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Record W2895302723 · doi:10.1186/s12889-018-5890-y

Physical Literacy Knowledge Questionnaire: feasibility, validity, and reliability for Canadian children aged 8 to 12 years

2018· article· en· W2895302723 on OpenAlexafffundabout
Patricia E. Longmuir, Sarah J. Woodruff, Charles P. Boyer, Meghann Lloyd, Mark S. Tremblay

Bibliographic record

VenueBMC Public Health · 2018
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsOntario Tech UniversityUniversity of WindsorChildren's Hospital of Eastern OntarioUniversity of Ottawa
FundersCanadian Institutes of Health ResearchChamplain Local Health Integration NetworkPublic Health AgencyPublic Health Agency of Canada
KeywordsHealth literacyCompetence (human resources)LiteracyBiostatisticsCurriculumPhysical educationPsychologyMedicineGerontologyApplied psychologyMedical educationDevelopmental psychologyPublic healthSocial psychologyPedagogyNursing

Abstract

fetched live from OpenAlex

Physical literacy is defined as the motivation, confidence, physical competence, and knowledge and understanding to engage in physical activity for life. Physical literacy knowledge and understanding encompasses movement (how to move), performance (evaluation of movement), and health and fitness (value of exercise, need for relaxation and sleep, etc.). This paper describes the development and evaluation of a standardized assessment of physical literacy knowledge and understanding for Canadian children in grades 4, 5, and 6. Proposed Physical Literacy Knowledge Questionnaire (PLKQ) content was identified through expert consultation and a review of provincial/territorial physical education curricula for grades 4 to 6. Open-ended questions verified language and generated response options. Feasibility was assessed via completion time and error frequency. Item validity assessed scores by age, gender, and teacher ratings of student knowledge. Test-retest reliability was assessed over short (2-day) and long (7-day) intervals. Subsets of 678 children (54% girls, 10.1 ± 1.0 years of age) completed the feasibility and validity assessments. Response errors (missing or duplicate responses, etc.) were minimal (2% or less) except for one question (7% error) about the use of safety gear during physical activity. A Delphi process among experts in children’s physical activity and fitness achieved consensus on the core content and supported an item analysis to finalize item selection. As expected, knowledge scores increased with age (partial eta 2 = 0.07) but were not related to gender ( p = 0.63). Teacher ratings of children’s knowledge of physical activity behaviour ( r = 0.13, p = 0.01) and fitness ( r = 0.12, p = 0.03), but not movement skill ( r = 0.07, p = 0.19) were associated with PLKQ scores. Test-retest reliability for PLKQ score and individual questions was substantial to excellent for 71% of comparisons over a 2-day interval, but lower over a 7-day interval (53% substantial or excellent). Items with low reliability had high or low proportions of correct responses. This study provides feasibility and validity evidence for the Physical Literacy Knowledge Questionnaire as an assessment of physical literacy knowledge for Canadian children in grades 4, 5, and 6. Completion rates were high and knowledge scores increased with age. Streamlining of the content in accordance with Delphi panel recommendations would further enhance feasibility, but would also focus the content on items with limited reliability. Future studies of alternative item wording and responses are recommended to enhance test-retest reliability.

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)0.005
metaresearch head score (Gemma)0.007
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score0.506

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.056
GPT teacher head0.372
Teacher spread0.317 · 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

Citations100
Published2018
Admission routes3
Has abstractyes

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