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Controversies in Assessment

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Title: Controversies in Assessment


1
Controversies in Assessment
  • Clinical vs. statistical prediction
  • Validity of projective techniques
  • Attention confined solely to Rorschach,
    especially Exners Comprehensive System for
    scoring interpreting Rorschach

2
CLINICAL vs. STATISTICAL PREDICTION
3
Stages of Prediction
  • Two serial stages of prediction/judgment must be
    sharply distinguished (Meehl, 1954)
  • Data gathering ( encoding)
  • Data combining
  • This literature is about data combining
  • Example predicting college GPA
  • Get SAT, high school GPA, recommend-ation
    letters, extracurricular activities
  • combine potentially conflicting information
    somehow, to yield single prediction

4
Data Combination Two Methods
  • Clinical (intuitive)
  • Formal, algorithmic, mechanical
  • Sometimes statistical formula
  • Sometimes actuarial table
  • Sometimes computer program, etc.
  • No necessary connection between kinds of data,
    and ways of combining the data

5
One Must Choose Between Methods
  • When you have to make a decision, the formula
    will sometimes give one prediction, and clinical
    judgment a different one
  • You cant follow both
  • Averaging the two predictions is just another
    kind of algorithmic prediction
  • Selectively overruling formula is a clinical
    methodbecause clinician has the last word

6
How to Choose a Method?
  • Use a different method for each caseBUT we dont
    know how to do this rationally, so this has to be
    rejected
  • ?Always use method with greatest long-run
    accuracy
  • So Which method gives greatest long-run
    accuracy?

7
Studies Reviews of Studies
  • Sarbin (1927) said a clerk with formula
    outperforms counselor did study of GPA that
    showed this
  • Meehl (1954) book reviewed 23 studies, almost
    uniformly favoring actuarial prediction
    tabulated studies again in 65
  • Holt 1958 conceptual response offered ? new data,
    cited ? studies on point

8
Post-Meehl Literature Reviews
  • Other reviews Sawyer (1966, also inter-ested in
    type of data being combined), Sines (1971),
    Wiggins (1981), Marchese (1992)
  • All concluded clinician does same as, or worse
    than, actuary, in (essentially) all studies
  • If conclusion is true, cheapness of actuarial
    approach generally argues for using it
  • But is the conclusion true? And if its typically
    true, is it always true? (Are there pockets of
    clinical expertise?)

9
Grove et al. Study
  • Many more studies (137 vs. 45, most before) that
    predicted human health or behavior
  • Meta-analysis methodology used
  • Results
  • 129/137 studies, actuarial prediction as good as
    or better than clinical prediction (9 hit rate)
  • 63 studies show actuarial superior (gt9)
  • 8 studies show clinician superior, none of which
    replicated each other (whats predicted, whos
    predicting, data used to predict, etc.)

10
Why Do Clinicians Persist?
  • Ignorance of literature
  • Immediate reinforcement (pay, prestige)
  • Lack of readily-to-hand mechanical prediction
    method for particular problem
  • Belief they can personally beat the actuary
  • Philosophical muddle-headedness about single-case
    probabilities

11
VALIDITY OF RORSCHACH
12
History of Rorschach in U.S.
  • Favored among clinicians since 1940s in U.S.
  • Deprecated by researchers from 1940s through
    1970s at least
  • Seven competing systems, differing even in
    administration methods Beck, Klopfer, Hertz,
    Piotrowski, Rapaport, Schafer

13
Rorschach Criticisms 1940s On
  • Unreliability of scores (especially ratio scores,
    e.g., CFFC Color-Form determinants)
  • Subjective scoring interpretation
  • Scores dependent on number of responsesthis
    cant be fixed with present instructions/
    stimulus set
  • Nonexistent norms
  • Most scores unvalidated/very poorly validated

14
John Exner
  • Many competing systems synthesized and replaced
    by Exners Comprehensive System (CS) in the 1970s
    based on his work starting in the 1950s
  • He brought out three-volume book in successive
    editions (now 3rd), dealing with adult (and
    later, adolescent) Rorschach interpretation

