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SCANDAL!
Liars, cheaters, and other scientists
Diederik Stapel, Psychologist
               •   Research Professor, Consumer
                   Science
               •   Director, Tilburg Institute for
                   Behavioral Economics Research
                   (TIBER)
               •   Faculty dean
               •   Ph.D. Psychology, Cum Laude,
                   University of Amsterdam, The
                   Netherlands
               •   Winner ASPO Best Dissertation
                   Award, Dutch Association of
                   Social Psychologists)
               •   Winner Jos Jaspars Early Career
                   Award, European Association for
                   Experimental Social Psychology
               •   Fulbright scholar
               •   Over 100 publications
Diederik Stapel, Gigantic Fraud
                • At least 30 articles and
                  several book chapters
                  based on fabricated data
                • Forfeited Ph.D.
                • 12 students with
                  dissertations under
                  investigation
                • University of Tilburg will
                  press criminal charges for
                  fraud and forgery
                • Investigation ongoing,
                  likely to take a year or
                  more
THE
             UNIVERSITIES




THE PUBLIC                  THE STUDENTS




THE FIELD
                            COLLEAGUES




                THE
             JOURNALS
Did Stapel fake his
            research? Did he and his
            students really make all
            those people fill out forms
            for an apple? Did Stapel
            really cross-tabulate the
            data? …
THE FIELD
            Who cares? The
            experiments are
            preposterous. You‟d have to
            be a highly trained social
            psychologist, or a journalist,
            to think otherwise.
            -Andrew Ferguson
            “The Chump Effect”
            The Weekly Standard
It is important for a PhD student or
               research Master‟s student to gain
               personal experience of the entire
               research process, including the
               collection and processing of the data,
               and certainly so where their own
               research is involved. A number of Mr
               Stapel‟s PhD students therefore
               never experienced this process for
THE STUDENTS   themselves. …
               It was precisely because of the
               isolated approach that the young
               researchers were unaware that this
               was not a normal state of affairs in
               social psychology research.
               -The Levelt Committee
               “Interim Report Regarding the Breach of
               Scientific Integrity Committed by Prof. D.A.
               Stapel”
Looking back, this is a
             mega-sized failure. Not only
             was the research not value-
             free, the results were
             completely fake!
             …I regret very much that
COLLEAGUES   this has happened and I will
             do everything I can to
             recover the trust in scientific
             work in social psychology.
             -Roos Vonk
             “Bewildered: Research on
             „Psychology of Meat‟ is based on
             fraud”
“Report
               finds
    THE
UNIVERSITIES   massive
               fraud at
               Dutch
               universities”
               -Headline, Nature
• Poor collaboration
      • Isolation of researchers
        within the university
      • Critical failure of peer
        reviewers
      • Bias toward positive results
        (“Verification Factory”)
WHY   • Uncritical view of data by
        reviewers and colleagues
      • Data hoarding
      • Lack of independent officer
        to report suspected fraud
      • Lack of joint responsibility
        for training researchers
      Levelt Committee Report
•   Better “integrity” training for PhD
          students
      •   Appoint “Confidential Counselor
          for Academic Integrity”
      •   Draft rules for protecting whistle
          blowers specific to scientific
          matters
      •   Dual supervisors for PhD
HOW   •
          candidates
          Doctoral boards must ascertain
          that data was collected and
          analyzed by the candidate
      •   Publications must specify where
          and how data were collected
      •   Research data must be held on
          file and made available on request
          for at least five years
      •   Publications must disclose where
          data are held and how to access
      Levelt Committee Report
From the ASA Code of Conduct:
             15. Authorship Credit
             (a) Sociologists take responsibility and
             credit, including authorship credit, only for
             work they have actually performed or to
             which they have contributed.
             (b) Sociologists ensure that principal
             authorship and other publication credits
AUTHORSHIP   are based on the relative scientific or
             professional contributions of the
             individuals involved, regardless of their
             status. In claiming or determining the
             ordering of authorship, sociologists seek to
             reflect accurately the contributions of main
             participants in the research and writing
             process.
             (c) A student is usually listed as principal
             author on any multiple authored
             publication that substantially derives from
             the student's dissertation or thesis.
Marc Hauser, Evolutionary Biologist
                  • Professor, Harvard
                    College
                  • Co-director, Mind, Brain,
                    and Behavior Program
                  • Director, Cognitive
                    Evolution Lab
                  • NSF Young Investigator
                    Award
                  • Science medal from the
                    College de France
                  • Guggenheim Fellow
                  • ~200 articles published,
                    as well as 6 books
Marc Hauser, Fraud?
          • Found solely responsible for
            8 counts of academic
            misconduct
          • After a year‟s leave of
            absence, faculty voted
            overwhelmingly to bar him
            from teaching
          • Resigned in August 2011
          • Other studies were
            replicated by Hauser and
            co-authors
          • Harvard has not specified
            the nature of his misconduct
          • Internal documents suggest
            that he falsified and
            fabricated data
Leslie K. John, George
Loewenstein, and Drazen Prelec.
(forthcoming)

