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Record W2907895817 · doi:10.1044/2018_ajslp-18-0048

A Comment on Test Validation: The Importance of the Clinical Perspective

2019· article· en· W2907895817 on OpenAlexaff
Olivia Daub, Elizabeth Skarakis‐Doyle, Marlene Bagatto, Andrew M. Johnson, Janis Oram Cardy

Bibliographic record

VenueAmerican Journal of Speech-Language Pathology · 2019
Typearticle
Languageen
FieldPsychology
TopicLanguage Development and Disorders
Canadian institutionsWestern University
Fundersnot available
KeywordsTest (biology)Perspective (graphical)ConversationStandardized testField (mathematics)Language assessmentClassical test theoryPsychologyProcess (computing)Product (mathematics)Computer scienceApplied psychologyItem response theoryPsychometricsArtificial intelligenceClinical psychologyPedagogyMathematics education

Abstract

fetched live from OpenAlex

Purpose The misuse of standardized assessments has been a long-standing concern in speech-language pathology and traditionally viewed as an issue of clinician competency and training. The purpose of this article is to consider the contribution of communication breakdowns between test developers and the end users to this issue. Method We considered the misuse of standardized assessments through the lens of the 2-communities theory, in which standardized tests are viewed as a product developed in 1 community (researchers/test developers) to be used by another community (frontline clinicians). Under this view, optimal test development involves a conversation to which both parties bring unique expertise and perspectives. Results Consideration of the interpretations that standardized tests are typically validated to support revealed a mismatch between these and the interpretations and decisions that speech-language pathologists typically need to make. Test development using classical test theory, which underpins many of the tests in our field, contributes to this mismatch. Application of item response theory could better equip clinicians with the psychometric evidence to support the interpretations they desire but is not commonly found in the standardized tests used by speech-language pathologists. Conclusions Advocacy and insistence on the consideration of clinical perspectives and decision making in the test validation process is a necessary part of our role. In improving the nature of the statistical evidence reported in standardized assessments, we can ensure these tools are appropriate to fulfill our professional obligations in a clinically feasible way.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.296
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.352
Teacher spread0.335 · 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

Citations14
Published2019
Admission routes1
Has abstractyes

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