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Bootstraps taxometrics: Solving the classification problem in psychopathology
Abstract
Classification in psychopathology is a problem in applied mathematics; it answers the empirical question "Is the latent structure of these phenotypic indicator correlations taxonic (categories) or nontaxonic (dimensions, factors)?" It is not a matter of convention or preference. Two taxometric procedures, MAMBAC and MAXCOV-HITMAX, provide independent tests of the taxonic conjecture and satisfactorily accurate estimates of the taxon base rate, the latent means, and the valid and false-positive rates achievable by various cuts. The method requires no gold standard criterion, applying crude fallible diagnostic "criteria" only in the phase of discovery to identify plausible candidate indicators. Confidence in the inference to taxonic structure and numerical accuracy of latent values is provided by multiple consistency tests, hence the term coherent cut kinetics for the general approach. Further revision of diagnostic systems should be based on taxometric analysis rather than on committee decisions based on clinical impressions and nontaxometric research.
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“Satisfying these requirements, for the four indicators, mean full sample r = 0.37 and mean taxon and complement rs ≤ 0.06.”
From A Latent Structure Analysis of Cognitive Vulnerability to Depression in Adolescence (2019) · cites this paper as Meehl, 1995
In the citing paper
“This condition was satisfied in the current study (for all indicators, d ≥ 1.25)2.”
From A Latent Structure Analysis of Cognitive Vulnerability to Depression in Adolescence (2019) · cites this paper as Meehl, 1995
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“Walters (2011) used the taxometric method (Meehl, 1995) to assess whether Moffitt’s (1993) theory was a true taxonomy by examining previously collected maternal ratings of childhood conduct disorder, hyperactivity, and oppositional defiant disorder in individuals who later reported engaging in…”
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“Critics often associate construction with arbitrariness and bad science (Bentall 1992, p.24; Burrows 2010, p.252; Tucker 1998, p.159, for further discussion from non-critics see Beebee & |Sabbarton-Leavy 2010, p.16; Meehl 1995, p.268).”
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“However, in the current study, the analytic goal does not revolve around identifying “individual” differences, but rather it is to identify theoretically meaningful and consistent response “patterns,” which are then used to characterize mutually exclusive subgroups (e.g., Meehl, 1992, 1995).”
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“Work on classification problems in the study of such postulated entities as ADHD and LD would likely profit greatly from the use of methods that Meehl and colleagues have developed for determining taxometric status and identifying categories (eg, see Meehl, 1995 ; Meehl & Yonce, 1994 1996 ; Waller & Meehl, 1998 ; Wall…”
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“Other voices have emerged (Butler, 1999; Child, 2000; Livesley, 1998; Meehl, 1995) which, together with our own, offer the possibility of a more fundamental shift in taxonomy than has hitherto been possible.”
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“Meehl (1995) introduced a fundamental feature into modern taxometric analyses.”
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“Meehl (1995) recommended nuisance covariance levels below 0.30.”
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“(2012) suggests that the analysis of CPTSD as a candidate for inclusion in the DSM5 (and by extension the ICD-11) is best examined using the notion of construct validity (Cronbach & Meehl, 1955). This is a debatable proposition because this implies that PTSD is a construct, like intelligence, not a diagnostic entity,…”
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“First, more than 300 participants are needed (Meehl, 1995); the present sample consisted of 757 participants.”
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“Person-oriented approaches have been proposed due to their strength in emphasizing the individual as a whole, not just a linear combination of variables (Bergman & Magnusson, 1997), being conducive to a fuller understanding of the complexity and range of child behaviors (Meehl, 1995; Speece & Cooper, 1991), and provid…”
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“Specifically, taxometrics is a family of statistical and graphical techniques designed to evaluate whether a construct of interest is dichotomous or continuous in nature (Meehl, 1995).”
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“First, sample size should be at least 300 (Meehl, 1995) and probably closer to 500 (Ruscio et al.”
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“Data with base rates lower than 0.5 are suboptimal for detecting a taxon (Meehl, 1995).”
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“There has been considerable speculation in the taxometric literature that taxon base rate estimates might be helpful as a kind of consistency test (e.g., Meehl, 1995).”
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“A recent review by Lubke and Miller (2015) cautioned that both theory and prior simulation results point to a general sensitivity of mixture models (as well as taxometric techniques; Meehl, 1995) to the characteristics of the items included in the analysis.”
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“Taxometric analyses require valid indicators that demonstrate at least 1.25 standard deviation units (SDU) of separation between taxon and complement groups (Meehl, 1995).”
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Metadata
- Authors
- Meehl, P. E.
- Affiliations
- University of Minnesota (US)
- Corresponding author
- Meehl, Paul E.
- Venue
- American Psychologist
- Published
- 1995-04
- Volume
- 50
- Issue
- 4
- Pages
- 266-275
- ISSN
- 0003-066X (ISSN-L)
- 1935-990X
- OpenAlex
- W2081843991
- Cited by
- 702
- References
- 0
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 22 · 2023: 8 · 2022: 5 · 2021: 20 · 2020: 12 · 2019: 20 · 2018: 19 · 2017: 50 · 2016: 25 · 2015: 30 · 2014: 25 · 2013: 18 · 2012: 25
- FWCI
- 17.46
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Psychologist (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
- Keywords
- psychopathology classification, diagnostic criteria, cut-off values, latent structure
- MeSH terms
- Mental Disorders, Humans, Psychiatric Status Rating Scales
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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