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Woods, Amelia Mays; Ayers, Suzan F. – Journal of Teaching in Physical Education, 2019
There are several factors that contribute to the shrinking supply of teachers. Fewer individuals are pursuing teaching as a career; in the United States, for example, teacher education enrollments plunged 35% between 2009 and 2014 (Berry & Shields, 2017). In direct relation to the decrease in students entering preservice teaching, fewer…
Descriptors: Physical Education Teachers, Teacher Supply and Demand, Preservice Teacher Education, Teacher Education Programs
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Kim, Minjung; Hsu, Hsien-Yuan – Journal of Educational and Behavioral Statistics, 2019
Given the natural hierarchical structure in school-setting data, multilevel modeling (MLM) has been widely employed in education research using a number of different statistical software packages. The purpose of this article is to review a recent feature of Stat-JR, the statistical analysis assistants (SAAs) embedded in Stat-JR (Version 1.0.5),…
Descriptors: Hierarchical Linear Modeling, Statistical Analysis, Computer Software, Computer Software Evaluation
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Martin, Andrew J.; Collie, Rebecca J.; Durksen, Tracy L.; Burns, Emma C.; Bostwick, Keiko C. P.; Tarbetsky, Ana L. – International Journal of Research & Method in Education, 2019
This review explores predictors and consequences of students' growth goals and growth mindset in school with particular emphasis on how correlational statistical methods can be applied to illuminate key issues and implications. Study 1 used cross-sectional data and employed structural equation modelling (SEM) to investigate the role of growth…
Descriptors: Goal Orientation, Student Educational Objectives, Predictor Variables, Statistical Analysis
Hedges, Susan H.; Odom, Samuel L.; Hume, Kara; Sam, Ann – Autism: The International Journal of Research and Practice, 2018
The purpose of this study was to examine how secondary students with autism spectrum disorder use technology in supportive ways. In this self-report survey study, 472 adolescents with autism spectrum disorder enrolled in high school described the forms of technology they use and purposes for which they use it. Students reported the benefits as…
Descriptors: Autism, Pervasive Developmental Disorders, Technology Uses in Education, Educational Technology
Hume, Kara; Dykstra Steinbrenner, Jessica; Sideris, John; Smith, Leann; Kucharczyk, Suzanne; Szidon, Kate – Autism: The International Journal of Research and Practice, 2018
Adolescents with autism spectrum disorder have limited participation in the transition planning process, despite the link between active participation and an improvement in postsecondary education and employment outcomes. The Secondary School Success Checklist was designed to support transition planning for adolescents with autism spectrum…
Descriptors: Adolescents, Autism, Pervasive Developmental Disorders, Check Lists
Villavicencio, Adriana; Klevan, Sarah; Kemple, James – Research Alliance for New York City Schools, 2018
"The Expanded Success Initiative: Challenges and Progress in the Pursuit of College and Career Readiness for Black and Latino Young Men" synthesizes findings from the Research Alliance's four-year evaluation of Expanded Success Initiative (ESI). This report, draws on hundreds of interviews and focus groups with ESI school leaders,…
Descriptors: College Readiness, Career Readiness, African American Students, Hispanic American Students
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Gezgin, Deniz Mertkan – Cypriot Journal of Educational Sciences, 2018
The aim of this study is to examine the relationship among smartphone addiction, fear of missing out (FoMO), excessive use of social networking sites (SNSs) on smartphones and sleep duration among high school students. The study group consists of 161 high school students from two state high schools in Turkey. Pearson correlation coefficient and…
Descriptors: Addictive Behavior, Handheld Devices, Correlation, Age Differences
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Wen, Cai-Ting; Chang, Chia-Jung; Chang, Ming-Hua; Fan Chiang, Shih-Hsun; Liu, Chen-Chung; Hwang, Fu-Kwun; Tsai, Chin-Chung – Instructional Science: An International Journal of the Learning Sciences, 2018
This study investigated students' modeling progress and strategies in a problem-solving simulation game through content analysis, and through supervised and unsupervised lag sequential analysis (LSA). Multiple data sources, including self-report models and activity logs, were collected from 25 senior high school students. The results of the…
Descriptors: Educational Games, Simulation, Problem Solving, Models
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Estrada, Eduardo; Ferrer, Emilio; Shaywitz, Bennett A.; Holahan, John M.; Shaywitz, Sally E. – Developmental Psychology, 2018
Identifying change at the individual level is an important goal for researchers, educators, and clinicians. We present a set of statistical procedures for identifying individuals who depart from a normative change. Using Latent Change Scores models (LCS), we illustrate how the Individual Likelihood computed from a statistical model for change…
Descriptors: Change, Children, Adolescents, Age Differences
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Kapelner, Adam; Soterwood, Jeanine; NessAiver, Shalev; Adlof, Suzanne – Grantee Submission, 2018
Vocabulary knowledge is essential to educational progress. High quality vocabulary instruction requires supportive contextual examples to teach word meaning and proper usage. Identifying such contexts by hand for a large number of words can be difficult. In this work, we take a statistical learning approach to engineer a system that predicts…
Descriptors: Vocabulary Development, Databases, Training, Models
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Mokher, Christine; Leeds, Daniel; Harris, Julie – Grantee Submission, 2018
The Florida College and Career Readiness Initiative (FCCRI) was a statewide policy requiring college readiness testing and participation in college readiness courses for high school students. We used regression discontinuity to compare outcomes for students scoring just above and below test score cutoffs for assignment to FCCRI. We also examined…
Descriptors: Career Readiness, College Readiness, Regression (Statistics), High School Students
Flowers, Claudia; Test, David W.; Povenmire-Kirk, Tiana C.; Diegelmann, Karen M.; Bunch-Crump, Kimberly R.; Kemp-Inman, Amy; Goodnight, Crystalyn I. – Journal of Special Education, 2018
Communicating Interagency Relationships and Collaborative Linkages for Exceptional Students (CIRCLES) is a transition-planning service delivery model designed to guide schools in implementing interagency collaboration. This study examined the impact of CIRCLES on students' self-determination and participation in individualized education program…
Descriptors: Disabilities, Delivery Systems, Individualized Transition Plans, Agency Cooperation
Sales, Adam C.; Hansen, Ben B.; Rowan, Brian – Journal of Educational and Behavioral Statistics, 2018
In causal matching designs, some control subjects are often left unmatched, and some covariates are often left unmodeled. This article introduces "rebar," a method using high-dimensional modeling to incorporate these commonly discarded data without sacrificing the integrity of the matching design. After constructing a match, a researcher…
Descriptors: Computation, Prediction, Models, Data
Hurd, Noelle M.; Hussain, Saida; Bradshaw, Catherine P. – Youth & Society, 2018
The current study examined whether students' perceptions of school disorder influenced their psychosocial outcomes directly and indirectly via connectedness to school. The current study also explored moderation by the presence of a supportive figure in the school and investigated gender differences. Participants were 28,104 high school students.…
Descriptors: Student Attitudes, High School Students, Educational Environment, Student Development
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Thorsteinsson, Gisli; Page, Thomas – Journal on Educational Psychology, 2018
The article reports a research that reviewed the history and content of technical related subjects in order to consider the educational areas that have caused scepticism and the creation of stigma. A literary research was undertaken to identify issues. Subsequently, the authors firstly questioned the general public in order to assess their…
Descriptors: Experiential Learning, Public Opinion, Student Attitudes, Student Experience
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