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Record W4388764990 · doi:10.3389/fpsyg.2023.1244566

Portuguese translation and validation of the questionnaires from the Canadian Physical Literacy Assessment-2: a pilot study

2023· article· en· W4388764990 on OpenAlexaboutno aff
María Mendoza-Muñoz, Jorge Carlos‐Vivas, Antonio Castillo-Paredes, José A. Parraça, Armando Raimundo, Joana Alegrete, Raquel Pastor-Cisneros, Rafael Gomez-Galan

Bibliographic record

VenueFrontiers in Psychology · 2023
Typearticle
Languageen
FieldPsychology
TopicChildren's Physical and Motor Development
Canadian institutionsnot available
FundersEuropean Commission
KeywordsPsychologyCronbach's alphaPortugueseContext (archaeology)European PortugueseConfirmatory factor analysisReliability (semiconductor)Test (biology)LiteracyDevelopmental psychologyStructural equation modelingClinical psychologyPsychometricsStatisticsGeographyMathematics

Abstract

fetched live from OpenAlex

Background/objective Physical literacy assessment is considered a vital resource to decrease the prevalence of sedentary lifestyles and physical inactivity in children and adolescents worldwide. In Portugal, there is no physical literacy assessment tool for children under 15 years old. The main objective of this study was to carry out a translation and cultural adaptation of the Canadian Physical Literacy Assessment 2 (CAPL-2) into Portuguese, as well as to test its psychometric properties, in children between 8 and 12 years of age. Methods The questionnaires included in the CAPL-2 were translated using the translation-back-translation method and adapted to their context. The test–retest reliability, internal consistency, and confirmatory factor analysis of the CAPL-2 Portuguese version were analyzed in a sample of 69 and 138 students, respectively, from a school in the Alentejo region (Portugal). Results The Portuguese version of the CAPL-2 questionnaires demonstrated high internal consistency (Cronbach’s α: 0.713–0.979) and test–retest reliability ranging from moderate to nearly perfect in the motivation and confidence domain and knowledge and comprehension domain (ICC = 0.549–0.932). The results showed a good fit after adjusting for covariation paths (CMIN/DF = 1.382, p = 0.105, RMSEA = 0.053, CFI = 0.971, TLI = 0.955, NFI = 0.907). Conclusion The CAPL-2 version of the questionnaires, translated and adapted to the Portuguese context, demonstrated validity and reliability, making them suitable for assessing physical literacy in children aged 8–12 years.

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)0.000
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 score0.199
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.032
GPT teacher head0.346
Teacher spread0.314 · 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

Citations8
Published2023
Admission routes1
Has abstractyes

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