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Record W2801585564 · doi:10.1186/s12889-018-5325-9

Measuring sport experiences in children and youth to better understand the impact of sport on health and positive youth development: designing a brief measure for population health surveys

2018· article· en· W2801585564 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueBMC Public Health · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsNipissing UniversityMcMaster UniversityUniversity of Toronto
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsExploratory factor analysisConfirmatory factor analysisBiostatisticsPositive Youth DevelopmentPopulationApplied psychologyPsychologyCompetence (human resources)Test (biology)MedicinePublic healthDevelopmental psychologySocial psychologyPsychometricsStructural equation modelingEnvironmental healthNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Despite the proliferation of studies examining youth sport participation, there are significant gaps in knowledge regarding the impact of youth sport participation on health and development. These gaps are not new, but have persisted due to limitations with how sport participation is measured. Much of the research to date has measured sport participation as binary (yes/no) or count measures. This has been especially true in survey-based research. Yet, at the same time, research has investigated youths' experiences in sport such as the influence of coaches, teammates, and parents. The ability to measure these experiences is constrained by the need to use a number of measures along with gaps in the content covered in existing measures. We propose to develop and test the Sport Experiences Measure: Children and Youth (SEM:CY) as a population survey-based measure that captures the salient aspects of youths' experience in sport. METHODS: The SEM:CY will be developed and tested across three phases. Phase I includes qualitative research with members of the sport community and engagement with an expert group to generate and obtain feedback on the initial item pool. In Phase II will recruit two consecutive samples of students from schools to complete the draft measure. Analysis will focus on assessing the items and factor structure of the measure. Factor structure will be assessed first with exploratory factor analysis and then confirmatory factor analysis. In phase III we will test the association between the SEM:CY with a measure of perceived competence, sport anxiety, and positive youth development to assess construct validity. We will also examine whether the structure of the measure varies by age or gender. DISCUSSION: The SEM:CY measure will provide a meaningful contribution to the measurement and understanding of youth sport participation. The SEM:CY can be used as a stand-alone measure to understand youth experiences in sport programs, or in combination with other health and development measures to better understand how youth sport can contribute to both positive and negative outcomes.

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)0.015
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.305
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.131
GPT teacher head0.351
Teacher spread0.220 · 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