Uri's picture
Uri Simonsohn
Associate Professor
OPIM - The Wharton School
University of Pennsylvania
uws@wharton.upenn.edu
twitter: @uri_sohn
Huntsman Hall 548
3730 Walnut Street
Philadelphia, PA19104

Last update: 2014 12 15
    
Other
1) Blog: Data Colada

2) Disclosure statement to include in referee reports:
"I request that the authors add a statement to the paper confirming whether, for all experiments, they have reported all measures, conditions, data exclusions, and how they determined their sample sizes. The authors should, of course, add any additional text to ensure the statement is accurate. This is the standard reviewer disclosure request endorsed by the Center for Open Science [see http://osf.io/hadz3]. I include it in every review."

3) Treadmill or standing desk? Some info


In Preparation

28) Mislavsky, Simonsohn  "Risk Is Weird"

27) Simonsohn, Simmons, Nelson "False-Positive Economics"

Working papers

26) Simonsohn
  "Posterior-Hacking: Selective Reporting Invalidates Bayesian Results Also" (SSRN)
p-hacking misleads Bayesians as much as it misleads other mortals.

25) Simonsohn,  Simmons, 
Nelson "Anchoring is Not a False-Positive: Maniadis, Tufano and List (2014) 'Failure-to-Replicate' is Actually Entirely Consistent with the Original" (SSRN)
       The Anchoring replication is not significantly different from 0, but also not significantly different from large.
   
Publications
24) Simonsohn (in press)  "Small Telescopes: Detectability and the Evaluation of Replication Results" Psychological Science (SSRNSupplement | R Programs)
A new appraoch to evaluating replications that combines hypothesis testing with effect size estimation
(formerly titled "Evaluating Replication Results")


23) Simonsohn,  Simmons, Nelson (2014) "P-Curve and Effect Size: Correcting for Publication Bias Using Only Significant Results" Perspectives on Psychological Science V9(6) p.666-681  (SSRN p-curve.com)
How to estimate effect size, if you must.  

22) Silberzahn, Simonsohn, Uhlmann (2014) "Matched-Names Analysis Reveals No Evidence of Name-Meaning Effects: A Collaborative Commentary on Silberzahn and Uhlmann (2013), Psychological Science V25(7), p.1504-1505 (.pdf) (data)
Collaborating with original authors we show Herr Kayser is not disproportionately likely to work as a manager after all.

21) Simonsohn, Nelson, Simmons, (2014) "P-curve: A Key to the File Drawer," Journal of Experimental Psychology: General, V143(2), p.534-547 (SSRN  |  Supplement |  p-curve.com)
How to analyze the distribution of significant p-values for set of findings to undo impact of selective reporting, of both studies and analyses, on hypothesis testing.
In other words: p-curve helps tell true findings from the rest.

20)
Simonsohn (2013)  "It Really Just Does Not Follow, Comments on Francis (2013)", invited commentary for the Journal of Mathematical Psychology, V57(5) p.174-176 (.pdf)
Francis misuses and misinterprets the publication-bias test. Lesson: tool developers should anticipate misuse and take safeguards to prevent it.

19) Simonsohn (2013) "Just Post it: The Lesson from Two Cases of Fabricated Data Detected by Statistics Alone," Psychological Science, V24(10), p.1875-1888,  (SSRN  |  Data & code )
The analysis of Sanna's and Smeesters' raw data show they are fake. On top of many other advantages, posting raw data will reduce academic fraud.
Interview with Dutch newspaper (in English)
Interview with Ed Yong from Nature (see his blog post)

18) Simonsohn, Gino  (2013) "Daily Horizons: Evidence of Narrow Bracketing in Judgment from 10 years of MBA-admission Interviews", Psychological Science,   V24(2), 219-224 (.pdf) (earlier draft: SSRN)
Interviewers avoid giving too many high/low scores on the same day.

17) Nelson, Simmons, Simonsohn (2012) "Let's Publish Fewer Papers," Psychological Inquiry, V23(3), 291-293 (.pdf)

16) Simonsohn (2012) "It Does Not Follow: Evaluating the One-Off Publication Bias Critiques by Francis (2012a,b,c,d,e,f), Perspectives on Psychological Science, V7(6),  597-599
(.pdf)
The critiques are cherry picked, and ignoring evidence is not a justified conclusion from the presence of publication bias.

