School Physical Education Policies and Practices and Student Physical Education Attendance

2020 ◽  
Vol 31 (2) ◽  
Author(s):  
Jinsook Kim ◽  
Lynn Herrmann
Keyword(s):  
High School ◽  
High School Students ◽  
Physical Education ◽  
Negative Binomial ◽  
State Level ◽  
Negative Binomial Regression ◽  
Education Policies ◽  
School Students ◽  
Binomial Regression ◽  
Using Data

This study examined how state-level measures of school-reported physical education (PE) provisions and exemption practices correlated to student-reported PE attendance among high school students, using data (n=50077) from state-representative schools and students from multiple states. Negative binomial regression was used to examine the association of the frequency of PE attendance with schools’ PE provision and exemption, controlling for student characteristics. The percentage of schools offering PE for all grades was positively associated with PE attendance more strongly among girls and higher-grade students. Permissive exemption policies were not associated with PE attendance. Offering PE for all grades may enhance PE attendance.

Impact of State Laws Governing Physical Education on Attendance Among US High School Students, 2003 to 2017

2019 ◽  
Vol 33 (8) ◽  
pp. 1144-1151 ◽  
Author(s):  
Ruopeng An ◽  
Mengmeng Ji ◽  
Caitlin Clarke ◽  
Chenghua Guan
Keyword(s):  
Physical Activity ◽  
High School ◽  
High School Students ◽  
Physical Education ◽  
Negative Binomial ◽  
School Students ◽  
Cross Sectional ◽  
State Laws ◽  
Individual Level ◽  
Class Attendance

Purpose: This study assessed the influence of state laws governing physical education (PE) on weekly PE class attendance among US high school students. Design: Cross-sectional. Setting: 2003 to 2017 US national Youth Risk Behavior Survey (YRBS). Participants: A total of 533 468 high school students. Measures: Data on state laws governing PE came from National Cancer Institute’s Classification of Laws Associated with School Students (CLASS). Eight distinct state PE policies were scored, with higher scores denoting stronger laws. Analysis: Individual-level YRBS data were merged with CLASS data based on students’ residential state and survey year. State fixed-effect negative binomial regressions were performed, adjusting for individual-level characteristics and YRBS survey design. Results: A 1-score increase in state laws governing PE class time, staffing for PE, joint use agreement for physical activity, assessment of health-related fitness, and PE curriculum was associated with an increase in weekly PE attendance by 0.30, 0.28, 0.22, 0.20, and 0.13 days ( P < .001), respectively. In contrast, a 1-score increase in state laws governing moderate-to-vigorous-intensity physical activity time in PE, PE proficiency, and recess time was associated with a reduction in weekly PE attendance by 0.25, 0.15, and 0.09 days ( P < .001), respectively. The effects of most state PE policies on PE class attendance were larger among girls than boys. Conclusion: State PE policies differentially impacted US high school students’ PE class attendance, with larger effects on female students.

IMPLEMENTASI ALGORITMA K-Modes UNTUK MENENTUKAN STRATEGI MARKETING STMIK BUDI DARMA

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Ewin Karman Nduru ◽  
Efori Buulolo ◽  
Pristiwanto Pristiwanto
Keyword(s):  
High School ◽  
Data Mining ◽  
High School Students ◽  
Marketing Strategy ◽  
Process Data ◽  
School Students ◽  
The North ◽  
The Government ◽  
Using Data ◽  
North Sumatra

Universities or institutions that operate in North Sumatra are very many, therefore, of course, competition in accepting new students is very tight, universities or institutions do certain ways or steps to be able to compete with other campuses in gaining interest from community or high school students who will continue their studies to a higher level. STMIK BUDI DARMA Medan (College of Information and Computer Management), is the first computer high school in Medan which was established on March 1, 1996 and received approval from the government through the Minister of Education and Culture, on July 23, 1996 with operating license number 48 / D / O / 1996, in promoting the campus, the team usually formed a promotion team to various regions in the North Sumatra Region to provide information to the community. Students who have learned in this campus are quite a lot who come from various regions in North Sumatra, from this point the need to process data from students who are active in college to be processed using data mining to achieve a target, one method that can be used in data mining, namely the ¬K-Modes clustering (grouping) algorithm. This method is a grouping of student data that will be a help to campus students in promoting, using the K-Modes algorithm is expected to help and become a reference for marketing in determining the marketing strategy STMIK Budi Darma MedanKeywords: STMIK Budi Darma, Marketing Strategy, K-Modes Algorithm.

