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Record W2994090949 · doi:10.3389/feduc.2019.00120

Measurement Comparability of Reading in the English and French Canadian Populations: Special Case of the 2011 Progress in International Reading Literacy Study

2019· article· en· W2994090949 on OpenAlexaffabout
Shawna Goodrich, Kadriye Ercikan

Bibliographic record

VenueFrontiers in Education · 2019
Typearticle
Languageen
FieldPsychology
TopicReading and Literacy Development
Canadian institutionsDepartment of National Defence
Fundersnot available
KeywordsComparabilityDifferential item functioningEquivalence (formal languages)LiteracyReading (process)PsychologyTest (biology)Language proficiencyLinguisticsComputer scienceMathematics educationItem response theoryPsychometricsDevelopmental psychologyMathematicsPedagogy

Abstract

fetched live from OpenAlex

The purpose of this study is to examine item equivalence and score comparability of the Progress in International Reading Literacy Study (PIRLS) 2011for the Canadian French and English language groups. Two methods of differential item functioning were conducted to examine item equivalence across thirteen test booklets designed to assess reading literacy in early years of schooling. Four bilingual reviewers with expertise in reading literacy conducted independent, linguistic and cultural reviews to identify both the degree of item equivalence and potential sources of differences between language versions of released items. Results indicate that an average of 25% of items per booklet function differently at the item level. Reviews by experts indicate differences between the two language versions on some items flagged as displaying differential item function (DIF). Some of these were identified to have linguistic differences pointing to differential difficulty levels in the two language 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 score0.139
Threshold uncertainty score0.971

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 integrity0.0000.000
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 head0.025
GPT teacher head0.327
Teacher spread0.302 · 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

Citations1
Published2019
Admission routes2
Has abstractyes

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