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Huang, Shaobo; Fang, Ning – Computers & Education, 2013
Predicting student academic performance has long been an important research topic in many academic disciplines. The present study is the first study that develops and compares four types of mathematical models to predict student academic performance in engineering dynamics--a high-enrollment, high-impact, and core course that many engineering…
Descriptors: Academic Achievement, Grade Point Average, Accuracy, Prediction
Little, Daniel R.; Nosofsky, Robert M.; Denton, Stephen E. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
A recent resurgence in logical-rule theories of categorization has motivated the development of a class of models that predict not only choice probabilities but also categorization response times (RTs; Fific, Little, & Nosofsky, 2010). The new models combine mental-architecture and random-walk approaches within an integrated framework and…
Descriptors: Classification, Reaction Time, Stimuli, College Students
Szymanski, Stefan – Journal of Economic Education, 2010
In recent years, there has been some dispute over the appropriate way to model decision making in professional sports leagues. In particular, Szymanski and Kesenne (2004) argue that formulating the decision-making problem in a noncooperative game leads to radically different conclusions about the nature of competition in sports leagues. The author…
Descriptors: Competition, Business, Team Sports, Decision Making
Peer reviewedNicholls, Paul Travis – Journal of the American Society for Information Science, 1987
Describes and compares eight methods of estimating the parameters of the Zipf distribution. (CLB)
Descriptors: Comparative Analysis, Estimation (Mathematics), Mathematical Models, Predictive Measurement
Peer reviewedEnglish, Justin; Allison, James – Psychological Review, 1993
A model is presented that demonstrates that a random response to external constraint can produce results similar to those predicted by more complex models. Behavior that appears rational, optimal, or adaptive may truly be a random response to external constraint. Predictions based on this model may provide appropriate null hypotheses. (SLD)
Descriptors: Behavior Patterns, Graphs, Hypothesis Testing, Mathematical Models
Peer reviewedGrass, Alan L.; Perry, Philippa – Psychometrika, 1983
A procedure for inferring the validity of a selection test as a predictor of some criterion when the available data are limited due to prior selection is described. (Author/JKS)
Descriptors: Mathematical Models, Predictive Measurement, Predictive Validity, Selection
Peer reviewedBurrell, Quentin L. – Journal of the American Society for Information Science, 1990
Argues that the gamma mixture of Poisson processes, for all its perceived defects, can be used to make predictions regarding future library book circulations of a quality adequate for general management requirements. The use of the model is extensively illustrated with data from two academic libraries. (Nine references) (CLB)
Descriptors: Academic Libraries, Higher Education, Library Circulation, Mathematical Models
Peer reviewedAnderson, Sue M.; Muchinsky, Paul M. – Educational and Psychological Measurement, 1991
Two important parameters of the general utility function--the standard deviation of job performance and predictor performance--were examined in terms of their sensitivity to departures from underlying mathematical assumptions. Integral calculus was used to assess the effects of statistical violations of the assumptions underlying these parameters.…
Descriptors: Cost Effectiveness, Estimation (Mathematics), Job Performance, Mathematical Models
Peer reviewedPruzek, Robert M.; Lepak, Greg M. – Multivariate Behavioral Research, 1992
Adaptive forms of weighted structural regression are developed and discussed. Bootstrapping studies indicate that the new methods have potential to recover known population regression weights and predict criterion score values routinely better than do ordinary least squares methods. The new methods are scale free and simple to compute. (SLD)
Descriptors: Equations (Mathematics), Least Squares Statistics, Mathematical Models, Predictive Measurement
Peer reviewedMendoza, Jorge L.; And Others – Multivariate Behavioral Research, 1991
Using a Monte Carlo simulation, a bootstrap procedure was evaluated for setting a confidence interval on the unrestricted population correlation (rho) assuming various degrees of incomplete truncation on the predictor. Sample size was the most important factor in determining accuracy and stability. Sample size should be at least 50. (SLD)
Descriptors: Computer Simulation, Correlation, Estimation (Mathematics), Mathematical Models
Peer reviewedBarr, Aiala; Sichel, Herbert S. – Journal of the American Society for Information Science, 1991
Discussion of models for library circulation data highlights a new statistical prediction model that creates a flexible regression curve. Linear graphs that result from previous models are discussed, bivariate discrete distributions are explained, and graphs that show library circulation for one year at a time are presented. (nine references) (LRW)
Descriptors: Correlation, Data Analysis, Graphs, Library Circulation
Peer reviewedStavig, Gordon R. – Journal of Experimental Education, 1983
A method is developed for testing a priori multiple regression models. The method allows one to specify in advance as many unstandardized or standardized coefficients as one wants to and allows the remaining slopes to be free to vary. (Author/PN)
Descriptors: Computer Programs, Hypothesis Testing, Mathematical Models, Multiple Regression Analysis
Peer reviewedGross, Alan L.; Shulman, Vivian – Journal of Educational Measurement, 1980
The suitability of the beta binomial test model for criterion referenced testing was investigated, first by considering whether underlying assumptions are realistic, and second, by examining the robustness of the model. Results suggest that the model may have practical value. (Author/RD)
Descriptors: Criterion Referenced Tests, Goodness of Fit, Higher Education, Item Sampling
Peer reviewedSachar, Jane; Suppes, Patrick – Educational and Psychological Measurement, 1980
The present study compared six methods, two of which utilize the content structure of items, to estimate total-test scores using 450 students and 60 items of the 110-item Stanford Mental Arithmetic Test. Three methods yielded fairly good estimates of the total-test score. (Author/RL)
Descriptors: Content Analysis, Correlation, Item Analysis, Item Sampling
Peer reviewedGalbraith, Peter – Teaching Mathematics and Its Applications, 1996
Suggests ways for using data from championship tennis as a means for exploring probabilistic models, especially binomial probability. Examples include the probability of winning a service point and the probability of winning a service game using data from tables and graphs. (AIM)
Descriptors: Higher Education, Mathematical Applications, Mathematical Models, Mathematics Instruction

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