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Tuttle, Christina Clark; Gleason, Philip; Knechtel, Virginia; Nichols-Barrer, Ira; Booker, Kevin; Chojnacki, Gregory; Coen, Thomas; Goble, Lisbeth – Mathematica Policy Research, Inc., 2015
KIPP (Knowledge is Power Program) is a national network of public charter schools whose stated mission is to help underserved students enroll in and graduate from college. Prior studies (see Tuttle et al. 2013) have consistently found that attending a KIPP middle school positively affects student achievement, but few have addressed longer-term…
Descriptors: Academic Achievement, Charter Schools, Educational Innovation, Institutional Characteristics
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Iliopoulos, G.; Kateri, M.; Ntzoufras, I. – Psychometrika, 2009
Association models constitute an attractive alternative to the usual log-linear models for modeling the dependence between classification variables. They impose special structure on the underlying association by assigning scores on the levels of each classification variable, which can be fixed or parametric. Under the general row-column (RC)…
Descriptors: Markov Processes, Classification, Bayesian Statistics, Probability
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Sobel, David M.; Munro, Sarah E. – Developmental Psychology, 2009
In 5 experiments the authors examined children's understanding of causal mechanisms and their reasoning about base rates across domains of knowledge. Experiment 1 showed that 3-year-olds interpret objects activating a machine differently from a novel agent liking each object; children are more likely to treat the latter as indicating the objects…
Descriptors: Statistical Inference, Inferences, Influences, Young Children
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Andrew, Megan; Hauser, Robert M. – Social Forces, 2011
Sociologists have long used educational expectations to understand the complex mental processes underlying individuals' educational decision making. Yet, little research evaluates how students actually formulate their educational expectations. Status attainment theory asserts that students adopt their educational expectations early based on family…
Descriptors: Learning Theories, Grade Point Average, Family Characteristics, Academic Achievement
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Kieftenbeld, Vincent; Natesan, Prathiba; Eddy, Colleen – Journal of Psychoeducational Assessment, 2011
The mathematics teaching efficacy beliefs of preservice elementary teachers have been the subject of several studies. A widely used measure in these studies is the Mathematics Teaching Efficacy Beliefs Instrument (MTEBI). The present study provides a detailed analysis of the psychometric properties of the MTEBI using Bayesian item response theory.…
Descriptors: Item Response Theory, Bayesian Statistics, Mathematics Instruction, Preservice Teachers
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Bolfarine, Heleno; Bazan, Jorge Luis – Journal of Educational and Behavioral Statistics, 2010
A Bayesian inference approach using Markov Chain Monte Carlo (MCMC) is developed for the logistic positive exponent (LPE) model proposed by Samejima and for a new skewed Logistic Item Response Theory (IRT) model, named Reflection LPE model. Both models lead to asymmetric item characteristic curves (ICC) and can be appropriate because a symmetric…
Descriptors: Markov Processes, Item Response Theory, Bayesian Statistics, Monte Carlo Methods
Jackl, Andrew – Wake County Public School System, 2012
Wake County Public School System (WCPSS) Professional Learning Teams (PLTs) survey responses have been positive over time, reaching a high plateau for the last three years. Analyses of High Five PLT Survey data from 2007-12 show that in 2011-12, high percentages (87.2%) of WCPSS teachers responding to the High Five PLT Survey provided positive…
Descriptors: Teacher Surveys, Teacher Attitudes, Effect Size, Achievement Gains
Clark, Christina – National Literacy Trust, 2014
This report presents second year information about the degree to which children and young people in Middlesbrough enjoy reading and writing, how often then engage in reading and writing, what types of materials they read and write and how they feel about reading and writing. It also outlines information about their confidence in their own…
Descriptors: Foreign Countries, Literacy, Reading Attitudes, Reading Habits
Hershkovitz, Arnon; Baker, Ryan S. J. d.; Gobert, Janice; Wixon, Michael; Sao Pedro, Michael – Grantee Submission, 2013
In recent years, an increasing number of analyses in Learning Analytics and Educational Data Mining (EDM) have adopted a "Discovery with Models" approach, where an existing model is used as a key component in a new EDM/analytics analysis. This article presents a theoretical discussion on the emergence of discovery with models, its…
Descriptors: Learning Analytics, Models, Learning Processes, Case Studies
Karabatsos, George; Walker, Stephen G. – Society for Research on Educational Effectiveness, 2011
Karabatsos and Walker (2011) introduced a new Bayesian nonparametric (BNP) regression model. Through analyses of real and simulated data, they showed that the BNP regression model outperforms other parametric and nonparametric regression models of common use, in terms of predictive accuracy of the outcome (dependent) variable. The other,…
Descriptors: Bayesian Statistics, Regression (Statistics), Nonparametric Statistics, Statistical Inference
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Zwick, Rebecca; Lenaburg, Lubella – Journal of Educational and Behavioral Statistics, 2009
In certain data analyses (e.g., multiple discriminant analysis and multinomial log-linear modeling), classification decisions are made based on the estimated posterior probabilities that individuals belong to each of several distinct categories. In the Bayesian network literature, this type of classification is often accomplished by assigning…
Descriptors: Classification, Bayesian Statistics, Network Analysis, Probability
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Li, Feiming; Cohen, Allan S.; Kim, Seock-Ho; Cho, Sun-Joo – Applied Psychological Measurement, 2009
This study examines model selection indices for use with dichotomous mixture item response theory (IRT) models. Five indices are considered: Akaike's information coefficient (AIC), Bayesian information coefficient (BIC), deviance information coefficient (DIC), pseudo-Bayes factor (PsBF), and posterior predictive model checks (PPMC). The five…
Descriptors: Item Response Theory, Models, Selection, Methods
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Chieu, Vu Minh; Luengo, Vanda; Vadcard, Lucile; Tonetti, Jerome – International Journal of Artificial Intelligence in Education, 2010
Cognitive approaches have been used for student modeling in intelligent tutoring systems (ITSs). Many of those systems have tackled fundamental subjects such as mathematics, physics, and computer programming. The change of the student's cognitive behavior over time, however, has not been considered and modeled systematically. Furthermore, the…
Descriptors: Foreign Countries, Medical Students, Surgery, Human Body
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Maraun, Michael; Gabriel, Stephanie – Psychological Methods, 2010
In his article, "An Alternative to Null-Hypothesis Significance Tests," Killeen (2005) urged the discipline to abandon the practice of "p[subscript obs]"-based null hypothesis testing and to quantify the signal-to-noise characteristics of experimental outcomes with replication probabilities. He described the coefficient that he…
Descriptors: Hypothesis Testing, Statistical Inference, Probability, Statistical Significance
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Hsieh, Chueh-An; von Eye, Alexander A.; Maier, Kimberly S. – Multivariate Behavioral Research, 2010
The application of multidimensional item response theory models to repeated observations has demonstrated great promise in developmental research. It allows researchers to take into consideration both the characteristics of item response and measurement error in longitudinal trajectory analysis, which improves the reliability and validity of the…
Descriptors: Item Response Theory, Change, Adolescents, Social Isolation
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