Paul Meehl as methodologist-philosopher of science: The formulation of metascience.

Paul Meehl's contributions to methodology and the philosophy of science extend well beyond his widely known writings in such areas as construct validity and statistical significance testing. I describe one of Meehl's less well-known, but potentially most important, methodological undertakings: his work on metascience, or the science of science. Metascience could ultimately revolutionize our conceptualizations and understanding of science and provide considerable help to practicing scientists and scientific endeavors, including efforts to advance the development and appraisal of theories in psychology. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Meehl's contribution to clinical versus statistical prediction.

Paul E. Meehl's work on the clinical versus statistical prediction controversy is reviewed. His contributions included the following: putting the controversy center stage in applied psychology; clarifying concepts underpinning the debate (especially his crucial distinction between ways of gathering data and ways of combining them) as well as establishing that the controversy was real and not concocted, analyzing clinical inference from both theoretical and probabilistic points of view, and reviewing studies that compared the accuracy of these 2 methods of data combination. Meehl's (1954/1996) conclusion that statistical prediction consistently outperforms clinical judgment has stood up extremely well for half a century. His conceptual analyses have not been significantly improved since he published them in the 1950s and 1960s. His work in this area contains several citation classics, which are part of the working knowledge of all competent applied psychologists today. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Paul E. Meehl (1920-2003).

Presents the obituary for Paul E. Meehl (1920-2003), one of the most eminent psychologists of the 20th century, who helped to shape psychology in a career that spanned more than 60 years. Dr. Meehl's intellectual contributions ranged over many areas, including clinical versus actuarial judgment, research on the Minnesota Multiphasic Personality Inventory, learning theory, psychoanalysis, and the genetic basis of schizophrenia. Dr. Meehl received considerable recognition for his contributions to academic and applied psychology. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Award for distinguished professional contributions to knowledge: Paul E. Meehl.

Recognizing the diversity of roles and activities in which many professional psychologists are engaged, beginning in 1979, Professional Awards have been presented to individual members of the Association whose distinguished contributions have served to advance psychology as a profession in the areas of knowledge, professional practice, and public service. In 1993, the recipient of the Award for Distinguished Professional Contributions to Knowledge was Paul E. Meehl. Meehl's citation, biography, and selected bibliography are presented here. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Schizotaxia, schizotypy, and schizophrenia: Paul E. Meehl's blueprint for the experimental psychopathology and genetics of schizophrenia.

Paul E. Meehl proposed a model of the cause and pathogenesis of schizophrenia and related states in the early 1960s (Meehl, 1962), which he later revised in 1990 (Meehl, 1990). His model emphasized a genetically influenced aberration in neural transmission that could eventuate in clinical schizophrenia, nonpsychotic schizotypic states, or apparent normalcy depending on the coexistence of other factors. His model embodied the core ideas of the diathesis-stressor framework that would come to dominate experimental and developmental psychopathology for the next 40 years. The author reviews Meehl's model of schizotaxia, schizotypy, and schizophrenia and reviews and clarifies some frequent misunderstandings of the model. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Paul Meehl: Past and future lessons for the field.

Paul Everett Meehl (1920-2003) was an intellectual giant who made important contributions to several fields of thought. The present special section focuses on his contributions to psychopathology, personality, and methods of psychological inquiry. The editors identified six specific topic areas within these broad domains and invited a specialist on each topic to write a discussion. These authors were invited to review Meehl's contributions and clarify their historical significance and current relevance. In addition, two authors contributed personal perspectives on Meehl, revealing that Meehl profoundly affected psychological science by routes other than his publications and formal talks. Rather, his voluminous correspondence and his personal relationships allowed him to engage numerous colleagues in his passionate pursuit of ideas and insights. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

More theoretical risks.

