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Emilys Experiment

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Rebecca Long, a skeptic, did a replication of Emily's experiment ... Probability Emily's data contrived/cooked/fake = 1.0 if Long's data is an accurate success rate ... – PowerPoint PPT presentation

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Title: Emilys Experiment


1
Emilys Experiment
Drawing by Pat Linse, Skeptics Society
2
A SKEPTICAL THINKER LOOKS AT SKEPTICS WORK
PRODUCTS A RE-ANALYSIS OF EMILY ROSAS
THERAPEUTIC TOUCH STUDY DATA
  • Australian College of Holistic Nurses
  • 5th INTERNATIONAL CONFERENCE 2002
  • Touching the Spirit
  • Ancient Wisdom in the Art and Science of Future
    Nursing
  • Hahndorf, SA Australia
  • Thomas Cox RN, MS, MSW, MS (Nursing)
  • Doctoral Candidate
  • Virginia Commonwealth University
  • School of Nursing
  • November, 2002

3
OBJECTIVES
  • Review Emily's Experiment
  • Review the conclusions of the authors
  • Review the data
  • Re-analyze the data
  • Compare the conclusions to the data
  • Do a power analysis - was the experiment ever
    intended to be fair?
  • Questions maybe answers

4
Methodology of Emily's "Experiment"
  • Practitioners recruited for 4th graders science
    project
  • Self-described TT practitioners - no verification
    of TT credentials
  • Willing to engage in "childish" research project
  • Broad range of professions - phlebotomist?
  • Not clearly tied to the way TT is practiced
    testing method violated most TT assumptions
  • Not clearly tied to nursing too few nurses
    among participants to draw inferences about nurses

5
Emilys Experiment
Drawing by Pat Linse, Skeptics Society
6
ETHICAL ISSUES
  • Guidelines for human subjects research
  • Informed consent
  • Institutional review board
  • Intent to embarrass participants
  • Participants deceived about project
  • Who was doing it
  • Why it was being done
  • What would happen with results
  • Why would failures from first phase, confronted
    by researchers, agree to taping for a TV show?
  • Failure to report results that would lead an
    objective, ethical, researcher to reject random
    guessing hypothesis

7
METHODOLOGICAL ISSUES
  • Positioning of subjects
  • inherently uncomfortable position
  • not free to move or explore HEF
  • subjects, not researcher blinded
  • Imagine testing soccer players skill this way
  • Player has their eyes covered
  • Wear leg straps so they cant move freely
  • Spin them around - dont let them see goal
  • Miss the goal ? Failure no skill
  • Combine test scores across players

8
ASSERTIONS MADE BY THE AUTHORS
  • Left hand vs Right hand performance is
    statistically insignificant
  • 123 or 122 (???) successes in 280 trials were
    consistent with random guessing
  • TT is ineffective and should not be used by
    nurses
  • Their testing procedures were fair
  • Skills do not improve over time

9
RE-ANALYSIS OF THE ROSA DATA 1
  • Is the second phase data, the phase videotaped
    for the Scientific American series, hosted by
    Alan Alda, consistent with random guessing
  • One participant scores 1 unlikely though in
    an unexpected direction
  • Far too many of the participants score 5 or less
    12/13
  • The average (0.408 correct) for all the 130
    trials in phase 2 is unlikely under random
    guessing as the authors own test, reported in
    JAMA, showed but the authors ignored this
    evidence in their conclusion

10
EMILY ROSAS PHASE I RESULTS
RESULTS ARE CLEARLY SYMMETRIC AROUND 5
11
EMILY ROSAS PHASE II RESULTS
RESULTS ARE CLEARLY NOT SYMMETRIC AROUND
5 Authors should have been highly suspicious of
their results Never should have published such
questionable results
12
EMILY ROSAS COMBINED RESULTS
RESULTS ARE NOT CLEARLY SYMMETRIC AROUND
5 Authors should have been suspicious of their
results Never should not have published such
strong conclusions
13
PHASE II RESULTS
Successes 53 Trials 130 Success
Proportion 0.408 P(Success chances in 100 that random guessers would score
so low
14
WHAT THE DATA TELL US
  • Authors confidence interval excludes n 5.0 the
    expected number of successes in 10 trials for
    random guessing
  • Better success rate estimate is lower than theirs
    - .426 and even less plausible
  • How to calculate a better point estimate
  • 21 independent estimates of success rate
  • some based on 10, some 20 and one 30 repetitions
  • combine these into a lower variance estimate
  • t value 2.47 -- an unlikely result for binomial
    trials
  • why did authors conclude consistency with
    guessing?
  • Data screaming - Something is Wrong
  • Authors should probably have been trying to hide
    this data not publishing it

