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Record W4309366143 · doi:10.1123/apaq.2022-0025

A Scoping Review of Mixed Methods Research About Physical Activity for Children With Disabilities

2022· review· en· W4309366143 on OpenAlexaff
Mathieu Michaud, William J. Harvey, Gordon A. Bloom

Bibliographic record

VenueAdapted Physical Activity Quarterly · 2022
Typereview
Languageen
FieldMedicine
TopicCerebral Palsy and Movement Disorders
Canadian institutionsDouglas Mental Health University InstituteMcGill University
Fundersnot available
KeywordsPsychologyResearch designMultimethodologyMedical educationApplied psychologyMedicineMathematics educationSociologySocial science

Abstract

fetched live from OpenAlex

The purpose of this scoping review was to examine how mixed methods research (MMR) has been applied in adapted physical activity (APA) research about children and adolescents age 5-18 years with a disability. Six electronic databases were searched to retrieve relevant studies published between 2003 and 2020. Sixty-four studies were identified and analyzed. The findings were organized into five categories of interest: publication information, study objectives, mixed methods research design, participants' information, and data integration. Challenges related to the design and publication of MMR in APA were uncovered, and suggestions for improvement are provided. This study adds to the knowledge of MMR design, and it provides an understanding of the underlying processes and methodological strategies that have guided this approach in APA research. This article will encourage APA researchers to engage in MMR while also aligning future studies with contemporary MMR literature and publication standards.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.768
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.002
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 head0.156
GPT teacher head0.486
Teacher spread0.329 · 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.

Study designSystematic review
Domainnot available
GenreReview

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
Published2022
Admission routes1
Has abstractyes

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