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Development of the great recess framework – observational tool to measure contextual and behavioral components of elementary school recess

Overview of attention for article published in BMC Public Health, March 2018
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
7 news outlets
blogs
2 blogs
twitter
11 X users
reddit
1 Redditor

Citations

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22 Dimensions

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150 Mendeley
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Title
Development of the great recess framework – observational tool to measure contextual and behavioral components of elementary school recess
Published in
BMC Public Health, March 2018
DOI 10.1186/s12889-018-5295-y
Pubmed ID
Authors

William V. Massey, Megan B. Stellino, Sean P. Mullen, Jennette Claassen, Megan Wilkison

Abstract

Physical activity (PA) remains the primary behavioral outcome associated with school recess, while many other potentially relevant indicators of recess remain unexamined. Few studies have assessed observations of teacher/student interactions, peer conflict, social interactions, or safety within the recess environment. Furthermore, a psychometrically-sound instrument does not exist to examine safety, resources, student engagement, adult engagement, pro-social/anti-social behavior, and student empowerment on the playground. The purpose of the current study was to develop a valid, and reliable, assessment tool intended for use in measurement of the contextual factors associated with recess. An iterative and multi-step process was used to develop a tool that measures safety and structure, adult engagement and supervision, student behaviors, and transitions at recess. Exploratory structural equation modeling (Mplus v. 7.4) was used to examine the underlying measurement model with observational data of the recess environment collected at 649 school-based recess periods that spanned across 22 urban/metropolitan areas in the USA. Data were also collected by two researchers at 162 recess sessions across 9 schools to examine reliability. A 17-item observation instrument, the Great Recess Framework - Observational Tool (GRF-OT), was created. Findings of exploratory structural equation modeling (ESEM) analyses supported factorial validity for a 4-factor solution and linear regressions established convergent validity where 'structure and safety', 'adult engagement and supervision', and 'student behaviors' were all significantly related to observed activity levels. Each sub-scale of the GRF-OT showed adequate levels of inter-rater reliability and test-retest reliability analysis indicated a higher level of stability for the GRF-OT when using a three-day average across two time points as compared to a two-day average. Initial evidence for a valid, and reliable, assessment tool to observationally measure the recess environment with a specific focus on safety, resources, student engagement, adult engagement, pro-social/anti-social behavior, and student empowerment was established in this study. Use of the GRF-OT can inspire evaluation, and subsequent intervention, to strategically create consistent, appropriate, and engaging school recess that impact children's physical, cognitive, social and emotional development.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 150 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 150 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 13%
Student > Master 17 11%
Student > Ph. D. Student 13 9%
Student > Doctoral Student 10 7%
Student > Bachelor 7 5%
Other 26 17%
Unknown 58 39%
Readers by discipline Count As %
Sports and Recreations 18 12%
Social Sciences 18 12%
Psychology 14 9%
Nursing and Health Professions 12 8%
Medicine and Dentistry 9 6%
Other 16 11%
Unknown 63 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 70. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 17 April 2021.
All research outputs
#542,997
of 23,577,654 outputs
Outputs from BMC Public Health
#506
of 15,296 outputs
Outputs of similar age
#13,661
of 333,856 outputs
Outputs of similar age from BMC Public Health
#22
of 317 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,296 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has done particularly well, scoring higher than 96% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 333,856 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 317 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.