Responds to the comments by F. Paniagua ("Kuhn's paradigmatic view of psychology and Skinner's theory of behavior." Theoretical and Philosophical Psychology, 11, 1991, 122-125) on the current author's original article, "Meehl revisited: A look at paradigms in psychology" (Theoretical and Philosophical Psychology 9, 1989, 30-36), in which the current author reviewed Paul Meehl's (see record 1979-25042-001) famous article "Theroetical risks and tabular asterisks: Sir Karl; Sir Ronald, and the slow progress of soft psychology." According to the current author, Paniagua takes exception to two casual remarks made in the current author's paper, one about Kuhn and the other about Skinner, but neither remark is related to the actual thesis. Paniagua's comments do not carry the substantive aspects of the article forward, which is unfortunate asserts the current author, because the theory discussed therein may prove useful in understanding the nature and evolution of psychology. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Another look at Meehl, Lakatos, and the scientific practices of psychologists.

This article examines current research methodology in psychology in the context of Serlin and Lapsley's response to Meehl's critiques of the scientific practices of psychologists. The argument is made that Serlin and Lapsley's appeal to Lakatos's philosophy of science to defend the rationality of null hypothesis tests and related practices misrepresents that philosophy. It is demonstrated that Lakatos in fact considered psychology an extremely poor science lacking true research programs, an opinion very much in line with Meehl's critique. The present essay speculates on the reasons for Lakatos's negative opinion and reexamines the role of null hypothesis tests in relation to the quality of theories in psychology. It is concluded that null hypothesis tests are destructive to theory building and directly related to Meehl's observation of slow progress in soft psychology. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Confirming the latent structure and base rate of schizotypy: A taxometric analysis.

P. E. Meehl's (1962, 1990) model of schizotypy and the development of schizophrenia implies that the structure of liability for schizophrenia is dichotomous and that a "schizogene" determines membership in a latent class, or taxon (Meehl and R. R. Golden, 1982). The authors sought to determine the latent structure and base rate of schizotypy. They applied Meehl's (1973) MAXCOV-HITMAX taxometric analytic procedures to a subset of items from the Perceptual Aberration Scale (PAS; L. J. Chapman et al, 1978), a prominent psychometric index of schizotypy, derived from a randomly ascertained nonclinical sample (N?=?1,093). The results, in accordance with Meehl's conjectures, strongly suggest that schizotypy, as assessed by the PAS, is taxonic at the latent level with a general population taxon base rate of approximately .10. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

The taxonicity of schizotypy: A replication.

P. E. Meehl's model (1962, 1990) of schizotypy and the development of schizophrenia implies that the structure of liability for schizophrenia is dichotomous, hypothesizing that a "schizogene" determines one's membership in a latent class (or taxon; P. E. Meehl & R. R. Golden, 1982). The present study sought to replicate earlier findings concerning the taxonic latent structure and general population base rate of schizotypy (M. F. Lenzenweger & L. Korfine, 1992). P. E. Meehl's (1973; P. E. Meehl & R. R. Golden, 1982) MAXCOV-HITMAX taxometric analytic procedures were applied to a subset of items from the Perceptual Aberration Scale (PAS; L. J. Chapman, J. P. Chapman, & M. L. Raulin, 1978), a prominent psychometric index of schizotypy, derived from a new randomly ascertained nonclinical university sample (N?=?1,646). Consistent with the authors' previous results as well as Meehl's conjectures, the data strongly suggest that schizotypy, as assessed by the PAS, is taxonic at the latent level with a low general population taxon base rate (i.e.,     

High school yearbooks: Further explication and reply to Meehl.

Responds to P. Meehl's (see pa, vol. 46:3448) criticisms with a further explication in terms of case matching and statistical suppression as methods of controlling for trait-irrelevant variance in archival measures. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Meehl revisited: A look at paradigms in psychology.

Comments on Meehl's (see record 1979-25042-001) article on the nature of psychological debates. The author is in agreement with Meehl that there is a need to reconsider how research is designed and carried out within psychology. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Taxometrics in Psychopathology Research: An Introduction to Some of the Procedures and Related Methodological Issues.

This article introduces a special section on the use of taxometrics to examine the categorical versus the dimensional structure of various forms of psychopathology. Paving the way into the special section, this introduction briefly describes 3 taxometric methods--mean above minus below a sliding cut (MAMBAC), maximum covariation (MAXCOV), and maximum eigenvalue (MAXEIG)--and discusses possible threats to statistical conclusion validity that often emerge when such techniques are applied in psychopathology research. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

What's in a Taxon?

