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Li, Xiao; Xu, Hanchen; Zhang, Jinming; Chang, Hua-hua – Journal of Educational and Behavioral Statistics, 2023
The adaptive learning problem concerns how to create an individualized learning plan (also referred to as a learning policy) that chooses the most appropriate learning materials based on a learner's latent traits. In this article, we study an important yet less-addressed adaptive learning problem--one that assumes continuous latent traits.…
Descriptors: Learning Processes, Models, Algorithms, Individualized Instruction
Strunk, Katharine O.; Reardon, Sean F. – Journal of Educational and Behavioral Statistics, 2010
The literature on teachers' unions is relatively silent about the role of union strength in affecting important outcomes, due in large part to the difficulty in measuring union strength. In this article, we illustrate a method for obtaining valid, reliable, and replicable measures of union strength through the use of a Partial Independence Item…
Descriptors: Collective Bargaining, Unions, Teaching Methods, Models
Peer reviewedFerron, John – Journal of Educational and Behavioral Statistics, 1997
The relationship between hierarchical linear modeling (HLM) notation and mixed model notation is illustrated by explicitly mapping the parameters across notations for a concrete example involving the hierarchical modeling of change. (Author/SLD)
Descriptors: Change, Mathematical Models, Teaching Methods
Peer reviewedLi, Heng; Wainer, Howard – Journal of Educational and Behavioral Statistics, 1997
Provides a general mathematical framework is provided that can be specialized to four different reliability coefficients. Consideration of this general framework makes it easier to convey to students the individual character of the formulations of reliability and the extent of their underlying similarity. (SLD)
Descriptors: Mathematical Models, Reliability, Teaching Methods, Test Theory
Rubin, Donald B. – Journal of Educational and Behavioral Statistics, 2004
Inference for causal effects is a critical activity in many branches of science and public policy. The field of statistics is the one field most suited to address such problems, whether from designed experiments or observational studies. Consequently, it is arguably essential that departments of statistics teach courses in causal inference to both…
Descriptors: Undergraduate Students, Public Policy, Statistical Inference, Graduate Students
Lockwood, J. R.; McCaffrey, Daniel F.; Mariano, Louis T.; Setodji, Claude – Journal of Educational and Behavioral Statistics, 2007
There is increased interest in value-added models relying on longitudinal student-level test score data to isolate teachers' contributions to student achievement. The complex linkage of students to teachers as students progress through grades poses both substantive and computational challenges. This article introduces a multivariate Bayesian…
Descriptors: Urban Schools, Academic Persistence, Reading Achievement, Mathematics Achievement
Hong, Guanglei; Raudenbush, Stephen W. – Journal of Educational and Behavioral Statistics, 2008
The authors propose a strategy for studying the effects of time-varying instructional treatments on repeatedly observed student achievement. This approach responds to three challenges: (a) The yearly reallocation of students to classrooms and teachers creates a complex structure of dependence among responses; (b) a child's learning outcome under a…
Descriptors: Elementary School Mathematics, Grade 4, Probability, Teaching Methods

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