MétaCan
Menu
Back to cohort
Record W2564373492 · doi:10.1123/jsep.2016-0038

A Test of Basic Psychological Needs Theory in a Physical-Activity-Based Program for Underserved Youth

2016· article· en· W2564373492 on OpenAlexaff
Lindley McDavid, Meghan H. McDonough, Bonnie Tjeerdsma Blankenship, James M. LeBreton

Bibliographic record

VenueJournal of Sport and Exercise Psychology · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychologyAutonomyTest (biology)Interpersonal communicationPerceptionSelf-determination theoryInterpersonal relationshipApplied psychologySocial psychologyIntervention (counseling)Social supportStructural equation modelingClinical psychology

Abstract

fetched live from OpenAlex

This study used a randomized controlled design to test the pathways in basic psychological needs theory, where social relationships characterized by autonomy support, involvement, and structure foster psychological need satisfaction and well-being. Participants were recruited from a physical-activity-based youth program. A new staff training was implemented to manipulate the use of each interpersonal characteristic by program staff (N = 24 observed) and perceptions of each interpersonal characteristic, psychological needs, hope, and self-worth in youth (N = 379 surveyed pre- and postprogram). Staff in the intervention condition used greater overall observed autonomy support, involvement, and structure. Condition assignment did not lead to differences in youth perceptions, but observed staff behaviors positively predicted youth perceptions of staff and perceptions of staff positively predicted change in well-being. Findings indicate that the training manipulated how staff engaged youth, and autonomy support, involvement, and structure are useful strategies to foster well-being in youth.

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)0.014
metaresearch head score (Gemma)0.021
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.072

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0140.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.060
GPT teacher head0.372
Teacher spread0.312 · 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

Citations22
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Sport and Exercise PsychologySame topicYouth Development and Social SupportFrench-language works237,207