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Record W2074563760 · doi:10.1002/jclp.20725

A comparison of the millon behavioral medical diagnostic and millon behavioral health inventory with medical populations

2010· article· en· W2074563760 on OpenAlexaff
Edward A. Wise, David L. Streiner

Bibliographic record

VenueJournal of Clinical Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicPersonality Disorders and Psychopathology
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMillon Clinical Multiaxial InventoryPsychologyTest validityInternal consistencyPersonalityClinical psychologyNormativePsychometricsReliability (semiconductor)Personality Assessment InventoryMinnesota Multiphasic Personality InventoryApplied psychologyPersonality disordersSocial psychology

Abstract

fetched live from OpenAlex

There is a lack of normative data on broadband omnibus types of personality tests with medical populations. In fact, the only two tests normed on medical populations are the Millon Behavioral Medicine Diagnostic (MBMD) and the Millon Behavioral Health Inventory (MBHI). The internal consistency, test-retest reliabilities, and validity studies of these instruments are reviewed and compared in an effort to aid clinicians in discerning their relative psychometric strengths and weaknesses. Due to the lack of validity studies with the MBMD and the fact that reliability limits the ceiling of validity coefficients, the MBMD has yet to meet the challenges it was designed to meet. Implications for practice are addressed.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.270
GPT teacher head0.598
Teacher spread0.329 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2010
Admission routes1
Has abstractyes

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