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Record W2950427031

Quick on the uptake: Theory of Planned Behaviour variables predict organizational uptake of health research

2012· article· en· W2950427031 on OpenAlexaffabout
Shane N. Sweet, Amy E. Latimer‐Cheung, Kathleen A. Martin Ginis, Christopher Bourne

Bibliographic record

VenueJournal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository) · 2012
Typearticle
Languageen
FieldHealth Professions
TopicCommunity Health and Development
Canadian institutionsCanadians Living with HIVQueen's UniversityMcMaster UniversityYork University
Fundersnot available
KeywordsTheory of planned behaviorPsychologyVariance (accounting)Social psychologySelf-efficacyPath analysis (statistics)Regression analysisTest (biology)Applied psychologyControl (management)StatisticsMathematicsBusinessComputer science
DOInot available

Abstract

fetched live from OpenAlex

The uptake of research in community-based service organizations (CBSOs) that promote active and healthy living in adults with a disability is poor. To understand research use in these CSBOs, the purpose of this study was to test a model of theory of planned behaviour variables to predict research use. Employees (N=62) from Canadian CSBOs responded to an online survey assessing individuals' attitudes, subjective norms, intentions, and the self-efficacy component of perceived behavioural control, along with two indicators of research use: 1) extent to which research was used when developing the last program and 2) ability to keep informed of the latest research. Regression-based path analysis was used to analyze a model to predict each indicator. In both models, attitudes (s=.67, p.05) and self-efficacy (s=.14, p>.05) explained 66% of the variance in intentions to use research. Intentions (s=.62, p

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)0.008
metaresearch head score (Gemma)0.043
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.992
Threshold uncertainty score0.044

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.043
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
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 head0.080
GPT teacher head0.363
Teacher spread0.282 · 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.

Study designObservational
DomainMethods
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
Published2012
Admission routes2
Has abstractyes

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Same venueJournal of Exercise, Movement, and Sport (SCAPPS refereed abstracts repository)Same topicCommunity Health and DevelopmentFrench-language works237,207