OPIM - The Wharton
University of Pennsylvania
last update: 2013 05 02
Information on treadmill and standing desks
solution to p-hacking:
"A 21 Word Solution" (SSRN)
this article supports logical arguments with vivid imagery
22) Simonsohn, U. "Evaluating Replication Results" (SSRN)
approach for assessing if a replication failed, overturns conclusions
of existing replication studies, indicates sample size of replications x2.5 the original study
21) Simonsohn, U., Nelson
L, Simmons, J. (in press) "P-curve: A Key to the File Drawer," Journal of Experimental Psychology: General (www.p-curve.com)
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.
Simonsohn, U. (in press) "It Really
Just Does Not Follow, Comments on Francis (2013)", invited
commentary for the Journal
of Mathematical Psychology (.pdf)
misuses and misinterprets the publication-bias test. Lesson:
tool developers should anticipate misuse and take safeguards
to prevent it.
19) Simonsohn, U. (in press) "Just Post
it: The Lesson from Two Cases of Fabricated Data Detected by
Statistics Alone," Psychological
& code) (SSRN)
U, Gino, F. (2013) "Daily Horizons: Evidence of Narrow
Bracketing in Judgment from 10 years of MBA-admission
Science, V24(2), 219-224 (.pdf)
(earlier draft: SSRN)
analysis of Sanna's and Smeesters' raw data show they are fake.
On top of many other advantages, posting raw data will reduce
Interviewers avoid giving too many high/low
scores on the same day.
17) Nelson L., Simmons J., Simonsohn U. (2012) "Let's
Publish Fewer Papers," Psychological
Inquiry, V23(3), 291-293 (.pdf)
16) Simonsohn, U. (2012) "It Does Not Follow: Evaluating the
One-Off Publication Bias Critiques by Francis
on Psychological Science, V7(6), 597-599
critiques are cherry picked, and ignoring evidence is not a
justified conclusion from the presence of publication bias.
15) Simmons J., Nelson L.,
Simonsohn U. (2011) "False-Positive Psychology: Undisclosed Flexibility
in Data Collection and Analysis Allow Presenting Anything as
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, A. & Simonsohn U. (in press) "Proxying for Unobservable
Variables with Internet Document Frequency", Journal of the European Economic Association, V11(1),
Frequency of Internet documents about X
proxies for frequency of X; using insight we replicate
published studies predicting corruption.d
Simonsohn U. (2011) "Spurious Also? Name Similarity Effects
(Implicit Egotism) in Employer Decisions," Psychological
People disproportionately work for companies with
which they share an initial. Probably a spurious correlation.
U. (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
note: Pelham and
Carvallo wrote a rebuttal to this paper. Here is my 5-page
rejoinder titled "In
11) Pope D., Simonsohn U. (2011) "Round Numbers as Goals:
Evidence from Baseball, SAT Takers, and the Lab", Psychological Science, January, V22(1), 71-79 (.pdf)
performance is measured numerically, round numbers become
implicit goals that strongly influence behavior around
10) Simonsohn U. (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, U. (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, U. (2010) "Weather to Go to College", Economic Journal (.pdf)
More prospective college students
enroll after visiting campus on cloudy day.
7) Simonsohn, U. (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
6) Small, D. & Simonsohn U. (2008) "Friends of
Victims: Personal Experience and Prosocial Behavior." Journal of Consumer
Research, V35 532-542 (.pdf)
Donors give more to charities helping
the misfortune of someone they know.
5) Simonsohn, U. & Ariely D. (2008) "When Rational Sellers
Face Non-Rational Consumers: Evidence from Herding on eBay," Management Science V54(9)
eBay bidders choose auctions with more
bids, so sellers start them cheap.
4) imonsohn, U., Karlsson, N., Loewenstein, G. and Ariely, D.
(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, U. (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, U. & Loewenstein G. (2006) "Mistake #37: The
Impact of Previously Faced Prices on Housing Demand," Economic Journal, V116(1)
Movers from more expensive cities rent
more expensive apartments, at first.
1) Simonsohn, U. (2006) "New-Yorkers Commute More Everywhere:
Contrast Effects in the Field," Review of Economics and Statistics, V88(1) 1-9
Movers from cities with longer commutes
live further from work, at first.
Power point slides
as Goals: Evidence from the SAT, Baseball and the Lab
Lessons from an Oops at Consumer Reports:
Consumer Follow Experts; Ignore Invalid Information