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Taolin Zhang; Shuwen Jia – International Journal of Web-Based Learning and Teaching Technologies, 2024
At present, many schools implement teaching quality evaluation systems with student performance and practical activities as the core data of evaluation. Based on the introduction of the training objectives and discipline nature of the information management and information system specialty, this paper analyzes the construction principles of the…
Descriptors: Student Evaluation of Teacher Performance, Undergraduate Study, Computer Oriented Programs, Algorithms
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Kwon, Deukwoo; Reddy, Roopesh Reddy Sadashiva; Reis, Isildinha M. – Research Synthesis Methods, 2021
In meta-analysis based on continuous outcome, estimated means and corresponding standard deviations from the selected studies are key inputs to obtain a pooled estimate of the mean and its confidence interval. We often encounter the situation that these quantities are not directly reported in the literatures. Instead, other summary statistics are…
Descriptors: Meta Analysis, Computation, Bayesian Statistics, Computer Oriented Programs
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Fawcett, Lee – Journal of Statistics Education, 2018
In this article we discuss our attempt to incorporate research-informed learning and teaching activities into a final year undergraduate Statistics course. We make use of the Shiny web-based application framework for R to develop "Shiny apps" designed to help facilitate student interaction with methods from recently published papers in…
Descriptors: Undergraduate Students, Foreign Countries, Statistics, Mathematics Instruction
Polanin, Joshua R.; Hennessy, Emily A.; Tanner-Smith, Emily E. – Journal of Educational and Behavioral Statistics, 2017
Meta-analysis is a statistical technique that allows an analyst to synthesize effect sizes from multiple primary studies. To estimate meta-analysis models, the open-source statistical environment R is quickly becoming a popular choice. The meta-analytic community has contributed to this growth by developing numerous packages specific to…
Descriptors: Meta Analysis, Open Source Technology, Computer Software, Effect Size
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Rouder, Jeffrey N.; Morey, Richard D. – Multivariate Behavioral Research, 2012
In this article, we present a Bayes factor solution for inference in multiple regression. Bayes factors are principled measures of the relative evidence from data for various models or positions, including models that embed null hypotheses. In this regard, they may be used to state positive evidence for a lack of an effect, which is not possible…
Descriptors: Bayesian Statistics, Multiple Regression Analysis, Factor Analysis, Statistical Inference
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Spray, Judith A.; Reckase, Mark D. – Journal of Educational and Behavioral Statistics, 1996
Two procedures for classifying examinees into categories, one based on the sequential probability ratio test (SPRT) and the other on sequential Bayes methodology, were compared to determine which required fewer items for classification. Results showed that the SPRT procedure requires fewer items to achieve the same accuracy level. (SLD)
Descriptors: Ability, Bayesian Statistics, Classification, Comparative Analysis
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Chen, James J.; Novick, Melvin, R. – Journal of Educational Statistics, 1984
The Libby-Novick class of three-parameter generalized beta distributions is shown to provide a rich class of prior distributions for the binomial model that removes some restrictions of the standard beta class. A numerical example indicates the desirability of using these wider classes of densities for binomial models. (Author/BW)
Descriptors: Bayesian Statistics, Computer Oriented Programs, Generalization, Goodness of Fit
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Wang, Xiaohui; Bradlow, Eric T.; Wainer, Howard – ETS Research Report Series, 2005
SCORIGHT is a very general computer program for scoring tests. It models tests that are made up of dichotomously or polytomously rated items or any kind of combination of the two through the use of a generalized item response theory (IRT) formulation. The items can be presented independently or grouped into clumps of allied items (testlets) or in…
Descriptors: Computer Assisted Testing, Statistical Analysis, Test Items, Bayesian Statistics