“Measuring the
Prevalence of
Questionable Research
Practices with Incentives
for Truth-telling”
Psychological Science
Admission rates and defensibility ratings, by item.
     Note: Defensibility ratings were provided by respondents who admitted to having engaged in the given behavior.

Item                      Control (%)            Bayesian Truth            Odds Ratio   Two-tailed p         Mean defensibility
                                                 Serum (%)                              (Likelihood ratio)   (SD)
                                                                                                             0=Indefensible
                                                                                                             1=Possibly defensible
                                                                                                             2=Defensible

In a paper, failing to
report all of a study's
dependent
measures.
Deciding whether to
collect more data
after looking to see
whether the results
were significant.
In a paper, failing to
report all of a study's
conditions.
Stopping collecting
data earlier than
planned because
one found the result
that one had been
looking for.*
In a paper,
'Rounding off' a p
value (e.g. reporting
that a p value of .054
is less than .05)
In a paper,
selectively reporting
studies that 'worked.'
*Difference between experimental conditions significant at alpha ≤ 0.005
Admission rates and defensibility ratings, by item.
    Note: Defensibility ratings were provided by respondents who admitted to having engaged in the given behavior.



Item                    Control (%)              Bayesian Truth            Odds Ratio   Two-tailed p         Mean defensibility
                                                 Serum (%)                              (Likelihood ratio)   (SD)
                                                                                                             0=Indefensible
                                                                                                             1=Possibly defensible
                                                                                                             2=Defensible

Deciding whether to
exclude data after
looking at the impact
of doing so on the
results.
In a paper, reporting
an unexpected
finding as having
been predicted from
the start.*
In a paper, claiming
that results are
unaffected by
demographic
variables (e.g.
gender) when one is
actually unsure (or
knows that they do).
Falsifying data.




*Difference between experimental conditions significant at alpha ≤ 0.005
Admission rates and defensibility ratings, by item.
                          Items are listed in decreasing order of judged defensibility.
     Note: Defensibility ratings were provided by respondents who admitted to having engaged in the given behavior.

Item                      Control (%)            Bayesian Truth            Odds Ratio    Two-tailed p         Mean defensibility
                                                 Serum (%)                               (Likelihood ratio)   (SD)
                                                                                                              0=Indefensible
                                                                                                              1=Possibly defensible
                                                                                                              2=Defensible

In a paper, failing to
report all of a study's
                                 63.4                    66.5                     1.14           0.23               1.84 (.39)
dependent
measures.
Deciding whether to
collect more data
after looking to see             55.9                    58.0                     1.08           0.46               1.79 (.44)
whether the results
were significant.
In a paper, failing to
report all of a study's          27.7                    27.4                     0.98           0.90               1.77 (.49)
conditions.
Stopping collecting
data earlier than
planned because
                                 15.6                    22.5                     1.57           0.00               1.76 (.48)
one found the result
that one had been
looking for.*
In a paper,
'Rounding off' a p
value (e.g. reporting            22.0                    23.3                     1.07           0.58               1.68 (.57)
that a p value of .054
is less than .05)
In a paper,
selectively reporting            45.8                    50.0                     1.18           0.13               1.66 (.53)
studies that 'worked.'
*Difference between experimental conditions significant at alpha ≤ 0.005
Admission rates and defensibility ratings, by item.
                        Items are listed in decreasing order of judged defensibility.
    Note: Defensibility ratings were provided by respondents who admitted to having engaged in the given behavior.


