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Using Interactive "Shiny" Applications to Facilitate Research-Informed Learning and Teaching
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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
Factors Affecting Timely Completion of a PhD: A Complex Systems Approach
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Pitchforth, Jegar; Beames, Stephanie; Thomas, Aleysha; Falk, Matthew; Farr, Charisse; Gasson, Susan; Thamrin, Sri Astuti; Mengersen, Kerrie – Journal of the Scholarship of Teaching and Learning, 2012
Completing a PhD on time is a complex process, influenced by many interacting factors. In this paper we take a Bayesian Network approach to analyzing the factors perceived to be important in achieving this aim. Focusing on a single research group in Mathematical Sciences, we develop a conceptual model to describe the factors considered to be…
Descriptors: Doctoral Degrees, Time to Degree, Bayesian Statistics, Network Analysis
Learning Overhypotheses with Hierarchical Bayesian Models
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Kemp, Charles; Perfors, Amy; Tenenbaum, Joshua B. – Developmental Science, 2007
Inductive learning is impossible without overhypotheses, or constraints on the hypotheses considered by the learner. Some of these overhypotheses must be innate, but we suggest that hierarchical Bayesian models can help to explain how the rest are acquired. To illustrate this claim, we develop models that acquire two kinds of…
Descriptors: Bayesian Statistics, Logical Thinking, Models, Statistical Analysis
Bayesian Statistical Inference for Coefficient Alpha. ACT Research Report Series.
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Li, Jun Corser; Woodruff, David J. – 2002
Coefficient alpha is a simple and very useful index of test reliability that is widely used in educational and psychological measurement. Classical statistical inference for coefficient alpha is well developed. This paper presents two methods for Bayesian statistical inference for a single sample alpha coefficient. An approximate analytic method…
Descriptors: Bayesian Statistics, Markov Processes, Monte Carlo Methods, Reliability
The Effect of Person Misfit on Classification Decisions
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Hendrawan, Irene; Glas, Cees A. W.; Meijer, Rob R. – Applied Psychological Measurement, 2005
The effect of person misfit to an item response theory model on a mastery/nonmastery decision was investigated. Furthermore, it was investigated whether the classification precision can be improved by identifying misfitting respondents using person-fit statistics. A simulation study was conducted to investigate the probability of a correct…
Descriptors: Probability, Statistics, Test Length, Simulation
Display Book for the Computer-Assisted Data Analysis (CADA) Monitor (1980).
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Novick, Melvin R.; And Others – 1980
The Computer-Assisted Data Analysis (CADA) Monitor is a set of conversational-language interactive computer programs that permit relatively inexperienced persons to perform relatively complex statistical data analysis. The Monitor leads the user through an analysis on a step-by-step basis providing the necessary direction, information, and…
Descriptors: Bayesian Statistics, Computer Assisted Instruction, Computer Programs, Data Analysis