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Record W4391876290 · doi:10.1080/15305058.2024.2318424

A meta-analysis of the relationship between Wonderlic test scores and school success

2024· article· en· W4391876290 on OpenAlex
Chet Robie, Sabah Rasheed, Stephen D. Risavy, Piers Steel

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Testing · 2024
Typearticle
Languageen
FieldDecision Sciences
TopicPsychometric Methodologies and Testing
Canadian institutionsUniversity of CalgaryWilfrid Laurier University
Fundersnot available
KeywordsPsychologyTest (biology)Clinical psychologyMeta-analysisMedicineInternal medicine

Abstract

fetched live from OpenAlex

This meta-analysis examined the validity of an alternative to traditional assessments called the Wonderlic which is a brief measure of general mental ability. Our results showed significant, positive correlations between Wonderlic scores and academic performance in general ( r̅ = .26), between Wonderlic scores and undergraduate GPA in particular ( r̅ = .27, ρ¯ = .33), and between Wonderlic scores and retention ( r̅ =.09, ρ¯ = .12). We also identified several significant moderators of the relationship between Wonderlic scores and relevant outcomes (e.g., test publisher reported coefficients were larger than those reported by other sources). Subgroup differences in test scores were in the same range as other post-secondary admissions assessments (e.g., ACT and SAT scores). Overall, the Wonderlic has similar levels of subgroup differences and is less strongly related to GPA than traditional assessments but still retains useful levels of predictiveness and is a shorter, less expensive assessment that requires less preparation than the ACT or SAT.

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.

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)0.008
metaresearch head score (Gemma)0.399
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.606

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.399
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.825
GPT teacher head0.549
Teacher spread0.277 · 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