Item                    Control (%)              Bayesian Truth            Odds Ratio    Two-tailed p         Mean defensibility
                                                 Serum (%)                               (Likelihood ratio)   (SD)
                                                                                                              0=Indefensible
                                                                                                              1=Possibly defensible
                                                                                                              2=Defensible

Deciding whether to
exclude data after
looking at the impact           38.2                     43.4                     1.23           0.06               1.61 (.59)
of doing so on the
results.
In a paper, reporting
an unexpected
finding as having               27.0                     35.0                     1.45           0.00                1.5 (.60)
been predicted from
the start.*
In a paper, claiming
that results are
unaffected by
demographic
                                 3.0                      4.5                     1.52           0.16               1.32 (.60)
variables (e.g.
gender) when one is
actually unsure (or
knows that they do).
Falsifying data.
                                 0.6                      1.7                     2.75           0.07               0.16 (.37)




*Difference between experimental conditions significant at alpha ≤ 0.005

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Scandal!

  • 1. SCANDAL! Liars, cheaters, and other scientists
  • 2. Diederik Stapel, Psychologist • Research Professor, Consumer Science • Director, Tilburg Institute for Behavioral Economics Research (TIBER) • Faculty dean • Ph.D. Psychology, Cum Laude, University of Amsterdam, The Netherlands • Winner ASPO Best Dissertation Award, Dutch Association of Social Psychologists) • Winner Jos Jaspars Early Career Award, European Association for Experimental Social Psychology • Fulbright scholar • Over 100 publications
  • 3. Diederik Stapel, Gigantic Fraud • At least 30 articles and several book chapters based on fabricated data • Forfeited Ph.D. • 12 students with dissertations under investigation • University of Tilburg will press criminal charges for fraud and forgery • Investigation ongoing, likely to take a year or more
  • 4. THE UNIVERSITIES THE PUBLIC THE STUDENTS THE FIELD COLLEAGUES THE JOURNALS
  • 5. Did Stapel fake his research? Did he and his students really make all those people fill out forms for an apple? Did Stapel really cross-tabulate the data? … THE FIELD Who cares? The experiments are preposterous. You‟d have to be a highly trained social psychologist, or a journalist, to think otherwise. -Andrew Ferguson “The Chump Effect” The Weekly Standard
  • 6. It is important for a PhD student or research Master‟s student to gain personal experience of the entire research process, including the collection and processing of the data, and certainly so where their own research is involved. A number of Mr Stapel‟s PhD students therefore never experienced this process for THE STUDENTS themselves. … It was precisely because of the isolated approach that the young researchers were unaware that this was not a normal state of affairs in social psychology research. -The Levelt Committee “Interim Report Regarding the Breach of Scientific Integrity Committed by Prof. D.A. Stapel”
  • 7. Looking back, this is a mega-sized failure. Not only was the research not value- free, the results were completely fake! …I regret very much that COLLEAGUES this has happened and I will do everything I can to recover the trust in scientific work in social psychology. -Roos Vonk “Bewildered: Research on „Psychology of Meat‟ is based on fraud”
  • 8. “Report finds THE UNIVERSITIES massive fraud at Dutch universities” -Headline, Nature
  • 9. • Poor collaboration • Isolation of researchers within the university • Critical failure of peer reviewers • Bias toward positive results (“Verification Factory”) WHY • Uncritical view of data by reviewers and colleagues • Data hoarding • Lack of independent officer to report suspected fraud • Lack of joint responsibility for training researchers Levelt Committee Report
  • 10. Better “integrity” training for PhD students • Appoint “Confidential Counselor for Academic Integrity” • Draft rules for protecting whistle blowers specific to scientific matters • Dual supervisors for PhD HOW • candidates Doctoral boards must ascertain that data was collected and analyzed by the candidate • Publications must specify where and how data were collected • Research data must be held on file and made available on request for at least five years • Publications must disclose where data are held and how to access Levelt Committee Report
