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Bayesian Analysis and Design for Joint Modeling of Two Binary Responses with Misclassification
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Stamey, James D.; Beavers, Daniel P.; Sherr, Michael E. – Sociological Methods & Research, 2017
Survey data are often subject to various types of errors such as misclassification. In this article, we consider a model where interest is simultaneously in two correlated response variables and one is potentially subject to misclassification. A motivating example of a recent study of the impact of a sexual education course for adolescents is…
Descriptors: Bayesian Statistics, Classification, Models, Correlation
Stepping into Other People's Shoes Proves to Be a Difficult Task for High School Students: Assessing Historical Empathy through Simulation Exercise
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Rantala, Jukka; Manninen, Marika; van den Berg, Marko – Journal of Curriculum Studies, 2016
In 2011, the Finnish National Board of Education assessed the learning outcomes of history with a study whose results raised doubts about the fulfilment of the goals of history education. This article seeks to expand awareness about Finnish adolescents' understanding of historical empathy. The study assessed twenty-two 16-17-year-old high school…
Descriptors: Foreign Countries, High School Students, Adolescents, Empathy
An Evaluation of Information Criteria Use for Correct Cross-Classified Random Effects Model Selection
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Beretvas, S. Natasha; Murphy, Daniel L. – Journal of Experimental Education, 2013
The authors assessed correct model identification rates of Akaike's information criterion (AIC), corrected criterion (AICC), consistent AIC (CAIC), Hannon and Quinn's information criterion (HQIC), and Bayesian information criterion (BIC) for selecting among cross-classified random effects models. Performance of default values for the 5…
Descriptors: Models, Goodness of Fit, Evaluation Criteria, Educational Research
Classification Consistency when Scores Are Converted to Grades: Examination Marks versus Moderated School Assessments
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MacCann, Robert G.; Stanley, Gordon – Assessment in Education: Principles, Policy & Practice, 2010
In educational systems, concern has been expressed about the accuracy of classification when marks are aligned to grades or levels. In particular, it has been claimed that a school assessment-based grading would have much greater levels of accuracy than one based on examination scores. This paper investigates classification consistency by…
Descriptors: Classification, Scores, Grades (Scholastic), Reliability
Proceedings of the International Conference on Educational Data Mining (EDM) (9th, Raleigh, North Carolina, June 29-July 2, 2016)
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Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Proceedings of the International Conference on Educational Data Mining (EDM) (2nd, Cordoba, Spain, July 1-3, 2009)
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Barnes, Tiffany, Ed.; Desmarais, Michel, Ed.; Romero, Cristobal, Ed.; Ventura, Sebastian, Ed. – International Working Group on Educational Data Mining, 2009
The Second International Conference on Educational Data Mining (EDM2009) was held at the University of Cordoba, Spain, on July 1-3, 2009. EDM brings together researchers from computer science, education, psychology, psychometrics, and statistics to analyze large data sets to answer educational research questions. The increase in instrumented…
Descriptors: Data Analysis, Educational Research, Conferences (Gatherings), Foreign Countries