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Record W2896698350 · doi:10.1080/09602011.2018.1531767

The construct validity of a new screening measure of functional cognitive ability: The menu task

2018· article· en· W2896698350 on OpenAlexaboutno aff
Muhammad O. Al‐Heizan, Gordon Muir Giles, Timothy Wolf, Dorothy Farrar Edwards

Bibliographic record

VenueNeuropsychological Rehabilitation · 2018
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsnot available
Fundersnot available
KeywordsConstruct validityPsychologyMontreal Cognitive AssessmentCognitionConstruct (python library)NeuropsychologyExecutive functionsPredictive validityCriterion validityExternal validityPsychometricsDevelopmental psychologyClinical psychologyCognitive impairmentPsychiatrySocial psychology

Abstract

fetched live from OpenAlex

This study evaluated the construct validity of the Menu Task (MT): a new performance-based screening measure of functional cognition. We enrolled 114 community dwelling adults (55 years or older) in the study: all participants completed the MT and four other neuropsychological screening measures. Construct validity was evaluated using a three-step hierarchical regression model with the MT as the dependent variable. Demographic control variables were entered at step 1, followed by the Brief Interview of Mental Status (BIMS), and the Trail Making Test A (TMT A) at step 2, and finally TMT B and the Montreal Cognitive Assessment (MoCA) at step 3. It was hypothesised that measures sensitive to executive functioning (TMT B and MoCA) would significantly explain MT performance after controlling for demographic variables and adding measures of cognitive function to the model, providing additional evidence for construct validity of the MT. All three steps of the model were statistically significant (p < 0.01). Inclusion of measures sensitive to executive function in step 3 explained 30% of variability in MT score (adjusted R2 = 0.30). Our findings provide further empirical support for the construct validity of the MT, and offer implications for the use of the MT in acute and post-acute care settings.

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)0.002
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.466
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.070
GPT teacher head0.365
Teacher spread0.295 · 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

Citations18
Published2018
Admission routes1
Has abstractyes

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