15
Exners Studies and Reputation
  • Hundreds of studies cited in his 3-vol. book
  • Many studies on CS in journals (mostly in one
    pro-Rorschach journal, Journal of Personality
    Assessment)
  • Conventional wisdom by 1980s Exner saved
    Rorschach from scientific graveyard by putting
    its scoring and interpretation on sound basis
  • CS became only Rorschach system taught in most
    accredited clinical programs

16
Exners Contributions
  • Makes administration, recording uniform
  • Makes scoring of some categories more reliable
  • Addresses some earlier Rorschach score
    criticisms, except
  • confounding of many scores with R (number of
    responses), but
  • this cant be fixed within existing Rorschach
    format (i.e., only 10 cards or so)

17
Exner Contributions, contd
  • Offers some normative data, but
  • sample not too large (about 700)
  • not a census-like sample, as with WAIS,
    Stanford-Binet, MMPI-2, etc.
  • unclear how sample was recruited
  • only selected summary statistics available on
    norm group members you cant check score
    distributions, etc.

18
Cracks in the Edifice
  • Wood, Nezworski, Stejskal noticed great majority
    of studies Exner cites in his books
  • Are written by him, and
  • Were never published in any peer-reviewed venue
  • Each investigator identifies an area (e.g.,
    narcis-sism) to review
  • Each independently writes to Exner for copies of
    the unpublished studies
  • No studies are sent

19
Cracks Widen, Let in Daylight
  • Requests repeated finally, assistant writes that
    she cant send Exners studies because the
    majority of these are not written in a
    publishable form. Instead, they usually include
    a brief statement concerning the methodology of
    the study handwritten on sheet of paper, or
    computer printout of analyses

20
More Bad News
  • Since then, Exner has also refused to let those
    outside circle of supporters see his raw
    normative data
  • Recently, it was disclosed that 221 (40) of his
    normative subjects were mistakenly duplicated in
    data set this wasnt detected for decades
  • Others community/normative samples (e.g.,
    Schaffer Erdbergs) dont resemble Exners for
    some key scoresExners norms con-siderably
    overpathologize patients

21
Early Rorschach Meta-Analyses
  • Parker, Hunsley Hanson (1976)
  • Method Find studies in two main journals for
    several years on WAIS, MMPI, Rorschachalmost all
    Rorschach studies from one specialty journal
  • Compare reliability, validity coefficients
    between instruments
  • Note Doesnt cover Exner system

22
Early Meta-Analyses, contd
  • Parker, et al. report conclusions based on
    selected studies (selection said not to have been
    based on study outcomes)
  • Rorschach as reliable as WAIS (!)a conclusion
    essentially no one believes
  • Rorschach as valid as MMPI (based on 5-study
    subset)
  • Wierzbicki chapter (mistakenly, in my opinion)
    lauds study

23
Early Meta-Analyses, contd
  • I wrote Parker for explanation of selection
    method. He referred me to Atkinson, who couldnt
    explain it precisely. I couldnt understand
    selection I couldnt replicate it
  • Garb, et al. (1998) correct Parker et al.s
    statistical errors, look at all studies,
    conclude
  • Avg. validity MMPI .39, Rorschach .21

24
Recent Meta-analyses
  • Hiller, et al. (1999) report average validities
    for new sample of MMPI Rorschach studies.
    These are not studies of the CS
  • .30 MMPI, .29 Rorschach
  • Garb, et al. correct Hiller, et al. statistics
  • .37 MMPI, .26 Rorschach

25
Consensus Conclusions
  • Neither Rorschach nor MMPI-2 very highly valid,
    on average
  • Validities vary, with a couple of Rorschach
    scores (e.g., non-CS Rorschach Prognostic Rating
    Scale) pretty valid (.7), many other score have
    near-zero validity
  • Most CS scores need more validation via well-
    designed studies in peer-reviewed journals
  • Norms could stand considerable improvement
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