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Odell, Evan – Educational Research, 2017
Background: School improvement initiatives in England have focused on urban areas, which have traditionally been home to larger numbers of poor and underperforming pupils. Previous research has found that rural regions of the country have had higher overall educational attainment due to their greater affluence. However, that broad picture could be…
Descriptors: Foreign Countries, Geographic Isolation, Educational Attainment, Educational Improvement
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Smith, Andrea D.; Herle, Moritz; Fildes, Alison; Cooke, Lucy; Steinsbekk, Silje; Llewellyn, Clare H. – Journal of Child Psychology and Psychiatry, 2017
Background: "Food fussiness" (FF) is the tendency to be highly selective about which foods one is willing to eat, and emerges in early childhood; "food neophobia" (FN) is a closely related characteristic but specifically refers to rejection of unfamiliar food. These behaviors are associated, but the extent to which their…
Descriptors: Food, Fear, Genetics, Environmental Influences
National Centre for Vocational Education Research (NCVER), 2017
This publication provides a summary of data relating to students, programs, subjects and training providers in Australia's government-funded vocational education and training (VET) system (defined as Commonwealth and state/territory government-funded training). Data for the Government-funded students and courses series are received by the National…
Descriptors: Foreign Countries, Vocational Education, School Statistics, Federal Programs
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Kautz, Tim; Schochet, Peter Z.; Tilley, Charles – National Center for Education Evaluation and Regional Assistance, 2017
A new design-based theory has recently been developed to estimate impacts for randomized controlled trials (RCTs) and basic quasi-experimental designs (QEDs) for a wide range of designs used in social policy research (Imbens & Rubin, 2015; Schochet, 2016). These methods use the potential outcomes framework and known features of study designs…
Descriptors: Design, Randomized Controlled Trials, Quasiexperimental Design, Research Methodology
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Schochet, Peter Z. – National Center for Education Evaluation and Regional Assistance, 2017
Design-based methods have recently been developed as a way to analyze data from impact evaluations of interventions, programs, and policies (Imbens and Rubin, 2015; Schochet, 2015, 2016). The estimators are derived using the building blocks of experimental designs with minimal assumptions, and are unbiased and normally distributed in large samples…
Descriptors: Design, Randomized Controlled Trials, Quasiexperimental Design, Research Methodology
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Peter Z. Schochet – National Center for Education Evaluation and Regional Assistance, 2017
Design-based methods have recently been developed as a way to analyze data from impact evaluations of interventions, programs, and policies. The impact estimators are derived using the building blocks of experimental designs with minimal assumptions, and have good statistical properties. The methods apply to randomized controlled trials (RCTs) and…
Descriptors: Design, Randomized Controlled Trials, Quasiexperimental Design, Research Methodology
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Hinnerich, Bjorn Tyrefors; Höglin, Erik; Johannesson, Magnus – Education Economics, 2015
We rigorously test for discrimination against students with foreign backgrounds in high school grading in Sweden. We analyse a random sample of national tests in the Swedish language graded both non-blindly by the student's own teacher and blindly without any identifying information. The increase in the test score due to non-blind grading is…
Descriptors: Foreign Countries, Public Schools, High Schools, Educational Discrimination
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Baek, Eun Kyeng; Petit-Bois, Merlande; Van den Noortgate, Wim; Beretvas, S. Natasha; Ferron, John M. – Journal of Special Education, 2016
In special education, multilevel models of single-case research have been used as a method of estimating treatment effects over time and across individuals. Although multilevel models can accurately summarize the effect, it is known that if the model is misspecified, inferences about the effects can be biased. Concern with the potential for model…
Descriptors: Models, Case Studies, Special Education, Outcomes of Treatment
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Devlieger, Ines; Mayer, Axel; Rosseel, Yves – Educational and Psychological Measurement, 2016
In this article, an overview is given of four methods to perform factor score regression (FSR), namely regression FSR, Bartlett FSR, the bias avoiding method of Skrondal and Laake, and the bias correcting method of Croon. The bias correcting method is extended to include a reliable standard error. The four methods are compared with each other and…
Descriptors: Regression (Statistics), Comparative Analysis, Structural Equation Models, Monte Carlo Methods
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Marron, Megan M.; Wahed, Abdus S. – Journal of Statistics Education, 2016
Missing data mechanisms, methods of handling missing data, and the potential impact of missing data on study results are usually not taught until graduate school. However, the appropriate handling of missing data is fundamental to biomedical research and should be introduced earlier on in a student's education. The Summer Institute for Training in…
Descriptors: Summer Programs, Undergraduate Students, Data, Statistics
Tucker, Tiffany G. – ProQuest LLC, 2016
The purpose of this research study was to compare the impact of Teacher-Set Accelerated Reader goals (TSAR) with Student-Set Accelerated Reader goals (SSAR) of fourth- and fifth-grade students. The goal of this research study was to determine which type of goal setting approach influences reading growth the most as measured by the easyCBM…
Descriptors: Reading Instruction, Reading Comprehension, Goal Orientation, Student Attitudes
Whitney, Camille R.; Liu, Jing – Stanford Center for Education Policy Analysis, 2016
For schools and teachers to help students develop knowledge and skills, students need to show up to class. Yet absenteeism is high, especially in high schools. This study uses a rich dataset tracking class attendance by day for over 50,000 middle and high school students from an urban district in Academic Years 2007-'08 through 2012-'13. Our…
Descriptors: Secondary Schools, Attendance, Urban Schools, School Statistics
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Rafferty, Anna N.; Jansen, Rachel A.; Griffiths, Thomas L. – Cognitive Science, 2020
Online educational technologies offer opportunities for providing individualized feedback and detailed profiles of students' skills. Yet many technologies for mathematics education assess students based only on the correctness of either their final answers or responses to individual steps. In contrast, examining the choices students make for how…
Descriptors: Computer Assisted Testing, Mathematics Tests, Mathematics Skills, Student Evaluation
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Ossewaarde, Roelant; Jonkers, Roel; Jalvingh, Fedor; Bastiaanse, Roelien – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Corpus analyses of spontaneous language fragments of varying length provide useful insights in the language change caused by brain damage, such as caused by some forms of dementia. Sample size is an important experimental parameter to consider when designing spontaneous language analyses studies. Sample length influences the confidence…
Descriptors: Speech Communication, Dementia, Computational Linguistics, Neurological Impairments
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Bargagliotti, Anna; Binder, Wendy; Blakesley, Lance; Eusufzai, Zaki; Fitzpatrick, Ben; Ford, Maire; Huchting, Karen; Larson, Suzanne; Miric, Natasha; Rovetti, Robert; Seal, Kala; Zachariah, Thomas – Journal of Statistics Education, 2020
It is imperative to foster data acumen in our university student population in order to respond to an increased attention to statistics in society and in the workforce, as well as to contribute to improved career preparation for students. This article discusses 13 learning outcomes that represent achievement of undergraduate data acumen for…
Descriptors: Undergraduate Students, Statistics, Academic Achievement, Outcomes of Education
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