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Yang, Ji Seung; Cai, Li – Grantee Submission, 2014
The main purpose of this study is to improve estimation efficiency in obtaining maximum marginal likelihood estimates of contextual effects in the framework of nonlinear multilevel latent variable model by adopting the Metropolis-Hastings Robbins-Monro algorithm (MH-RM; Cai, 2008, 2010a, 2010b). Results indicate that the MH-RM algorithm can…
Descriptors: Computation, Hierarchical Linear Modeling, Mathematics, Context Effect
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Groen, Jeffrey A. – Education Finance and Policy, 2016
The goal of this paper is to estimate the impact of labor demand on time to the doctorate. Empirical investigation of this relationship in previous research was hampered by the difficulty of measuring labor demand. I construct a measure of labor demand in seven fields in the humanities and social sciences based on the annual number of job listings…
Descriptors: Labor Needs, Doctoral Programs, Time to Degree, Occupational Information
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Pantelis, Peter C.; Kennedy, Daniel P. – Autism: The International Journal of Research and Practice, 2016
Two-phase designs in epidemiological studies of autism prevalence introduce methodological complications that can severely limit the precision of resulting estimates. If the assumptions used to derive the prevalence estimate are invalid or if the uncertainty surrounding these assumptions is not properly accounted for in the statistical inference…
Descriptors: Foreign Countries, Pervasive Developmental Disorders, Autism, Incidence
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Peng, Peng; Namkung, Jessica; Barnes, Marcia; Sun, Congying – Journal of Educational Psychology, 2016
The purpose of this meta-analysis was to determine the relation between mathematics and working memory (WM) and to identify possible moderators of this relation including domains of WM, types of mathematics skills, and sample type. A meta-analysis of 110 studies with 829 effect sizes found a significant medium correlation of mathematics and WM, r…
Descriptors: Meta Analysis, Mathematics, Short Term Memory, Mathematics Skills
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Sella, Francesco; Sader, Elie; Lolliot, Simon; Cohen Kadosh, Roi – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Recent studies have highlighted the potential role of basic numerical processing in the acquisition of numerical and mathematical competences. However, it is debated whether high-level numerical skills and mathematics depends specifically on basic numerical representations. In this study mathematicians and nonmathematicians performed a basic…
Descriptors: Numbers, Cognitive Processes, Mathematics Skills, Professional Personnel
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Westine, Carl D. – American Journal of Evaluation, 2016
Little is known empirically about intraclass correlations (ICCs) for multisite cluster randomized trial (MSCRT) designs, particularly in science education. In this study, ICCs suitable for science achievement studies using a three-level (students in schools in districts) MSCRT design that block on district are estimated and examined. Estimates of…
Descriptors: Efficiency, Evaluation Methods, Science Achievement, Correlation
Schmitt, Lisa; Hutchins, Shaun – Online Submission, 2016
This report provides an overview of the process used to derive a school's growth level and summarizes 2015 math and reading/ELA growth levels for all AISD elementary, middle and high schools. Additionally, longitudinal data are provided for each school level.
Descriptors: School Districts, Academic Achievement, Elementary School Students, Middle School Students
Okwan, Phyllis – ProQuest LLC, 2016
This research focused on performance indicators for elementary and middle school students. Performance indicators are factors that could hinder or enhance early childhood education. For instance, poverty affects a child's development and educational outcomes beginning in the formative years, both directly and indirectly through mediated,…
Descriptors: Elementary School Students, Middle School Students, Poverty, Early Childhood Education
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Cakir, Murat Perit; Cakir, Nur; Ayaz, Hasan; Lee, Frank J. – AERA Online Paper Repository, 2016
In this study we examined the effectiveness of a mobile game called MathDash for improving computational fluency as compared to a conventional drill and practice approach with computerized multiple-choice test items. An optical brain imaging method called functional near-infrared spectroscopy (fNIR) was utilized to assess changes in neural…
Descriptors: Computer Games, Multiple Choice Tests, Mathematics Tests, Brain Hemisphere Functions
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Sella, Francesco; Berteletti, Ilaria; Lucangeli, Daniela; Zorzi, Marco – Developmental Psychology, 2015
In the number-to-position task, with increasing age and numerical expertise, children's pattern of estimates shifts from a biased (nonlinear) to a formal (linear) mapping. This widely replicated finding concerns symbolic numbers, whereas less is known about other types of quantity estimation. In Experiment 1, Preschool, Grade 1, and Grade 3…
Descriptors: Computation, Numbers, Preschool Children, Grade 1
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Culpepper, Steven Andrew – Journal of Educational and Behavioral Statistics, 2015
A Bayesian model formulation of the deterministic inputs, noisy "and" gate (DINA) model is presented. Gibbs sampling is employed to simulate from the joint posterior distribution of item guessing and slipping parameters, subject attribute parameters, and latent class probabilities. The procedure extends concepts in Béguin and Glas,…
Descriptors: Bayesian Statistics, Models, Sampling, Computation
Dorko, Allison; Speer, Natasha – Investigations in Mathematics Learning, 2015
Units of measure are critical in many scientific fields. While instructors often note that students struggle with units, little research has been conducted about the nature and extent of these difficulties or why they exist. We investigated calculus students' unit use in area and volume computations. Seventy-three percent of students gave…
Descriptors: Undergraduate Students, College Mathematics, Calculus, Geometric Concepts
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Arzumanyan, George; Halcoussis, Dennis; Phillips, G. Michael – American Journal of Business Education, 2015
This paper presents the Agresti & Coull "Adjusted Wald" method for computing confidence intervals and margins of error for common proportion estimates. The presented method is easily implementable by business students and practitioners and provides more accurate estimates of proportions particularly in extreme samples and small…
Descriptors: Business Administration Education, Error of Measurement, Error Patterns, Intervals
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Thevenot, Catherine; Castel, Caroline; Danjon, Juliette; Fayol, Michel – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Determining adults' and children's strategies in mental arithmetic constitutes a central issue in the domain of numerical cognition. However, despite the considerable amount of research on this topic, the conclusions in the literature are not always coherent. Therefore, there is a need to carry on the investigation, and this is the reason why we…
Descriptors: Experimental Psychology, Arithmetic, Cognitive Processes, Recognition (Psychology)
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Gerhardt, Ira – PRIMUS, 2015
An experiment was conducted over three recent semesters of an introductory calculus course to test whether it was possible to quantify the effect that difficulty with basic algebraic and arithmetic computation had on individual performance. Points lost during the term were classified as being due to either algebraic and arithmetic mistakes…
Descriptors: Mathematics Instruction, College Mathematics, Undergraduate Study, Calculus
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