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Record W4391037889 · doi:10.25035/pad.2024.01.003

Calculator Provision as an Accommodation for the Canadian Forces Aptitude Test (CFAT)

2024· article· en· W4391037889 on OpenAlexaboutno aff
Joseph J. Berry

Bibliographic record

VenuePersonnel Assessment and Decisions · 2024
Typearticle
Languageen
FieldPsychology
TopicHuman Resource Development and Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsCalculatorTest (biology)AptitudePsychologyReliability (semiconductor)AccommodationMathematics educationComputer scienceDevelopmental psychology

Abstract

fetched live from OpenAlex

The impact of calculator provision on the reliability and validity of a version of the Canadian Forces Aptitude Test—Problem Solving subtest was investigated in order to inform testing accommodation policy. Two hundred and fifty-four Canadian Armed Forces recruits undergoing basic training participated in the experimental research design, which consisted of a calculator and a no-calculator condition. Results supported that the convergent validity of the test was maintained in the calculator condition, as indicated by similar validity coefficients with other measures of cognitive ability in the two conditions; however, several items showed increased correct responding, and there was mixed support for criterion-related validity when calculators were provided. Additionally, the calculator condition moderated the relationship between calculator dependency and test performance, such that the relationship was positive in the calculator condition and negative in the no-calculator condition. Implications of these results with respect to accommodation policy are discussed, as well as additional research that would be beneficial in this area.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.090
GPT teacher head0.437
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.

Study designOther design
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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