  • 11. From the ASA Code of Conduct: 15. Authorship Credit (a) Sociologists take responsibility and credit, including authorship credit, only for work they have actually performed or to which they have contributed. (b) Sociologists ensure that principal authorship and other publication credits AUTHORSHIP are based on the relative scientific or professional contributions of the individuals involved, regardless of their status. In claiming or determining the ordering of authorship, sociologists seek to reflect accurately the contributions of main participants in the research and writing process. (c) A student is usually listed as principal author on any multiple authored publication that substantially derives from the student's dissertation or thesis.
  • 12. Marc Hauser, Evolutionary Biologist • Professor, Harvard College • Co-director, Mind, Brain, and Behavior Program • Director, Cognitive Evolution Lab • NSF Young Investigator Award • Science medal from the College de France • Guggenheim Fellow • ~200 articles published, as well as 6 books
  • 13. Marc Hauser, Fraud? • Found solely responsible for 8 counts of academic misconduct • After a year‟s leave of absence, faculty voted overwhelmingly to bar him from teaching • Resigned in August 2011 • Other studies were replicated by Hauser and co-authors • Harvard has not specified the nature of his misconduct • Internal documents suggest that he falsified and fabricated data
  • 14. Leslie K. John, George Loewenstein, and Drazen Prelec. (forthcoming) “Measuring the Prevalence of Questionable Research Practices with Incentives for Truth-telling” Psychological Science
  • 15. Admission rates and defensibility ratings, by item. Note: Defensibility ratings were provided by respondents who admitted to having engaged in the given behavior. Item Control (%) Bayesian Truth Odds Ratio Two-tailed p Mean defensibility Serum (%) (Likelihood ratio) (SD) 0=Indefensible 1=Possibly defensible 2=Defensible In a paper, failing to report all of a study's dependent measures. Deciding whether to collect more data after looking to see whether the results were significant. In a paper, failing to report all of a study's conditions. Stopping collecting data earlier than planned because one found the result that one had been looking for.* In a paper, 'Rounding off' a p value (e.g. reporting that a p value of .054 is less than .05) In a paper, selectively reporting studies that 'worked.' *Difference between experimental conditions significant at alpha ≤ 0.005
  • 16. Admission rates and defensibility ratings, by item. Note: Defensibility ratings were provided by respondents who admitted to having engaged in the given behavior. Item Control (%) Bayesian Truth Odds Ratio Two-tailed p Mean defensibility Serum (%) (Likelihood ratio) (SD) 0=Indefensible 1=Possibly defensible 2=Defensible Deciding whether to exclude data after looking at the impact of doing so on the results. In a paper, reporting an unexpected finding as having been predicted from the start.* In a paper, claiming that results are unaffected by demographic variables (e.g. gender) when one is actually unsure (or knows that they do). Falsifying data. *Difference between experimental conditions significant at alpha ≤ 0.005
  • 17. Admission rates and defensibility ratings, by item. Items are listed in decreasing order of judged defensibility. Note: Defensibility ratings were provided by respondents who admitted to having engaged in the given behavior. Item Control (%) Bayesian Truth Odds Ratio Two-tailed p Mean defensibility Serum (%) (Likelihood ratio) (SD) 0=Indefensible 1=Possibly defensible 2=Defensible In a paper, failing to report all of a study's 63.4 66.5 1.14 0.23 1.84 (.39) dependent measures. Deciding whether to collect more data after looking to see 55.9 58.0 1.08 0.46 1.79 (.44) whether the results were significant. In a paper, failing to report all of a study's 27.7 27.4 0.98 0.90 1.77 (.49) conditions. Stopping collecting data earlier than planned because 15.6 22.5 1.57 0.00 1.76 (.48) one found the result that one had been looking for.* In a paper, 'Rounding off' a p value (e.g. reporting 22.0 23.3 1.07 0.58 1.68 (.57) that a p value of .054 is less than .05) In a paper, selectively reporting 45.8 50.0 1.18 0.13 1.66 (.53) studies that 'worked.' *Difference between experimental conditions significant at alpha ≤ 0.005
  • 18. Admission rates and defensibility ratings, by item. Items are listed in decreasing order of judged defensibility. Note: Defensibility ratings were provided by respondents who admitted to having engaged in the given behavior. Item Control (%) Bayesian Truth Odds Ratio Two-tailed p Mean defensibility Serum (%) (Likelihood ratio) (SD) 0=Indefensible 1=Possibly defensible 2=Defensible Deciding whether to exclude data after looking at the impact 38.2 43.4 1.23 0.06 1.61 (.59) of doing so on the results. In a paper, reporting an unexpected finding as having 27.0 35.0 1.45 0.00 1.5 (.60) been predicted from the start.* In a paper, claiming that results are unaffected by demographic 3.0 4.5 1.52 0.16 1.32 (.60) variables (e.g. gender) when one is actually unsure (or knows that they do). Falsifying data. 0.6 1.7 2.75 0.07 0.16 (.37) *Difference between experimental conditions significant at alpha ≤ 0.005