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Enregistrement W2626665599 · doi:10.1177/0145482x1711100212

Beware of Intelligence Results Based on Common Verbal Tests

2017· article· en· W2626665599 sur OpenAlexaff
Valerie S. Morash, Amanda McKerracher

Notice bibliographique

RevueJournal of Visual Impairment & Blindness · 2017
Typearticle
Langueen
DomaineNeuroscience
ThématiqueTactile and Sensory Interactions
Établissements canadiensVancouver Island University
Organismes subventionnairesnon disponible
Mots-clésPsychologyVerbal reasoningCognitive psychologyIntelligence quotientDevelopmental psychologyCognition

Résumé

récupéré en direct d'OpenAlex

Intelligence (IQ) tests are used to determine a child's intellectual abilities relative to his or her age group. Results are used to diagnose learning disabilities, intellectual disabilities, and giftedness; and to inform psychoeducational interventions and student education plans. The majority of tasks on intelligence tests require vision, such as visual pattern recognition. Therefore, psychologists typically use verbal sections, especially vocabulary tests, to assess students who have visual impairments. In a recent study (Morash & McKerracher, 2016), we investigated whether a common vocabulary test produced scores from children with visual impairments that were reliable. We found that reliability was not high enough to be used for high-stakes decisions, such as determining diagnoses or educational programming. Therefore, we do not recommend common verbal tests developed for sighted children be used with children who have visual impairments. Practitioners need to be wary and watchful of any diagnoses based on inappropriate intelligence measures. Previously noted issues with sighted-normed verbal tests Prior to our study, other researchers had not considered whether administering common verbal tests to children with visual impairments may produce scores with low reliability (see, for example, Crepeau-Hobson & Vujeva, 2012; Nelson, Dial, & Joyce, 2002). Instead the literature noted that using only verbal tests neglects important nonverbal abilities, such as spatial reasoning, which results in an incomplete assessment of intellectual functioning (Bauman & Kropf, 1979; Dekker, 1993; Gutterman, Ward, & Genshaft, 1985; Lund, Miller, & Ganz, 2014; Miller & Skillman, 2003). In addition, scores on common verbal tests are compared to normative data (norms) from sighted children, which may not be appropriate (see, for example, Dekker, 1993; Hull & Mason, 1995; Tillman & Bashaw, 1968; Vander Kolk, 1977). Comparison to norms reveals whether the child scored below or above average for his age group, and by how much; resulting in an IQ score and possible diagnosis of learning disability, intellectual disability, or giftedness. However, children with visual impairments tend to score higher or lower than their sighted peers on many tasks, for reasons other than their intelligence. For example, they tend to score higher on tests of verbal working memory (see, for example, Hull & Mason, 1995), presumably due to daily practice using verbal working memory strategies, such as counting steps, to complete tasks without vision. Although scores may be inflated or deflated due to using sighted norms, it has been suggested that sighted-normed verbal tests can be useful in providing insight into the child's functioning relative to sighted peers (Dial & Dial, 2010), to track a child's performance over time, and to compare children with visual impairments to one another. Unfortunately, these uses are invalidated by low reliability. Low reliability of sighted-normed verbal tests Reliability refers to the consistency of test scores. Low reliability is a separate, and possibly more severe, problem than inflated or deflated scores. If test scores have low reliability, an unacceptably large part of the score is due to random error--as if a coin flip determines a large part of a child's score and diagnosis. Scores with low reliability have limited value for comparing performance over time and across children, since psychologists cannot trust that scores reflect meaningful variations instead of random errors. Although common verbal tests produce scores with good reliability for sighted children, they are not guaranteed to do so with children who have visual impairments (Loevinger, 1957). It is not unreasonable to expect differential functioning, because children who have visual impairments can experience atypical conceptual and semantic development (see, for example, Pring, Freestone, & Katan, 1988). …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,152
Score d'incertitude au seuil0,570

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,085
Tête enseignante GPT0,411
Écart entre enseignants0,326 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations2
Publié2017
Routes d'admission1
Résumé présentoui

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