15
RE-ANALYSIS OF THE ROSA DATA 2
  • The hand data
  • Hand preference is not a TT principle it may
    have been a total fabrication by the authors
  • No need to test hand data, Authors
  • created a need to test,
  • produced the data for the test,
  • failed to test it correctly,
  • misrepresented the implications of the data
  • The data are inconsistent with their conclusions
  • The Chi-square Fishers Exact tests are
    significant, the authors misrepresented a major
    conclusion that they never should have even
    explored

16
CHI-SQUARE TEST DATA
Chi Square 3.99
17
WHAT THE DATA TELL US 4
  • Authors No difference between hands
  • Contingency table analysis Chi-square 3.99
  • Chi-square test is significant
  • Authors misrepresent another significant result.
    Why?

18
WHAT THE DATA TELL US 5
  • Rebecca Long, a skeptic, did a replication of
    Emilys experiment
  • Longs results suggest that the ratio of correct
    to trials should have been more like 70 75
  • Using Longs data as the probability of success
    in Emilys study PEmilys dataLong data
    0.0
  • Probability Emilys data contrived/cooked/fake
    1.0 if Longs data is an accurate success rate
  • Longs results are also unlikely if Emilys data
    is accurate i.e. two skeptics do essentially
    the same study and not only do they not agree
    their studies are inconsistent with each other

19
THE AUTHORS SHOULD HAVE CONSIDERED
  • Subjects do not need to score more than 50 to
    demonstrate a skill
  • Random guessing will average 50 over the long
    run - results should have been about 50 in these
    trials - not so low
  • Instances where less than 50 is OK
  • stock broker - 20 winners might do well
  • cure rates - broad-spectrum antibiotic Tx for
    earache
  • 50 could be very, very good
  • Larry Bird career lifetime field shooting 49.6
  • The value of a skill is determined not just by
    how frequently it is demonstrated but by the
    difference in well-being that results the
    Theory of Utility in economics

20
Authors Do Not Consider Alternative Explanations
  • May be just a calibration problem could test
    subjects learn how to report results correctly?
  • Results are not consistent with random guessing
    they actually support TTPs
  • Authors believe TTPs should consider that they
    are randomly guessing but they do not feel the
    need to consider that TTPs are not randomly
    guessing despite their own data

21
Concerns about Authors Conclusions Data
  • Skill with hands is significant
  • Overall results inconsistent with random guessing
  • Should not have reported/published their results
  • Are authors credible?
  • Do authors have integrity? Why have they not
    withdrawn this article?
  • This study will probably never be replicated

22
NEXT STEPS
  • To be taken seriously this study would have to
    be replicable
  • Would have to conform to TT principles and
    procedures centering is an essential, aspect
  • Researcher bias must be controlled skeptics
    are too biased and, since Rosa, too ethically
    suspect to do such research
  • Participants may need to be trained to report
    findings correctly
  • Has to be a search to identify practitioners who
    perform well again, skeptics cannot do this
    because they want to look for people who will
    fail, not succeed (Long study ignored success)
  • Have to improve methods over time - Cant jump
    the gun on publishing findings either in support
    or contrary
  • If we can find subjects who do well in this sort
    of procedure
  • Study what they do and how they do it
  • Use information in training people to use TT
  • Use information in evaluating competency?

23
CONCLUDING REMARKS 1
  • Authors have shown a significant non-detection
    rate
  • JAMA should withdraw support for articles
    conclusions
  • Unlikely JAMA did any statistical review at all
  • What happened at JAMA since article was published
  • Editor of JAMA fired
  • Guidelines for authorship radically changed
  • Authors cautioned to be prepared to defend their
    work
  • Authors should explain why it happened
  • They seem to think that acceptance of the article
    by JAMA is the only criteria for evaluating merit
    refuse to discuss it
  • Authors refuse to discuss discrepancies -
    unscientific

24
CONCLUDING REMARKS 2
  • Serious study should proceed without skeptical
    assistance or interference
  • The authors work cannot be replicated and nobody
    should even try
  • This type of research needs to be a search for
    excellence not an effort to disprove by finding
    that no average effect exists one actual person
    who could do this, as occurred in the Long study,
    would provide compelling evidence
  • Efforts to control against successful guessing
    create as many problems as they solve must be
    more creative than the authors
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