Evidence map›Paper›PMID 33861769›Full record

ArticlePloS one2021

Developing and validating a school-based screening tool of Fundamental Movement Skills (FUNMOVES) using Rasch analysis.

Lucy H Eddy, Nick Preston, Mark Mon-Williams, Daniel D Bingham, Jo M C Atkinson, Marsha Ellingham-Khan, Ava Otteslev, Liam J B Hill

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
3.5field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 16 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Lucy H EddySchool of Psychology, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-3990-1944
Nick PrestonCentre for Applied Education Research, Wolfson Centre for Applied Health Research, Bradford Royal Infirmary, Bradford, West Yorkshire, United Kingdom.
Mark Mon-WilliamsSchool of Psychology, University of Leeds, Leeds, United Kingdom.
Daniel D BinghamBradford Institute for Health Research, Bradford Royal Infirmary, Bradford, United Kingdom.
Jo M C AtkinsonCentre for Applied Education Research, Wolfson Centre for Applied Health Research, Bradford Royal Infirmary, Bradford, West Yorkshire, United Kingdom.
Marsha Ellingham-KhanCentre for Applied Education Research, Wolfson Centre for Applied Health Research, Bradford Royal Infirmary, Bradford, West Yorkshire, United Kingdom.
Ava OtteslevCentre for Applied Education Research, Wolfson Centre for Applied Health Research, Bradford Royal Infirmary, Bradford, West Yorkshire, United Kingdom.
Liam J B HillSchool of Psychology, University of Leeds, Leeds, United Kingdom.
University of Leeds · GBBradford Royal Infirmary · GBUniversity of Bradford · GB

Funding

Department of Health NIHR20016Medical Research Council MR/S037527
6 · The paper itself

Abstract

backgroundA large proportion of children are not able to perform age-appropriate fundamental movement skills (FMS). Thus, it is important to assess FMS so that children needing additional support can be identified in a timely fashion. There is great potential for universal screening of FMS in schools, but research has established that current assessment tools are not fit for purpose.

objectiveTo develop and validate the psychometric properties of a FMS assessment tool designed specifically to meet the demands of universal screening in schools.

methodsA working group consisting of academics from developmental psychology, public health and behavioural epidemiology developed an assessment tool (FUNMOVES) based on theory and prior evidence. Over three studies, 814 children aged 4 to 11 years were assessed in school using FUNMOVES. Rasch analysis was used to evaluate structural validity and modifications were then made to FUNMOVES activities after each study based on Rasch results and implementation fidelity.

resultsThe initial Rasch analysis found numerous psychometric problems including multidimensionality, disordered thresholds, local dependency, and misfitting items. Study 2 showed a unidimensional measure, with acceptable internal consistency and no local dependency, but that did not fit the Rasch model. Performance on a jumping task was misfitting, and there were issues with disordered thresholds (for jumping, hopping and balance tasks). Study 3 revealed a unidimensional assessment tool with good fit to the Rasch model, and no further issues, once jumping and hopping scoring were modified. IMPLICATIONS: The finalised version of FUNMOVES (after three iterations) meets standards for accurate measurement, is free and able to assess a whole class in under an hour using resources available in schools. Thus FUNMOVES has the potential to allow schools to efficiently screen FMS to ensure that targeted support can be provided and disability barriers removed.

Indexed as

ChildChild, PreschoolFemaleHumansMaleMovementPilot ProjectsPostural BalancePsychometricsReproducibility of ResultsRunningSchools

Identifiers

PMID33861769
PMCPMC8051776
OpenAlexW3155863056

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.