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Wilkin, John P. – College & Research Libraries, 2017
The 1961 Copyright Office study on renewals, authored by Barbara Ringer, has cast an outsized influence on discussions of the U.S. 1923-1963 public domain. As more concrete data emerge from initiatives such as the large-scale determination process in the Copyright Review Management System (CRMS) project, questions are raised about the reliability…
Descriptors: Comparative Analysis, Copyrights, Misconceptions, Test Reliability
Mandel, Travis Scott – ProQuest LLC, 2017
When a new student comes to play an educational game, how can we determine what content to give them such that they learn as much as possible? When a frustrated customer calls in to a helpline, how can we determine what to say to best assist them? When an ill patient comes in to the clinic, how do we determine what tests to run and treatments to…
Descriptors: Reinforcement, Learning Processes, Student Evaluation, Data Collection
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Ames, Allison J.; Penfield, Randall D. – Educational Measurement: Issues and Practice, 2015
Drawing valid inferences from item response theory (IRT) models is contingent upon a good fit of the data to the model. Violations of model-data fit have numerous consequences, limiting the usefulness and applicability of the model. This instructional module provides an overview of methods used for evaluating the fit of IRT models. Upon completing…
Descriptors: Item Response Theory, Goodness of Fit, Models, Evaluation Methods
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Magis, David; Tuerlinckx, Francis; De Boeck, Paul – Journal of Educational and Behavioral Statistics, 2015
This article proposes a novel approach to detect differential item functioning (DIF) among dichotomously scored items. Unlike standard DIF methods that perform an item-by-item analysis, we propose the "LR lasso DIF method": logistic regression (LR) model is formulated for all item responses. The model contains item-specific intercepts,…
Descriptors: Test Bias, Test Items, Regression (Statistics), Scores
Nižnan, Juraj; Pelánek, Radek; Rihák, Jirí – International Educational Data Mining Society, 2015
Intelligent behavior of adaptive educational systems is based on student models. Most research in student modeling focuses on student learning (acquisition of skills). We focus on prior knowledge, which gets much less attention in modeling and yet can be highly varied and have important consequences for the use of educational systems. We describe…
Descriptors: Prior Learning, Models, Intelligent Tutoring Systems, Bayesian Statistics
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Meissner, Tobias W.; Prüfer, Helen; Nordt, Marisa; Semmelmann, Kilian; Weigelt, Sarah – International Journal of Behavioral Development, 2018
We investigated the ability to detect a face among other visual objects in a complex visual array in 3-, 4-, and 5-year-old children, as well as in adults. To this end, we used a visual search paradigm implemented on a touch-tablet device. Subjects (N = 100) saw up to eighty 3 × 3 visual search arrays and had to find and tap upon a target--a face…
Descriptors: Preschool Children, Human Body, Cognitive Development, Adults
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Winchell, Adam; Mozer, Michael; Lan, Andrew; Grimaldi, Phillip; Pashler, Harold – International Educational Data Mining Society, 2018
When engaging with a textbook, students are inclined to highlight key content. Although students believe that highlighting and subsequent review of the highlights will further their educational goals, the psychological literature provides no evidence of benefits. Nonetheless, a student's choice of text for highlighting may serve as a window into…
Descriptors: Textbooks, Biology, Documentation, Science Instruction
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Kim, Dan; Opfer, John E. – Developmental Psychology, 2017
Representations of numerical value have been assessed by using bounded (e.g., 0-1,000) and unbounded (e.g., 0-?) number-line tasks, with considerable debate regarding whether 1 or both tasks elicit unique cognitive strategies (e.g., addition or subtraction) and require unique cognitive models. To test this, we examined how well a mixed log-linear…
Descriptors: Computation, Numbers, Children, Cognitive Development
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Moore, Paula Hearn; Griffin, Richard B. – Journal of Academic Administration in Higher Education, 2017
This paper describes and compares the profiles of the top accounting programs in the United States as identified by "U.S. News and World Report" in 2004 with the profiles of the top accounting programs in the United States as identified by the "Accounting Degree Review" in 2014. The "Accounting Degree Review"'s list…
Descriptors: Accounting, Course Evaluation, Undergraduate Study, Bayesian Statistics
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Gagliardi, Annie; Feldman, Naomi H.; Lidz, Jeffrey – Cognitive Science, 2017
Children acquiring languages with noun classes (grammatical gender) have ample statistical information available that characterizes the distribution of nouns into these classes, but their use of this information to classify novel nouns differs from the predictions made by an optimal Bayesian classifier. We use rational analysis to investigate the…
Descriptors: Children, Statistics, Learning, Bayesian Statistics
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Martin-Fernandez, Manuel; Revuelta, Javier – Psicologica: International Journal of Methodology and Experimental Psychology, 2017
This study compares the performance of two estimation algorithms of new usage, the Metropolis-Hastings Robins-Monro (MHRM) and the Hamiltonian MCMC (HMC), with two consolidated algorithms in the psychometric literature, the marginal likelihood via EM algorithm (MML-EM) and the Markov chain Monte Carlo (MCMC), in the estimation of multidimensional…
Descriptors: Bayesian Statistics, Item Response Theory, Models, Comparative Analysis
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Braem, Senne; Liefooghe, Baptist; De Houwer, Jan; Brass, Marcel; Abrahamse, Elger L. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Unlike other animals, humans have the unique ability to share and use verbal instructions to prepare for upcoming tasks. Recent research showed that instructions are sufficient for the automatic, reflex-like activation of responses. However, systematic studies into the limits of these automatic effects of task instructions remain relatively…
Descriptors: Responses, Context Effect, Visual Stimuli, Performance
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
Washburn, Jeanne – ProQuest LLC, 2017
In order to remain competitive, higher education institutions must be prepared to acculturate adjunct faculty to their mission and instructional philosophy (Bojarczyk, 2008). They must also develop programs that support and engage adjunct faculty (Blodgett, 2008; Landers, 2012). The purpose of this study was to analyze and describe differences…
Descriptors: Adjunct Faculty, Needs Assessment, Comparative Analysis, Acculturation
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DiCerbo, Kristen – Learning, Media and Technology, 2016
The volume of data that can be captured and stored from students' everyday interactions with digital environments allows for the creation of models of student knowledge, skills, and attributes unobtrusively. However, models and techniques for transforming these data into information that is useful for educators have not been established. This…
Descriptors: Bayesian Statistics, Educational Technology, Electronic Learning, Learning Processes
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