Title: Controversies in Assessment
1Controversies in Assessment
- Clinical vs. statistical prediction
- Validity of projective techniques
- Attention confined solely to Rorschach,
especially Exners Comprehensive System for
scoring interpreting Rorschach
2CLINICAL vs. STATISTICAL PREDICTION
3Stages 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
4Data 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
5One 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
6How 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?
7Studies 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
8Post-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?)
9Grove 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.)
10Why 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
11VALIDITY OF RORSCHACH
12History 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
13Rorschach 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
14John 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
15Exners 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
16Exners 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)
17Exner 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.
18Cracks 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
19Cracks 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
20More 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
21Early 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
22Early 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
23Early 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
24Recent 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
25Consensus 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