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Kenneth Tyler Wilcox; Ross Jacobucci; Zhiyong Zhang; Brooke A. Ammerman – Grantee Submission, 2023
Text is a burgeoning data source for psychological researchers, but little methodological research has focused on adapting popular modeling approaches for text to the context of psychological research. One popular measurement model for text, topic modeling, uses a latent mixture model to represent topics underlying a body of documents. Recently,…
Descriptors: Bayesian Statistics, Content Analysis, Undergraduate Students, Self Destructive Behavior
Taylor, Z. W.; Alsmadi, Izzat – Journal of Interdisciplinary Studies in Education, 2020
In an era of billions of dollars in outstanding student loan debt, researchers have posited that the U.S. News & World Report rankings continue to be an influential source of information for prospective students, yet these rankings do not include college affordability metrics in their ranking algorithm. As a result, this study performed a…
Descriptors: Paying for College, Universities, Institutional Characteristics, Achievement Rating
Galbraith, Craig S.; Merrill, Gregory B. – Journal of College Student Development, 2012
We examined the interaction between academic burnout and work-related burnout for a sample of working undergraduate university students. Using a longitudinal design we found that the factors of burnout (Exhaustion, Cynicism, and Efficacy) change significantly over the semester. In addition, the study suggests there are distinct differences in how…
Descriptors: Semi Structured Interviews, Structured Interviews, Educational Experience, Burnout
Cogan, Michael F. – Journal of College Student Retention: Research, Theory & Practice, 2011
This study explored the outcome of academically dismissed students reinstated the semester following academic dismissal at a medium-size Midwestern University. Logistic regression was utilized to identify predictors that may assist academic administrators in making decisions regarding future reinstatement activities. The overall model correctly…
Descriptors: Undergraduate Students, Academic Failure, Expulsion, Academic Probation
Yalamova, Rossitsa – American Journal of Business Education, 2010
A heuristic approach to explaining of the Black-Scholes option pricing model in undergraduate classes is described. The approach draws upon the method of protocol analysis to encourage students to "think aloud" so that their mental models can be surfaced. It also relies upon extensive visualizations to communicate relationships that are…
Descriptors: Heuristics, Models, Teaching Methods, Undergraduate Students
Ramos-Alvarez, M. M.; Catena, A. – Psicologica: International Journal of Methodology and Experimental Psychology, 2005
In the predictive learning and causal reasoning literature it has been suggested that the processing of events is under the control of a competitive mechanism. However, little is known about whether the competitive mechanism operates at the encoding or near the response stages. The present work suggests that measures based on the recall of…
Descriptors: Competition, Statistical Analysis, Stimuli, Predictor Variables

Osborn, Herbert H. – Educational Research, 1983
A test was given to 322 secondary students to develop a profile of mathematical ability based on four components: computation, pattern recognition, logical reasoning, and symbolic manipulation. These profiles were compared to mathematics test scores; the results verified hypotheses about individual differences in mental processes and knowledge…
Descriptors: Abstract Reasoning, Aptitude, Computation, Individual Differences
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis