This US Physical Education and Physical Activity Policy (US-PEPAP) Implementation Surveillance Data readme.txt file was generated on 2024-2-27 by Ben D. Kern

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GENERAL INFORMATION



1. Title of Dataset: Georgia-US Physical Education and Physical Activity Policy (US-PEPAP) Implementation Surveillance Data



2. Description or abstract of dataset: While summary of the existence of US state policies regarding physical education and physical activity are available, measures of the policy implementation are rare therefore, the US-PEPAP implementation survey was designed to capture accurate and up to date information on physical education and physical activity policy implementation in schools as reported directly by physical educators. A secondary purpose of this work was to engage physical educators, university researchers, and other proponents of lifelong physical activity in becoming advocates for more favorable policy in each of the 50 US states.



3. Author Information

	A. Principal Investigator Contact Information

		Name: Ben D. Kern

		Institution: University of Wyoming

		Address: 1000 E. University, Laramie, WY 82071

		Email: bkern2@uwyo.edu



	B. Associate or Co-investigator Contact Information

		Name: Wesley J. Wilson

		Institution: University of Illinois

		Address: 906 S. Goodwin, Champaign, IL 61801

		Email: wjwilson@illinois.edu



	C. Alternate Contact Information

		Name: 

		Institution: 

		Address: 

		Email: 



4. Date of data collection (single date, range, approximate date) <suggested format YYYY-MM-DD>: 2023-11-01



5. Geographic location of data collection <latitude, longitude, or city/region, State, Country, as appropriate>: Laramie, WY, USA



6. Information about funding sources that supported the collection of the data: University of Wyoming Division of Kinesiology and Health internal funds



7. Keywords for dataset: physical education, physical activity, policy implementation, survey, school, education 



8. Discipline of dataset: Physical education, kinesiology, public health



9. License for dataset: CC-BY





SHARING/ACCESS INFORMATION



1. Licenses/restrictions placed on the data: 



2. Links to publications that cite or use the data: 



3. Links to other publicly accessible locations of the data: 



4. Links/relationships to ancillary data sets: 



5. Was data derived from another source? yes/no

	A. If yes, list source(s): 



6. Recommended citation for this dataset: Kern, B.D., Wilson, W.J., van der Mars, H., Killian C., Paulson, L., Wallhead, T., & Woo, D., &  (2023). US Physical education and physical education policy implementation surveillance project.





DATA & FILE OVERVIEW



1. File List: 

GA_Adapted Physical Education Quantity.pdf
GA_Physical Education and Physical Activity Policy Implementation.pdf
GA_Physical Education Class Sizes.pdf
GA_Physical Education Quantity.pdf
GA_Recess and Other PA Opportunities Quantity.pdf

<list all files (or folders, as appropriate for dataset organization) contained in the dataset, with a brief description>



2. Relationship between files, if important: Each folder contains 5 pdf files that contain data specific to a single US state regarding the quantity of physical education and adapted physical education implemented in schools, along with the implementation of a range of school policies that impact physical education and physical activity quality. 



3. Additional related data collected that was not included in the current data package: 



4. Are there multiple versions of the dataset? yes/no

	A. If yes, name of file(s) that was updated: 

		i. Why was the file updated? 

		ii. When was the file updated? 





METHODOLOGICAL INFORMATION



1. Description of methods used for collection/generation of data: The data were collected by first constructing a stratified sample of potential recipients in each US state for distribution of an electronic survey. These recipients were confirmed as current physical education teachers, and the sample was stratified by school level data such as percentage of students receiving free or reduced lunch, locale (rural, urban, etc.), and geographic location (in-state). An electronic questionnaire was then distributed to participants with questions requiring participants to indicate factual data about topics such as frequency of physical education / adapted physical education class and recess offerings, length of those offerings, class sizes, and policies regarding withholding physical education or recess. In addition, questions about school implementation of waivers, substitutions, exemptions, and online offering of physical education were included, as were estimations of physical activity opportunities offered before and after school. The US-PEPAP questionnaire included 18 policy items adapted from the Physical Education and Activity District Questionnaire – Public Use Version (Roberts, 2016), and the Foods and Physical Activity in Public Elementary Schools: 2005 Questionnaire (Parsad, 2006) and 12 demographic questions. A similar version of the survey was used successfully for a statewide survey in Wyoming in 2021 (see Kern et al., 2021).

Kern, B. D., Malinowski, P., Hunt, K., McIlnay, S., Powell, B., & Stephenson, D. (2021). State of a state: Results from the Wyoming Physical Education and Physical Activity Policy Survey. Journal of Teaching in Physical Education. https://doi.org/10.1123/jtpe.2021-0161


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2. Methods for processing the data: The data were collected using the Qualtrics survey platform. Then the raw data were exported SPSS statistical software for data cleaning and analysis. Descriptive statistics were calculated for all variables, and those variables of most interest were exported to data tables for presentation.

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3. Instrument- or software-specific information needed to interpret the data: No instrument or software is needed to interpret the data.

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4. Standards and calibration information, if appropriate: 



5. Environmental/experimental conditions: 



6. Describe any quality-assurance procedures performed on the data: 



7. People involved with sample collection, processing, analysis and/or submission: 





DATA-SPECIFIC INFORMATION FOR: [FILENAME]

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1. Number of variables: 



2. Number of cases/rows: 



3. Variable List: 

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4. Missing data codes: 

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5. Specialized formats or other abbreviations used: