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Shear, Benjamin R.; Reardon, Sean F. – Journal of Educational and Behavioral Statistics, 2021
This article describes an extension to the use of heteroskedastic ordered probit (HETOP) models to estimate latent distributional parameters from grouped, ordered-categorical data by pooling across multiple waves of data. We illustrate the method with aggregate proficiency data reporting the number of students in schools or districts scoring in…
Descriptors: Statistical Analysis, Computation, Regression (Statistics), Sample Size
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Nam, Yeji; Hong, Sehee – Educational and Psychological Measurement, 2021
This study investigated the extent to which class-specific parameter estimates are biased by the within-class normality assumption in nonnormal growth mixture modeling (GMM). Monte Carlo simulations for nonnormal GMM were conducted to analyze and compare two strategies for obtaining unbiased parameter estimates: relaxing the within-class normality…
Descriptors: Probability, Models, Statistical Analysis, Statistical Distributions
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Schuler, Kathryn D.; Reeder, Patricia A.; Newport, Elissa L.; Aslin, Richard N. – Language Learning and Development, 2017
Successful language acquisition hinges on organizing individual words into grammatical categories and learning the relationships between them, but the method by which children accomplish this task has been debated in the literature. One proposal is that learners use the shared distributional contexts in which words appear as a cue to their…
Descriptors: Artificial Languages, Grammar, Classification, Word Frequency
Imbens, Guido W.; Rubin, Donald B. – Cambridge University Press, 2015
Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding…
Descriptors: Causal Models, Statistical Inference, Statistics, Social Sciences
Slama, Rachel; Haynes, Erin; Sacks, Lynne; Lee, Dong Hoon; August, Diane – American Institutes for Research, 2015
The present study was commissioned by the Massachusetts Department of Elementary and Secondary Education (ESE) to provide a profile of Massachusetts English Language Learners (ELLs) and policy recommendations for improving their outcomes. ESE was concerned about previous study findings that most of these learners exited ELL instructional programs…
Descriptors: English Language Learners, Profiles, Elementary Secondary Education, Statistical Distributions
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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
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Wilson, Gloria Lodato; Kim, Sun A.; Michaels, Craig A. – Journal of Special Education, 2013
The focus of this study was on increasing the knowledge base on students with disabilities at the secondary level. Data were gathered on 559 classified secondary students with disabilities served in four educational options: cotaught classes, resource rooms, alternate day support programs, and no direct supports. Results indicate that there are…
Descriptors: Secondary School Students, Disabilities, Classification, Student Placement
Chambers, Jay G.; Brodziak, Iliana; Levin, Jesse; Cruz, Lisa – Strategic School Funding for Results, 2011
This Analysis Brief shows how per-pupil spending varies with student poverty (as measured by the percent of students eligible for free or reduced price lunch) across elementary, middle, and high schools in Pasadena Unified School District (PUSD). The authors have carried out separate analyses that make use of the California Standardized Account…
Descriptors: Expenditure per Student, Educational Finance, Resource Allocation, Strategic Planning
Kinkead, John Clinton, II – ProQuest LLC, 2009
This study had two primary objectives. First, this study sought to create a classification system to which publicly-controlled Carnegie classified Master's Colleges and Universities could be grouped according to geographical service (rural-serving, suburban-serving, or urban-serving. Second, once the classification system was developed and…
Descriptors: Doctoral Dissertations, Classification, Student Financial Aid, Public Colleges
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Bonzi, Susan; Liddy, Elizabeth – Information Processing and Management, 1989
Describes a study that supported two hypotheses concerning the use of anaphors in information retrieval: first, that anaphors tend to refer to integral concepts rather than peripheral concepts; second, that various term weighting schemes are affected differently by anaphoric resolution. The implications for the use of anaphoric resolution for…
Descriptors: Abstracts, Bibliographic Databases, Classification, Information Retrieval
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Kroeker, Rose; Touchette, Paul E.; Engleman, Laszlo; Sandman, Curt A. – American Journal on Mental Retardation, 2004
An objective method is presented to group discrete self-injurious behavior (SIB) events into bouts. Survival analysis was used to determine how long after an SIB the probability of observing a subsequent SIB remained elevated. This estimated bout length criterion time point was determined individually for 19 subjects with developmental disorders…
Descriptors: Probability, Developmental Disabilities, Self Destructive Behavior, Evaluation Criteria
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Salamy, A. – Child Development, 1981
Determines the frequency distribution of Brainstem Auditory Evoked Potential variables (BAEP) for premature babies at different stages of development--normal newborns, infants, young children, and adults. The author concludes that the assumption of normality underlying most "standard" statistical analyses can be met for many BAEP…
Descriptors: Adults, Age Differences, Auditory Stimuli, Classification