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Showing 1 to 15 of 20 results Save | Export
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Ting Zhang; Paul Bailey; Yuqi Liao; Emmanuel Sikali – Large-scale Assessments in Education, 2024
The EdSurvey package helps users download, explore variables in, extract data from, and run analyses on large-scale assessment data. The analysis functions in EdSurvey account for the use of plausible values for test scores, survey sampling weights, and their associated variance estimator. We describe the capabilities of the package in the context…
Descriptors: National Competency Tests, Information Retrieval, Data Collection, Test Validity
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Bowen, Natasha K.; Lucio, Robert; Patak-Pietrafesa, Michele; Bowen, Gary L. – Children & Schools, 2020
To support student success effectively, school teams need information on known predictors of youth behavior and academic performance. In contrast to measures of behavioral and academic outcomes that are commonly relied on in schools, the School Success Profile (SSP) for middle and high school students provides comprehensive information on…
Descriptors: Success, Predictor Variables, Behavior, Expectation
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Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
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Wu, Fati; Lai, Song – Distance Education, 2019
Open, flexible and distance learning has become part of mainstream education in China. Using a blended learning program in a Chinese high school as the case, this study adopted data-mining approaches to establish predictive models using personality traits. Results showed that, for students with high OE and low extraversion, and students who are…
Descriptors: Personality Traits, Learning Analytics, Foreign Countries, At Risk Students
Chang, Hedy N.; Gee, Kevin; Hennessy, Briana; Alexandro, David; Gopalakrishnan, Ajit – Attendance Works, 2021
This report describes how Connecticut took steps to collect consistent attendance data by learning mode -- remote, in-person and hybrid -- and publicly released data in a timely manner during the pandemic. For example, the Connecticut State Department of Education (CSDE) agreed upon a standard definition of attendance -- showing up to school for…
Descriptors: Attendance, COVID-19, Pandemics, Data Collection
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Regional Educational Laboratory Pacific, 2021
These are the appendices to the report, "Using High School Data to Predict College Success in Palau" (ED610714). Prior research, particularly for the United States, has shown that earning a community college credential increases an individual's likelihood of gaining stable employment, earning a living wage, and working in a higher-paying…
Descriptors: Foreign Countries, College Readiness, High School Students, College Preparation
Geiser, Kristin; Fehrer, Kendra; Pyne, Jaymes; Gerstein, Amy; Harrison, Vicki; Joshi, Shashank – John W. Gardner Center for Youth and Their Communities, 2019
According to national indicators of adolescent health and well-being, the most significant health issues young people face are related to mental health. In San Mateo County, a recent report on adolescent health frames the prevalence of mental health needs among public school students as "staggering." Both locally and nationally, schools…
Descriptors: Adolescents, Child Health, Well Being, Mental Health
Geiser, Kristin; Fehrer, Kendra; Pyne, Jaymes; Gerstein, Amy; Harrison, Vicki; Joshi, Shashank – John W. Gardner Center for Youth and Their Communities, 2019
According to national indicators of adolescent health and well-being, mental health is one of the most significant health issues young people face. Since mental health is linked to other aspects of health and well-being, undiagnosed and untreated mental health conditions can negatively impact a young person's social-emotional health, academic…
Descriptors: Adolescents, Child Health, Well Being, Mental Health
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Martínez Abad, Fernando; Chaparro Caso López, Alicia A. – School Effectiveness and School Improvement, 2017
In light of the emergence of statistical analysis techniques based on data mining in education sciences, and the potential they offer to detect non-trivial information in large databases, this paper presents a procedure used to detect factors linked to academic achievement in large-scale assessments. The study is based on a non-experimental,…
Descriptors: Foreign Countries, Data Collection, Statistical Analysis, Evaluation Methods
Lawrence, K. S. – National Center on Schoolwide Inclusive School Reform: The SWIFT Center, 2016
This brief describes how to use a free online behavior screener to identify student support needs in middle and high schools. Inclusive Behavior Instruction utilizes data to identify appropriate social-emotional supports for all students. The Lane et al. (2016) study demonstrated system-wide use of a free online behavior screener at the middle and…
Descriptors: Screening Tests, Student Behavior, Behavior Problems, Middle School Students
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Patel, Sita G.; Clarke, Annette V.; Eltareb, Fazia; Macciomei, Erynn E.; Wickham, Robert E. – School Psychology Quarterly, 2016
Family stressors predict negative psychological outcomes for immigrant adolescents, yet little is known about how such stressors interact to predict school outcomes. The purpose of this study was to explore the interactive role of family stressors on school outcomes for newcomer adolescent immigrants. Using a convergent parallel mixed-methods…
Descriptors: High School Students, Adolescents, Immigrants, Mixed Methods Research
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Cumming, John M.; Gloeckner, Gene W. – Administrative Issues Journal: Education, Practice, and Research, 2012
After interviewing homeless high school students, the research team in a Colorado school district discovered that many students had not revealed their true living conditions (homelessness) to anyone in the school district. This research team developed an anonymous survey written around the homeless categories identified in the McKinney-Vento…
Descriptors: Homeless People, High School Students, Surveys, School Districts
National High School Center, 2011
The United States high school dropout problem has been called a national crisis, with only 74.9% of public high school students graduating with a diploma in 2008. With states and districts under mounting pressure to raise graduation rates, there is increasing urgency to obtain more accurate and timely data to systematically identify students most…
Descriptors: Dropout Prevention, Dropouts, At Risk Students, Student Needs
Shealy, Linda C. – ProQuest LLC, 2011
Over one million high school students drop out of school each year in this country. Dropping out of school is a serious problem for the student, community, and the nation. Often dropouts are unable to compete in an increasingly technological society and face numerous consequences from their decision to leave school early including higher levels of…
Descriptors: Dropouts, High School Students, High School Graduates, Identification
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Chang, Kuo-En; Lan, Yu-Ju; Chang, Chien-Mei; Sung, Yao-Ting – Innovations in Education and Teaching International, 2010
The work described in this paper explores the feasibility of using of a wireless handheld system (WHS) that supports the individual and co-operative reading activities of students and helps teachers implement reading strategy instruction in Chinese language classes. The experimental findings demonstrate that the WHS benefits students applying…
Descriptors: Foreign Countries, Reading Comprehension, Reading Strategies, Reading Instruction
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