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Muckle, Timothy Joseph – ProQuest LLC, 2010
Existing methods for the analysis of ordinal-level data arising from judge ratings, such as the Multi-Facet Rasch model (MFRM, or the so-called Facets model) have been widely used in assessment in order to render fair examinee ability estimates in situations where the judges vary in their behavior or severity. However, this model makes certain…
Descriptors: Bayesian Statistics, Judges, Behavior, Differences
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Cao, Jing; Stokes, S. Lynne; Zhang, Song – Journal of Educational and Behavioral Statistics, 2010
We develop a Bayesian hierarchical model for the analysis of ordinal data from multirater ranking studies. The model for a rater's score includes four latent factors: one is a latent item trait determining the true order of items and the other three are the rater's performance characteristics, including bias, discrimination, and measurement error…
Descriptors: Bayesian Statistics, Data Analysis, Bias, Measurement
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Maguire, Angela M.; Humphreys, Michael S.; Dennis, Simon; Lee, Michael D. – Journal of Memory and Language, 2010
This paper addresses two Global Matching predictions in embedded-category designs: the within-category choice advantage in forced-choice recognition (superior discrimination for test choices comprising a same-category distractor); and the category length effect in forced-choice and old/new recognition (a loss in discriminability with increases in…
Descriptors: Bayesian Statistics, Models, Prediction, Classification
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Doyle, William R.; Gorbunov, Alexander V. – Teachers College Record, 2011
Background/Context: The establishment of community colleges in the American states stands as one of the most unique features of our system of postsecondary education. Four possible explanations have been suggested for the growth of community colleges. An economic perspective argues that the development of community colleges came about as a result…
Descriptors: Higher Education, Community Colleges, Social Stratification, Educational Demand
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Hilbig, Benjamin E.; Erdfelder, Edgar; Pohl, Rudiger F. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
A new process model of the interplay between memory and judgment processes was recently suggested, assuming that retrieval fluency--that is, the speed with which objects are recognized--will determine inferences concerning such objects in a single-cue fashion. This aspect of the fluency heuristic, an extension of the recognition heuristic, has…
Descriptors: Stimuli, Heuristics, Memory, Goodness of Fit
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van de Schoot, Rens; Hoijtink, Herbert; Mulder, Joris; Van Aken, Marcel A. G.; Orobio de Castro, Bram; Meeus, Wim; Romeijn, Jan-Willem – Developmental Psychology, 2011
Researchers often have expectations about the research outcomes in regard to inequality constraints between, e.g., group means. Consider the example of researchers who investigated the effects of inducing a negative emotional state in aggressive boys. It was expected that highly aggressive boys would, on average, score higher on aggressive…
Descriptors: Aggression, Hypothesis Testing, Males, Emotional Response
Rau, Martina A.; Pardos, Zachary A. – International Educational Data Mining Society, 2012
The goal of this paper is to use Knowledge Tracing to augment the results obtained from an experiment that investigated the effects of practice schedules using an intelligent tutoring system for fractions. Specifically, this experiment compared different practice schedules of multiple representations of fractions: representations were presented to…
Descriptors: Intelligent Tutoring Systems, Mathematics, Knowledge Level, Scheduling
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Salisbury, Christine; Cambray-Engstrom, Elizabeth; Woods, Juliann – Topics in Early Childhood Special Education, 2012
This case study examined the agreement between reported and actual use of coaching strategies based on home visit data collected on a diverse sample of providers and families. Paired videotape and contact note data of and from providers during home visits were collected over a six month period and analyzed using structured protocols. Results of…
Descriptors: Video Technology, Home Visits, Coaching (Performance), Educational Strategies
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Frederickx, Sofie; Tuerlinckx, Francis; De Boeck, Paul; Magis, David – Journal of Educational Measurement, 2010
In this paper we present a new methodology for detecting differential item functioning (DIF). We introduce a DIF model, called the random item mixture (RIM), that is based on a Rasch model with random item difficulties (besides the common random person abilities). In addition, a mixture model is assumed for the item difficulties such that the…
Descriptors: Test Bias, Models, Test Items, Difficulty Level
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de la Torre, Jimmy; Hong, Yuan; Deng, Weiling – Journal of Educational Measurement, 2010
To better understand the statistical properties of the deterministic inputs, noisy "and" gate cognitive diagnosis (DINA) model, the impact of several factors on the quality of the item parameter estimates and classification accuracy was investigated. Results of the simulation study indicate that the fully Bayes approach is most accurate when the…
Descriptors: Classification, Computation, Models, Simulation
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Holyoak, Keith J.; Lee, Hee Seung; Lu, Hongjing – Journal of Experimental Psychology: General, 2010
A fundamental issue for theories of human induction is to specify constraints on potential inferences. For inferences based on shared category membership, an analogy, and/or a relational schema, it appears that the basic goal of induction is to make accurate and goal-relevant inferences that are sensitive to uncertainty. People can use source…
Descriptors: Inferences, Logical Thinking, Bayesian Statistics, Causal Models
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Fitneva, Stanka A.; Dunfield, Kristen A. – Developmental Psychology, 2010
In 3 experiments, the authors examined whether a single act of testimony can inform children's subsequent information seeking. In Experiment 1, participants saw one informant give a correct and another informant give an incorrect answer to a question, assessed who was "right" ("wrong"), and decided to whom to address a 2nd question. Adults and…
Descriptors: Information Seeking, Experiments, Evaluation, Probability
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Kolen, Michael J.; Tong, Ye – Educational Measurement: Issues and Practice, 2010
Psychometric properties of item response theory proficiency estimates are considered in this paper. Proficiency estimators based on summed scores and pattern scores include non-Bayes maximum likelihood and test characteristic curve estimators and Bayesian estimators. The psychometric properties investigated include reliability, conditional…
Descriptors: Test Length, Psychometrics, Item Response Theory, Scores
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Huang, Hung-Yu; Wang, Wen-Chung – Educational and Psychological Measurement, 2013
Both testlet design and hierarchical latent traits are fairly common in educational and psychological measurements. This study aimed to develop a new class of higher order testlet response models that consider both local item dependence within testlets and a hierarchy of latent traits. Due to high dimensionality, the authors adopted the Bayesian…
Descriptors: Item Response Theory, Models, Bayesian Statistics, Computation
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Ting, Choo-Yee; Sam, Yok-Cheng; Wong, Chee-Onn – Computers & Education, 2013
Constructing a computational model of conceptual change for a computer-based scientific inquiry learning environment is difficult due to two challenges: (i) externalizing the variables of conceptual change and its related variables is difficult. In addition, defining the causal dependencies among the variables is also not trivial. Such difficulty…
Descriptors: Concept Formation, Bayesian Statistics, Inquiry, Science Instruction
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