15) Simmons, Nelson, Simonsohn (2011) "False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allow Presenting Anything as Significant", Psychological Science, V22(11),  1359-1366  (SSRN)
Logical argument, experimental demonstration, and simulations showing that if a set of disclosure requirements we propose are not followed, results in experiments are uninterpretable.

14) Saiz & Simonsohn (2013) "Proxying for Unobservable Variables with Internet Document Frequency",
  Journal of the European Economic Association, V11(1), 137-165  [DATA] (pdf)
Frequency of Internet documents about X proxies for frequency of X; using insight we replicate published studies predicting corruption.d

13) Simonsohn (2011) "Spurious Also? Name Similarity Effects (Implicit Egotism) in Employer Decisions," Psychological Science, V22(8), 1087-1089 (SSRN)
People disproportionately work for companies with which they share an initial. Probably a spurious correlation.

12) Simonsohn (2011) "Spurious? Name Similarity Effects (Implicit Egotism) in Marriage, Job, and Moving Decisions", Journal of Personality and Social Psychology, V101(1) 1-24 (SSRN
Three JPSP papers find that people disproportionately choose spouses, places to live and occupations with names similar to their own. Analyzing the same and additional data I find that the existing evidence is spurious.
 note: Pelham and Carvallo wrote a rebuttal to this paper. Here is my 5-page rejoinder titled "In Defense of Diligence".

11) Pope, Simonsohn (2011) "Round Numbers as Goals: Evidence from Baseball, SAT Takers, and the Lab", Psychological Science,
January, V22(1), 71-79 (.pdf)
When performance is measured numerically, round numbers become implicit goals that strongly influence behavior around them.

10) Simonsohn (2011) "Lessons from an Oops at Consumer Reports: Consumer Follow Experts; Ignore Invalid Information", Journal of Marketing Research, February V48(1) 1-12 (.pdf)
Consumer Reports released & then retracted info on carseat safety. Surprisingly, people successfully ignored the retracted information.
 
9) Simonsohn,  (2010) "eBay's Crowded Evenings: Competition Neglect in Market Entry Decisions", Management Science, V56(7), 1060-1073  (.pdf)
Too many sellers end their auctions at peak time, so they lose money.

8) Simonsohn,  (2010) "Weather to Go to College", Economic Journal (.pdf)
More prospective college students enroll after visiting campus on cloudy day.
 
7) Simonsohn,  (2009) "Direct-Risk-Aversion: Evidence from Risky Prospects Valued Below Their Worst Outcome" Psychological Science, V20(6) 686-692 (.pdf)
People value lotteries less than their worst outcome due to uncertainty; not confusion or "joint-evaluation."
 
6) Small & Simonsohn  (2008)  "Friends of Victims: Personal Experience and Prosocial Behavior."  Journal of Consumer Research, V35 532-542 (.pdf) [raw data]
Donors give more to charities helping the misfortune of someone they know.
 
5) Simonsohn,  & Ariely  (2008) "When Rational Sellers Face Non-Rational Consumers: Evidence from Herding on eBay," Management Science V54(9) 1624-1637 (.pdf)
eBay bidders choose auctions with more bids, so sellers start them cheap.
 
4) Simonsohn, Karlsson, Loewenstein, and Ariely (2008) "The Tree of Experience in the Forest of Information: Overweighing Experienced Relative to Observed Information" Games and Economic Behavior, V62, 263-286 (.pdf)
People respond more to information that affected them directly.
 
3) Simonsohn, (2007) "Clouds Make Nerds Look Good: Field Evidence of the Influence of Incidental Factors on Decision Making", Journal of Behavioral Decision Making, V20(2) 143-152 (.pdf)
College applicants' academic attributes are weighted more if evaluated on cloudy days.
 
2) Simonsohn & Loewenstein (2006) "Mistake #37: The Impact of Previously Faced Prices on Housing Demand," Economic Journal, V116(1) 175-199 (.pdf)
Movers from more expensive cities rent more expensive apartments, at first.
 
1) Simonsohn (2006) "New-Yorkers Commute More Everywhere: Contrast Effects in the Field," Review of Economics and Statistics, V88(1) 1-9 (.pdf)
Movers from cities with longer commutes live further from work, at first.
 

Power point slides
Spurious? Name Similarity Effects (Implicit Egotism) in Marriage, Job, and Moving Decisions

Round Numbers as Goals: Evidence from the SAT, Baseball and the Lab

Lessons from an Oops at Consumer Reports: Consumer Follow Experts; Ignore Invalid Information