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Lyu, Weicong; Kim, Jee-Seon; Suk, Youmi – Journal of Educational and Behavioral Statistics, 2023
This article presents a latent class model for multilevel data to identify latent subgroups and estimate heterogeneous treatment effects. Unlike sequential approaches that partition data first and then estimate average treatment effects (ATEs) within classes, we employ a Bayesian procedure to jointly estimate mixing probability, selection, and…
Descriptors: Hierarchical Linear Modeling, Bayesian Statistics, Causal Models, Statistical Inference
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Kazak, Sibel; Pratt, Dave – Research in Mathematics Education, 2021
We examine the challenges of teaching probability through the use of modelling. We argue how an integrated modelling approach might facilitate a coordinated understanding of distribution by marrying theoretical and data-oriented perspectives and present probability as more connected to the social lives of modern-day students. Research is, however,…
Descriptors: Teaching Methods, Mathematics Instruction, Faculty Development, Probability
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Li, Hang; Ding, Wenbiao; Liu, Zitao – International Educational Data Mining Society, 2020
With the rapid emergence of K-12 online learning platforms, a new era of education has been opened up. It is crucial to have a dropout warning framework to preemptively identify K-12 students who are at risk of dropping out of the online courses. Prior researchers have focused on predicting dropout in Massive Open Online Courses (MOOCs), which…
Descriptors: At Risk Students, Online Courses, Elementary Secondary Education, Learning Modalities
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Beese, Jane A.; Simon, Carlee Escue; Sutton, Lenford C. – Leadership and Research in Education, 2015
We analyze the votes taken in the Ohio State Legislature pertaining to the establishment of six school voucher programs: The Ohio Scholarship and Tutoring Program, The Autism Scholarship, The Jon Peterson Special Needs Scholarship, The Educational Choice Pilot Scholarship, The Educational Choice Scholarship, and the Income-based Scholarship…
Descriptors: School Choice, Privatization, State Legislation, Educational Vouchers
Stapleton, Laura M.; Kang, Yoonjeong – Sociological Methods & Research, 2018
This research empirically evaluates data sets from the National Center for Education Statistics (NCES) for design effects of ignoring the sampling design in weighted two-level analyses. Currently, researchers may ignore the sampling design beyond the levels that they model which might result in incorrect inferences regarding hypotheses due to…
Descriptors: Probability, Hierarchical Linear Modeling, Sampling, Inferences
Bruno, Paul; Strunk, Katharine O. – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2018
Despite evidence that many schools and districts have considerable discretion when hiring teachers and the existence of an extensive literature on teacher quality, little is known about how best to hire teachers. This is, in part, because predicting teacher quality using readily-observable teacher characteristics has proven difficult and there is…
Descriptors: Teacher Selection, Employment Qualifications, Urban Schools, Screening Tests
Massachusetts Department of Elementary and Secondary Education, 2017
This Framework builds upon the foundation of the 2010 Massachusetts Curriculum Framework for Mathematics as well as versions of the Massachusetts Mathematics Framework published since 1995. The current Framework incorporates improvements suggested by Massachusetts educators after six years of experience in implementing the 2010 standards in their…
Descriptors: Elementary School Mathematics, Middle School Mathematics, Secondary School Mathematics, Preschool Education
Porter, Kristin E.; Balu, Rekha – MDRC, 2016
Education systems are increasingly creating rich, longitudinal data sets with frequent, and even real-time, data updates of many student measures, including daily attendance, homework submissions, and exam scores. These data sets provide an opportunity for district and school staff members to move beyond an indicators-based approach and instead…
Descriptors: Models, Prediction, Statistical Analysis, Elementary Secondary Education
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Yan, Zi; Sin, Kuen-fung – Cambridge Journal of Education, 2015
This study aimed at providing explanation and prediction of principals' inclusive education intentions and practices under the framework of the Theory of Planned Behaviour (TPB). A sample of 209 principals from Hong Kong schools was surveyed using five scales that were developed to assess the five components of TPB: attitude, subjective norm,…
Descriptors: Foreign Countries, Principals, Inclusion, Behavior Theories
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Hansen, Ben B.; Fredrickson, Mark M. – Society for Research on Educational Effectiveness, 2014
The goal of this research is to make sensitivity analysis accessible not only to empirical researchers but also to the various stakeholders for whom educational evaluations are conducted. To do this it derives anchors for the omitted variable (OV)-program participation association intrinsically, using the Love plot to present a wide range of…
Descriptors: Research Methodology, Quasiexperimental Design, Evaluation Methods, Comparative Analysis
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Manzeske, David; Garland, Marshall; Williams, Ryan; West, Benjamin; Kistner, Alexandra Manzella; Rapaport, Amie – Society for Research on Educational Effectiveness, 2016
High-performing teachers tend to seek out positions at more affluent or academically challenging schools, which tend to hire more experienced, effective educators. Consequently, low-income and minority students are more likely to attend schools with less experienced and less effective educators (see, for example, DeMonte & Hanna, 2014; Office…
Descriptors: Merit Pay, Teacher Effectiveness, Academic Achievement, Accuracy
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Hauser, Carl; Thum, Yeow Meng; He, Wei; Ma, Lingling – Educational and Psychological Measurement, 2015
When conducting item reviews, analysts evaluate an array of statistical and graphical information to assess the fit of a field test (FT) item to an item response theory model. The process can be tedious, particularly when the number of human reviews (HR) to be completed is large. Furthermore, such a process leads to decisions that are susceptible…
Descriptors: Test Items, Item Response Theory, Research Methodology, Decision Making
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Choi, Kilchan; Goldschmidt, Pete – Asia Pacific Education Review, 2012
Value-added models and growth-based accountability aim to evaluate school's performance based on student growth in learning. The current focus is on linking the results from value-added models to the ones from growth-based accountability systems including Adequate Yearly Progress decisions mandated by No Child Left Behind. We present a new…
Descriptors: Statistical Analysis, Models, Probability, Longitudinal Studies
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Heinrich, Carolyn J.; Nisar, Hiren – American Educational Research Journal, 2013
School districts required under No Child Left Behind (NCLB) to provide supplemental educational services (SES) to students in schools that are not making adequate yearly progress rely heavily on the private sector to offer choice in services. If the market does not drive out ineffective providers, students may not gain through SES participation.…
Descriptors: Federal Legislation, Educational Legislation, Educational Indicators, Federal Programs
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Ho, Andrew Dean – Journal of Educational and Behavioral Statistics, 2009
Problems of scale typically arise when comparing test score trends, gaps, and gap trends across different tests. To overcome some of these difficulties, test score distributions on the same score scale can be represented by nonparametric graphs or statistics that are invariant under monotone scale transformations. This article motivates and then…
Descriptors: Nonparametric Statistics, Comparative Analysis, Trend Analysis, Scores
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