski (@seb_olschewski) 's Twitter Profile Photo

New publication PNASNews: Frequent winners explain apparent skewness preferences in experience-based decisions pnas.org/doi/epdf/10.10… With Mikhail Spektor and Gael Le Mens Thread(1/7)>>>

Jonathan Berman (@jzberman) 's Twitter Profile Photo

Further evidence that marketing is far behind psychology in open science. What is the policy board thinking? This is not how a so-called science manages itself.

Further evidence that marketing is far behind psychology in open science. What is the policy board thinking? This is not how a so-called science manages itself.
Quentin André (@andre_quentin) 's Twitter Profile Photo

Woke up to the good news that our paper (w/ Nicholas Reinholtz) on group sequential designs is accepted at Journal of Consumer Research ! Want to learn more about designing more efficient and more informative studies? This blog post summarizes the key insights from our paper: quentinandre.net/post/more-effi…

Ioannis Evangelidis (@i_evangelidis) 's Twitter Profile Photo

Proud of my cousin for winning the gold award at the 2024 World Nature Photography Awards' Humans and Nature category (worldnaturephotographyawards.com/winners-2024) for his gorgeous picture titled "Catch of the Day".

Proud of my cousin for winning the gold award at the 2024 World Nature Photography Awards' Humans and Nature category (worldnaturephotographyawards.com/winners-2024) for his gorgeous picture titled "Catch of the Day".
Ike Silver (@ikemdsilver1) 's Twitter Profile Photo

Accusations of hypocrisy are meant to be damning, but they are also flexible: For the same patterns of behavior, we see hypocrisy in our enemies, but not in ourselves or our friends. In a new paper Cognition, Jonathan Berman and I try to explain how such flexibility works. 🧵

Accusations of hypocrisy are meant to be damning, but they are also flexible: For the same patterns of behavior, we see hypocrisy in our enemies, but not in ourselves or our friends.

In a new paper <a href="/CognitionJourn/">Cognition</a>, <a href="/JZBerman/">Jonathan Berman</a> and I try to explain how such flexibility works. 

🧵
Carey Morewedge (@morewedge) 's Twitter Profile Photo

🚨 New in PNASNews 🚨 We find that people see more of their #biases in #algorithms' decisions than in their own #decisions, even when algorithms are trained on their decisions and when those decisions are the same. 1/n pnas.org/doi/10.1073/pn…

🚨 New in <a href="/PNASNews/">PNASNews</a> 🚨

We find that people see more of their #biases in #algorithms' decisions than in their own #decisions, even when algorithms are trained on their decisions and when those decisions are the same.  1/n
 
pnas.org/doi/10.1073/pn…
Ioannis Evangelidis (@i_evangelidis) 's Twitter Profile Photo

Just to add that another version of s-hacking involves presenting the average of multiple stimuli when many stimuli show opposite or null effects. We argue for the use of stimulus plots, where readers can see the effect for each stimulus. More here: dx.doi.org/10.2139/ssrn.4…

Ioannis Evangelidis (@i_evangelidis) 's Twitter Profile Photo

Wondering how to best sample stimuli for your studies? Are you asking yourself how to analyze the data from studies with multiple stimuli? If the answer to either question is yes, then we have answers for you. Tune in for a presentation of our paper by Uri Simonsohn

Ioannis Evangelidis (@i_evangelidis) 's Twitter Profile Photo

We are seeking applications for a tenure-track (assistant professor) position in Marketing. For more information: esadefaculty.teamtailor.com/jobs/4742233-a…

Don Moore (@donandrewmoore) 's Twitter Profile Photo

On December 8th, our Berkeley journal club read a paper claiming that thoughts of God increased algorithm appreciation. Today, PNASNews published our attempts to replicate those results. Spoiler alert: we fail to replicate the original claims pnas.org/doi/10.1073/pn…