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Shah, Ashima Mathur; Wylie, Caroline; Gitomer, Drew; Noam, Gil – Science Education, 2018
In and out-of-school time (OST) experiences are viewed as complementary in contributing to students' interest, engagement, and performance in science, technology, engineering, and mathematics (STEM). While tools exist to measure quality in general afterschool settings and others to measure structured science classroom experiences, there is a need…
Descriptors: STEM Education, Educational Improvement, Educational Quality, After School Programs
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Noam, Gil G.; Allen, Patricia J.; Sonnert, Gerhard; Sadler, Philip M. – International Journal of Science Education, Part B: Communication and Public Engagement, 2020
There has been a growing need felt by practitioners, researchers, and evaluators to obtain a common measure of science engagement that can be used in different out-of-school time (OST) science learning settings. We report on the development and validation of a novel 10-item self-report instrument designed to measure, communicate, and ultimately…
Descriptors: Leisure Time, Elementary School Students, Middle School Students, After School Programs
Grack Nelson, Amy Lynn – ProQuest LLC, 2017
Twenty-first century skills are vital for preparing youth for careers in science, technology, engineering, and math (STEM) fields. STEM out-of-school time (OST) programs play an important role in helping youth develop these skills, particularly the teamwork skills necessary for the growing collaborative nature of STEM jobs. However, there is a…
Descriptors: STEM Education, After School Programs, Program Evaluation, Measures (Individuals)
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Balkan-Kiyici, Fatime; Yavuz Topaloglu, Melike – Malaysian Online Journal of Educational Sciences, 2016
When teachers organize planned and systematical out-of-school learning activities, students can understand the abstract and complex terms and topics better and therefore meaningful and deeper learning can occur. Within this context this study aims to develop a valid and reliable scale to determine the attitudes, behaviors, efficiency and…
Descriptors: Educational Environment, Test Construction, After School Programs, Learning Activities
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Puvirajah, Anton; Verma, Geeta; Li, Hongli; Martin-Hansen, Lisa – International Journal of Science Education, Part B: Communication and Public Engagement, 2015
As engagement with science, technology, engineering, and mathematics (STEM) increases in after-school programs (ASPs), it is important to examine the impact of this engagement on students' academic achievement, STEM participation, and affinity toward STEM. Results of these examinations can offer insights into both best practices that could be…
Descriptors: After School Programs, High School Students, STEM Education, Student Participation
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Geller, Karly S.; Dzewaltowski, David A.; Rosenkranz, Richard R.; Karteroliotis, Konstantinos – Journal of School Health, 2009
Background: Social cognitive theory describes self-efficacy and proxy efficacy as influences on fruit and vegetable consumption (FVC). Proxy efficacy was defined as a child's confidence in his or her skills and abilities to get others to act in one's interests to provide fruit and vegetable (FV) opportunities. The purpose of this study was to…
Descriptors: Self Efficacy, Factor Analysis, Nutrition, Dietetics
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Anderson-Butcher, Dawn; Conroy, David E. – Educational and Psychological Measurement, 2002
Examined the factorial validity, internal consistency, and predictive validity of scores form a measure of belonging to an after-school youth development program. Confirmatory factor analysis based on results from 309 and 185 participants (aged 9 to 16 years) yielded a 5-item measure with high internal consistency estimates and scores positively…
Descriptors: Adolescents, After School Programs, Children, Elementary Secondary Education
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Zhang, James J.; Lam, Eddie T. C.; Smith, Dennis W.; Fleming, David S.; Connaughton, Dan P. – Measurement in Physical Education and Exercise Science, 2006
The purpose of this study was to develop the Scale for Program Facilitators (SPF) to assess the effectiveness of after school achievement programs through four steps: (a) identification of a theoretical framework, (b) formulation of the initial scale, (c) test of content validity, and (d) conducting confirmatory factor analyses (CFA). A…
Descriptors: Content Validity, After School Programs, Measures (Individuals), Program Effectiveness