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Record W2038779569 · doi:10.1080/092970490911289

COPY AND RECALL PERFORMANCE OF 6–8-YEAR-OLD CHILDREN AFTER STANDARD VS. STEP-BY-STEP ADMINISTRATION OF THE REY-OSTERRIETH COMPLEX FIGURE

2005· article· en· W2038779569 on OpenAlexaff
Virginia Frisk, Lorna S. Jakobson, Rachel M. Knight, Barbara Robertson

Bibliographic record

VenueChild Neuropsychology · 2005
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsCollege of New CaledoniaUniversity of ManitobaHospital for Sick Children
Fundersnot available
KeywordsPsychologyRecallNeuropsychologyTest (biology)Neuropsychological assessmentDevelopmental psychologyTwo stepCognitionCognitive psychologyPsychiatry

Abstract

fetched live from OpenAlex

The Rey-Osterrieth Complex Figure (ROCF; Rey 1941; Osterrieth, 1944) is frequently used in the neuropsychological assessment of children and adults. The present study was designed, in part, to examine the impact of providing organizational scaffolding to young children being tested with the ROCF. To this end, 6-, 7-, and 8-year-old children were administered the test either in the standard fashion, or using a format in which the 18 key elements of the figure were introduced sequentially. Participants included 132 children who were randomly assigned to the standard or step-by-step administration groups. Significantly higher accuracy and organization scores for both copy and recall were seen with the step-by-step format than with the standard format, even though children in the step-by-step condition took less time to execute their drawings. Retention of encoded information was not affected by age or testing format. The fact that 6-year-olds in the step-by-step condition performed as well as, or better than, 8-year-olds in the standard condition suggests that the primary problem young children experience with the ROCF lies with organizational strategy formation. Advantages of using the Step-by-step ROCF in clinical practice are discussed.

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)0.000
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 score0.015
Threshold uncertainty score0.471

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.009
GPT teacher head0.252
Teacher spread0.243 · 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

Citations16
Published2005
Admission routes1
Has abstractyes

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