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Record W4206067976 · doi:10.1080/21683603.2021.1945513

Examining the relation of Cognitive Assessment System-2: Brief with academic achievement in a sample of Greek-speaking children

2021· article· en· W4206067976 on OpenAlexaff
Sergios Sergiou, George K. Georgiou, Charalambos Y. Charalambous

Bibliographic record

VenueInternational Journal of School & Educational Psychology · 2021
Typearticle
Languageen
FieldPsychology
TopicCognitive Abilities and Testing
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsReading (process)CognitionMathematics educationVariance (accounting)Test (biology)Achievement testPsychologyAcademic achievementDevelopmental psychologyStandardized testLinguistics

Abstract

fetched live from OpenAlex

Although Cognitive Assessment System (CAS)-2: Brief was published in 2014 and it is used in applied settings all over the world, we still do not know how well it relates to academic achievement. Thus, this study aimed to examine the relations of CAS-2: Brief with reading and mathematics performance. Two hundred and twenty-two Greek-speaking children in Grade 6 (98 boys, 124 girls, Mage = 135.85 months) were assessed on CAS-2: Brief and on measures of reading (Wordchains and CBM-Maze) and mathematics (Mathematics Achievement Test and Mathematics Reasoning Test). Results of the correlational analysis showed first that the CAS-2: Brief total score correlated moderately with both reading and mathematics tasks (rs ranged from .36 to .53). Second, results of the multilevel analyses revealed that the CAS-2: Brief total score explained 11.4% of unique variance in mathematics and 27.6% of unique variance in reading. Theoretical and practical implications of these findings 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)0.001
metaresearch head score (Gemma)0.001
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 score0.013
Threshold uncertainty score0.965

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.065
GPT teacher head0.412
Teacher spread0.347 · 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

Citations4
Published2021
Admission routes1
Has abstractyes

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