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A comparison of intellectual assessments over video conferencing and in‐person for individuals with ID: preliminary data

2010· article· en· W1602077949 on OpenAlexaff
Valerie Temple, Colin Drummond, S. Valiquette, Emöke Jozsvai

Bibliographic record

VenueJournal of Intellectual Disability Research · 2010
Typearticle
Languageen
FieldMedicine
TopicDown syndrome and intellectual disability research
Canadian institutionsSurrey Place Centre
Fundersnot available
KeywordsWechsler Adult Intelligence ScaleTest (biology)PsychologyIntellectual disabilityIntelligence quotientVideoconferencingClinical psychologyScale (ratio)Test scoreAudiologyDevelopmental psychologyCognitionMedicinePsychiatryStandardized testMultimediaComputer science

Abstract

fetched live from OpenAlex

BACKGROUND: Video conferencing (VC) technology has great potential to increase accessibility to healthcare services for those living in rural or underserved communities. Previous studies have had some success in validating a small number of psychological tests for VC administration; however, VC has not been investigated for use with persons with intellectual disabilities (ID). A comparison of test results for two well known and widely used assessment instruments was undertaken to establish if scores for VC administration would differ significantly from in-person assessments. METHOD: Nineteen individuals with ID aged 23-63 were assessed once in-person and once over VC using the Wechsler Abbreviated Scale of Intelligence (WASI) and the Beery-Buktenica Test of Visual-Motor Integration (VMI). RESULTS: Highly similar results were found for test scores. Full-scale IQ on the WASI and standard scores for the VMI were found to be very stable across the two administration conditions, with a mean difference of less than one IQ point/standard score. CONCLUSION: Video conferencing administration does not appear to alter test results significantly for overall score on a brief intelligence test or a test of visual-motor integration.

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)0.009
metaresearch head score (Gemma)0.051
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research 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 score0.219
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.051
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.003
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.296
GPT teacher head0.518
Teacher spread0.222 · 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

Citations48
Published2010
Admission routes1
Has abstractyes

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