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Record W4391816241 · doi:10.1080/09297049.2024.2304376

Measuring executive functioning with the Multidimensional Everyday Memory Ratings for Youth (MEMRY): concurrent validity with the BRIEF-2 in a large neurological and medical sample

2024· article· en· W4391816241 on OpenAlexaff
Brian L. Brooks, Sandra Mish, William S. MacAllister, Taryn B. Fay‐McClymont, Marsha Vasserman, Elisabeth M. S. Sherman

Bibliographic record

VenueChild Neuropsychology · 2024
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsUniversity of British Columbia, Okanagan CampusAlberta Children's HospitalUniversity of Calgary
FundersHealth Research
KeywordsPsychologyConcurrent validityWorking memoryExecutive functionsCognitionScale (ratio)Sample (material)Clinical psychologyDevelopmental psychologyCognitive skillCognitive psychologyPsychometricsPsychiatry

Abstract

fetched live from OpenAlex

Executive skills are critical cognitive skills for everyday functioning in children; accurate measurement using validated tools is thus important. The purpose of this study was to examine concurrent validity between the MEMRY Executive/Working Memory scale and the BRIEF2. Participants included a large pediatric clinical sample who completed parent (n = 567), teacher (n = 148), and self-report (n = 88) scales. All correlations were significant between the MEMRY Executive/Working Memory and the BRIEF2 Global Executive Composite, Cognitive Regulation Index, and Working Memory scale (all r’s > .80). Classification agreement metrics ranged from fair to excellent. This study provides evidence of strong concurrent validity of the MEMRY Executive/Working Memory scale as a brief, useful tool for assessing executive functioning using parent, teacher, and self-report versions.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.123
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.038
GPT teacher head0.271
Teacher spread0.233 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2024
Admission routes1
Has abstractyes

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