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Record W2023589330 · doi:10.1080/1091367x.2011.590083

Reliability and Validity of Outcome Expectancy-Related Measures in Physical Education

2011· article· en· W2023589330 on OpenAlexaff
Zan Gao, Yuanlong Liu, Ken R. Lodewyk, Tao Zhang, Maria Kosma

Bibliographic record

VenueMeasurement in Physical Education and Exercise Science · 2011
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsBrock University
Fundersnot available
KeywordsOutcome (game theory)PsychologyConfirmatory factor analysisExpectancy theoryConstruct validityReliability (semiconductor)Predictive validityStatisticsDevelopmental psychologyStructural equation modelingPsychometricsSocial psychologyMathematics

Abstract

fetched live from OpenAlex

The purpose of this study was to examine the reliability and validity of outcome likelihood, outcome value, and outcome expectancy using data collected from students in secondary school physical education classes. Dependent measures were examined for construct, concurrent, and predictive validity, as well as internal and temporal reliability. The results of the investigation indicated the following. First, confirmatory factor analyses for the dependent variables (outcome likelihood, outcome value, outcome expectancy) revealed a suitable fit of the data with a hypothesized factor structure. Second, significant associations between these variables and other personal beliefs and values provided sound evidence for the concurrent validity of outcome likelihood, outcome value, and outcome expectancy. Third, results of regression analyses revealed that outcome likelihood and outcome value had strong predictive validity in predicting physical activity behaviors. Finally, the internal reliabilities of self-report scales for the outcome likelihood, outcome value, and outcome expectancy over a three-semester period were satisfactory. The temporal reliabilities were also acceptable.

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 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.239
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.084
GPT teacher head0.347
Teacher spread0.263 · 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 teacher head, 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

Citations3
Published2011
Admission routes1
Has abstractyes

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Same venueMeasurement in Physical Education and Exercise ScienceSame topicMotivation and Self-Concept in SportsFrench-language works237,207