scholarly journals Relationship between High School Student Participation in State-level Future Farmers of America Career Development Events and Matriculation at the Host University: A Case Study in Horticulture at Kansas State University

2016 ◽  
Vol 26 (6) ◽  
pp. 862-868 ◽  
Author(s):  
Kimberly A. Williams ◽  
Chad T. Miller ◽  
Ward Upham
Keyword(s):  
High School ◽  
High School Students ◽  
Career Development ◽  
State Level ◽  
The United States ◽  
Future Farmers Of America ◽  
State University ◽  
School Students ◽  
Kansas State University ◽  
Career Development Events

In recent years, many horticulture departments around the United States have been concerned with recruiting and retaining an adequate number of students. One potential recruitment opportunity is the horticulture Future Farmers of America (FFA) Career Development Events (CDEs). For the time period of 1999 to 2012 (14 years), 1462 students participated in the annual state-level horticulture contests, comprising floriculture and nursery/landscape CDEs, held at Kansas State University (KSU). Using the rosters from these two CDEs, we referenced the university’s student information database to determine whether the high school students who participated as FFA horticulture CDE contestants ultimately matriculated to KSU. Fifty-two percent of former FFA horticulture CDE participants were accepted to KSU and 32% matriculated. Of these, 58% enrolled in the College of Agriculture and 19% majored in horticulture. Therefore, 3.5% of total horticulture CDE participants majored in horticulture at KSU. Students who participated in more than one horticulture CDE over time were more likely to major in horticulture at KSU compared with students who competed only once. Thirty-nine percent of students who participated in both horticulture CDEs pursued a baccalaureate program in horticulture. These two student characteristics could be used as indicator data points to target recruitment of future horticulture students. Data about the high school programs that generated contest participants were also summarized. Exceling in the CDE contests was not an indicator CDE participants would pursue a baccalaureate degree in horticulture. These analyses suggest FFA CDEs have some potential to optimize student recruitment efforts.

Reliability and Validity Evidence for the Social Goal Scale-Physical Education (SGS-PE) in High School Settings

2006 ◽  
Vol 25 (2) ◽  
pp. 226-239 ◽  
Author(s):  
Jianmin Guan ◽  
Ron E. McBride ◽  
Ping Xiang
Keyword(s):  
High School ◽  
Factor Analysis ◽  
High School Students ◽  
Physical Education ◽  
Social Responsibility ◽  
Social Relationship ◽  
Social Goal ◽  
School Students ◽  
School Settings ◽  
The Social

Two types of social goals associated with students’ academic performance have received attention from researchers. One is the social responsibility goal, and the other is the social relationship goal. While several scales have been validated for measuring social relationship and social responsibility goals in academic settings, few studies have applied these social goal scales to high school students in physical education settings. The purpose of this study was to assess the reliability, validity, and generalizability of the scores produced by the Social Goal Scale-Physical Education (SGS-PE) in high school settings. Participants were 544 students from two high schools in the southern United States. Reliability analyses, principal components factor analysis, confirmatory factor analysis, and multistep invariance analysis across two school samples revealed that the SGS-PE produced reliable and valid scores when used to assess students’ social goal levels in high school physical education settings.

Managing Inflation

2016 ◽  
Vol 63 (1) ◽  
pp. 77-87 ◽  
Author(s):  
William H. Fisher ◽  
Stephanie W. Hartwell ◽  
Xiaogang Deng
Keyword(s):  
Count Data ◽  
Regression Models ◽  
Negative Binomial ◽  
Negative Binomial Regression ◽  
Excess Zeros ◽  
Binomial Regression ◽  
Negative Binomial Models ◽  
Using Data ◽  
Over Dispersion ◽  
Binomial Models

Poisson and negative binomial regression procedures have proliferated, and now are available in virtually all statistical packages. Along with the regression procedures themselves are procedures for addressing issues related to the over-dispersion and excessive zeros commonly observed in count data. These approaches, zero-inflated Poisson and zero-inflated negative binomial models, use logit or probit models for the “excess” zeros and count regression models for the counted data. Although these models are often appropriate on statistical grounds, their interpretation may prove substantively difficult. This article explores this dilemma, using data from a study of individuals released from facilities maintained by the Massachusetts Department of Correction.

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