Whether taxometrics yields inferential knowledge to something latent is partly but not wholly a semantic question. Although the single variables are manifest indicator scores of individuals, the statistics computed from them via postulates of the formalism are not mere data summaries and will be incorrect or meaningless if the structural conjectures are false. The unidirectional derivability from postulates to data relations supplies the taxonic inferences' surplus meaning that constitutes conventional psychometric meaning of latency (e.g., latent class analysis). Surplus meaning beyond the purely mathematical may be provided by interpretive text attributing unobserved attributes or causal origin to taxon members. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Rationality in psychological research: The good-enough principle.

Reexamines methodological and procedural issues raised by P. Meehl (1967; see also PA, Vol 62:5042) that question the rationality of psychological inquiry. Issues concern the asymmetry in theory testing between psychology and physics and the slow progress observed in psychological research. A good-enough principle is proposed to resolve Meehl's methodological paradox, and a more powerful reconstruction of science developed by I. Lakatos (1978) is suggested to account for the actual practice of psychological researchers. (37 ref) (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Pseudotaxonicity in MAMBAC and MAXCOV analyses of rating-scale data: Turning continua into classes by manipulating observer's expectations.

Taxometric procedures such as mean above minus below a cut and maximum covariance can determine whether a trait is distributed as a discrete latent class. These methods have been used to infer taxonic structure in several personality and psychopathology constructs, often from analyses of rating scale data. This is problematic given (a) well established biases in ratings, (b) the human tendency to think categorically, and (c) implicit typological models of personality and psychopathology among expert raters. Using an experimental method in which the cognitive sets of raters were manipulated as dimensional versus categorical, it is demonstrated that pseudotaxonicity can be created readily with rating scale measures. This suggests that researchers avoid an exclusive reliance on rating scales when conducting taxometrics investigations. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Clinical and statistical prediction: A reformulation and some new data.

A discussion of the controversy aroused by P. E. Meehl's Clinical Versus Statistical Prediction, in which the writer analyzes the predictive process and suggests the remedies as he sees them. "We should try to find the optimal combination of actuarially controlled methods and sensitive critical judgment for any particular predictive enterprise… . We can do this only if clinically and statistically oriented workers… seek to learn from each other." 16 references. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Taxometrics and the revision of diagnostic criteria.

Comments on P. E. Meehl's (see record 1995-29291-001) article describing taxometric (mathematical) procedures used to classify psychiatric patients. Garb claims that Meehl did not cite studies that do not support the use of taxometric procedures, nor discuss how taxometric methods can be used to revise diagnostic criteria. To use taxometric methods, one needs to be correct in conjecturing the existence of a latent taxon, only it is very hard to know for sure when a single taxon exists. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Nonlinear models of clinical judgment: Meehl's data revisited.

Previous attempts to detect nonlinearity in clinical judgments have not succeeded because of a lack of good nonlinear models. Much research in this area was based on data collected by P. Meehl, which include clinicians' judgments of mental disorder on the basis of MMPI profiles. In this article, Meehl's data are reanalyzed using several versions of the scatter model in which nonlinearity is represented by the within profile scatter(s) of the cues. The author finds that these versions give a better fit to the data than does the linear model. He also finds systematic patterns of nonlinearity that lend themselves to psychological interpretation. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

MAXCOV pseudotaxonicity.

Responds to M. B. Miller's (see record 83-32894) comments on P. E. Meehl's (see record 1995-29291-001) discussion of the use of taxometric procedures for classification in psychopathology. Meehl defends the MAXCOV-HITMAX procedure, stating that, mathematically, deviations from the classical psychometric model can produce a single pseudotaxonic MAXCOV graph but not panels of several clearly taxonic graphs that also satisfy multiple consistency tests. Meehl agrees with Miller that the dichotomous indicator variant of MAXCOV needs further study. (PsycINFO Database Record (c) 2010 APA, all rights reserved)