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McCarron, Mary; Carroll, Rachael; Kelly, Caraiosa; McCallion, Philip – Journal of Applied Research in Intellectual Disabilities, 2015
Background:Historically, there has been higher and earlier mortality among people with intellectual disability as compared to the general population, but there have also been methodological problems and differences in the available studies. Method: Data were drawn from the 2012 National Intellectual Disability Database and the Census in Ireland. A…
Descriptors: Mortality Rate, Death, Mental Retardation, Computation
Hula, William D.; Kellough, Stacey; Fergadiotis, Gerasimos – Journal of Speech, Language, and Hearing Research, 2015
Purpose: The purpose of this study was to develop a computerized adaptive test (CAT) version of the Philadelphia Naming Test (PNT; Roach, Schwartz, Martin, Grewal, & Brecher, 1996), to reduce test length while maximizing measurement precision. This article is a direct extension of a companion article (Fergadiotis, Kellough, & Hula, 2015),…
Descriptors: Computer Assisted Testing, Adaptive Testing, Naming, Test Construction
Chung, Yeojin; Gelman, Andrew; Rabe-Hesketh, Sophia; Liu, Jingchen; Dorie, Vincent – Journal of Educational and Behavioral Statistics, 2015
When fitting hierarchical regression models, maximum likelihood (ML) estimation has computational (and, for some users, philosophical) advantages compared to full Bayesian inference, but when the number of groups is small, estimates of the covariance matrix (S) of group-level varying coefficients are often degenerate. One can do better, even from…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Bayesian Statistics, Statistical Inference
Allen, Bradley; Liu, Tongtian – Physics Teacher, 2015
Calculating the effective resistance of an electrical network is a common problem in introductory physics courses. Such calculations are typically restricted to two-dimensional networks, though even such networks can become increasingly complex, leading to several studies on their properties. Furthermore, several authors have used advanced…
Descriptors: Electronics, Physics, Computation, Introductory Courses
Galetic, Fran – Bulgarian Comparative Education Society, 2015
This paper analyzes the government expenditures as the percentage of gross domestic product across countries of the European Union. There is a statistical model based on Z-score, whose aim is to calculate how much each EU country deviates from the average value. The model shows that government expenditures on education vary significantly between…
Descriptors: Foreign Countries, Expenditures, Educational Finance, Federal Aid
Chung, Yeojin; Gelman, Andrew; Rabe-Hesketh, Sophia; Liu, Jingchen; Dorie, Vincent – Grantee Submission, 2015
When fitting hierarchical regression models, maximum likelihood (ML) estimation has computational (and, for some users, philosophical) advantages compared to full Bayesian inference, but when the number of groups is small, estimates of the covariance matrix [sigma] of group-level varying coefficients are often degenerate. One can do better, even…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Bayesian Statistics, Statistical Inference
Royal, Kenneth D.; Flammer, Keven – Online Submission, 2015
Background: Evaluating diversity, inclusivity, and equity remains both a prevalent topic in education and a difficult challenge for most evaluators. Traditional metrics used to evaluate these constructs include questionnaires, focus groups, and anonymous comment solicitations. While each of these approaches offer value, they also possess a number…
Descriptors: Evaluation Methods, Equal Education, Student Diversity, Academic Achievement
Wang, Xu; Yang, Diyi; Wen, Miaomiao; Koedinger, Kenneth; Rosé, Carolyn P. – International Educational Data Mining Society, 2015
While MOOCs undoubtedly provide valuable learning resources for students, little research in the MOOC context has sought to evaluate students' learning gains in the environment. It has been long acknowledged that conversation is a significant way for students to construct knowledge and learn. However, rather than studying learning in MOOC…
Descriptors: Online Courses, Discussion Groups, Student Behavior, Cognitive Processes
Martori, Francesc; Cuadros, Jordi; González-Sabaté, Lucinio – International Educational Data Mining Society, 2015
Student modeling can help guide the behavior of a cognitive tutor system and provide insight to researchers on understanding how students learn. In this context, Bayesian Knowledge Tracing (BKT) is one of the most popular knowledge inference models due to its predictive accuracy, interpretability and ability to infer student knowledge. However,…
Descriptors: Bayesian Statistics, Inferences, Prediction, Accuracy
Retnawati, Heri; Kartowagiran, Badrun; Arlinwibowo, Janu; Sulistyaningsih, Eny – International Journal of Instruction, 2017
The quality of national examination items plays an enormous role in identifying students' competencies mastery and their difficulties. This study aims to identify the difficult items in the Junior High School Mathematics National Examination, to find the factors that cause students' difficulty and to reveal the strategies that the teachers and the…
Descriptors: Standardized Tests, National Standards, Mathematics Tests, Test Items
Hopkins, Sarah; Bayliss, Donna – Mathematical Thinking and Learning: An International Journal, 2017
In this research, we examined how 200 students in seventh grade (around 12 years old) solved simple addition problems. A cluster approach revealed that less than half of the cohort displayed proficiency with simple addition: 35% predominantly used min-counting and were accurate, and 16% frequently made min-counting errors. Students who frequently…
Descriptors: Middle School Students, Grade 7, Problem Solving, Mathematics Skills
Sedaghatjou, Mina; Campbell, Stephen R. – International Journal of Mathematical Education in Science and Technology, 2017
This paper explores how a young child (56 m) builds an understanding of the cardinality principle through communicative, touchscreen-based activities involving talk, gesture and body engagement working via multimodal, touchscreen interface using contemporary mobile technology. Drawing upon Nemirovsky's perceptuomotor integration theoretical lens…
Descriptors: Manipulative Materials, Phenomenology, Preschool Children, Mathematics Instruction
Ainley, Janet; Pratt, Dave – Statistics Education Research Journal, 2017
Previous research has demonstrated how young children can identify the signal in data. In this exploratory study we considered how they might also express meanings for noise when creating computational models using recent developments in software tools. We conducted extended clinical interviews with four groups of 11-year-olds and analysed the…
Descriptors: Computation, Models, Children, Interviews
Campbell, Adelle C. – ProQuest LLC, 2017
This study examined the predictive relationship of a brief computation measure administered in the fall, winter, and spring of first, second, and third grade with the mathematic portion of a state-mandated academic achievement test administered in the spring of third grade. The relationship between mathematical achievement and resource…
Descriptors: Multiple Regression Analysis, Correlation, Grade 1, Grade 2
Landgrave, Michelangelo; Nowrasteh, Alex – Cato Institute, 2017
President Trump is considering a cancellation of the Deferred Action for Childhood Arrivals (DACA) program. DACA grants temporary work permits and lawful immigration presence to many young illegal immigrants who were brought to the United States as children. A potential DACA beneficiary is called a "DREAMer," a term derived from the 2001…
Descriptors: Federal Legislation, Undocumented Immigrants, Children, Crime

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