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Record W4327976336 · doi:10.3102/00346543231160474

The Relation Between Need for Cognition and Academic Achievement: A Meta-Analysis

2023· article· en· W4327976336 on OpenAlex

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

VenueReview of Educational Research · 2023
Typearticle
Languageen
FieldPsychology
TopicEducation, Achievement, and Giftedness
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPsychologyCognitionMeta-analysisContext (archaeology)Association (psychology)Academic achievementNeed for cognitionVariance (accounting)Cognitive psychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Need for cognition is conceptualized as an individual’s intrinsic motivation to engage in and enjoy effortful cognitive activities. Over the past three decades, there has been increasing interest in how need for cognition impacts and correlates with learning performance. This meta-analysis summarized 136 independent effect sizes (N = 53,258) for the association between need for cognition and academic achievement and investigated the moderating effects of variables related to research context, methodology, and instrumentation. The overall effect size weighted by inverse variance and using a random effects model was found to be small, r = .20, with a 95% confidence interval ranging from .18 to .22. The association between need for cognition and learning performance was moderated by grade level, geographic region, exposure to intervention, and outcome measurement tool. The implications of these findings for practice and future research 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.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.661
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.494
GPT teacher head0.579
Teacher spread0.085 · 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