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Assessment of the equivalence of conventional versus computer administration of the Test of Workplace Essential Skills

2006· article· en· W1820073293 on OpenAlexaff
Hal J. Whiting, Theresa J. B. Kline

Bibliographic record

VenueInternational Journal of Training and Development · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicGender and Technology in Education
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsTest (biology)Equivalence (formal languages)NumeracyReading (process)PsychologyComputerized adaptive testingComputer literacyRank (graph theory)Mathematics educationApplied psychologyLiteracyPsychometricsDevelopmental psychologyPedagogyMathematics

Abstract

fetched live from OpenAlex

This study examined the equivalency of computer and conventional versions of the Test of Workplace Essential Skills (TOWES), a test of adult literacy skills in Reading Text, Document Use and Numeracy. Seventy‐three college students completed the computer version, and their scores were compared with those who had taken the test in the conventional paper‐and‐pencil mode. Scores for the two groups for all three subscales were equivalent based on their means and variances. Rank order equivalency was demonstrated for two of the three TOWES subscales (Reading Text and Document Use). Additionally, participants rated the computer version of the test as easy to use.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.055
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.055
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.350
Teacher spread0.323 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2006
Admission routes1
Has abstractyes

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