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Showing 1 to 15 of 54 results Save | Export
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Long, J. Scott; Mustillo, Sarah A. – Sociological Methods & Research, 2021
Methods for group comparisons using predicted probabilities and marginal effects on probabilities are developed for regression models for binary outcomes. Unlike approaches based on the comparison of regression coefficients across groups, the methods we propose are unaffected by the scalar identification of the coefficients and are expressed in…
Descriptors: Regression (Statistics), Comparative Analysis, Probability, Groups
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Han Du; Brian Keller; Egamaria Alacam; Craig Enders – Grantee Submission, 2023
In Bayesian statistics, the most widely used criteria of Bayesian model assessment and comparison are Deviance Information Criterion (DIC) and Watanabe-Akaike Information Criterion (WAIC). A multilevel mediation model is used as an illustrative example to compare different types of DIC and WAIC. More specifically, the study compares the…
Descriptors: Bayesian Statistics, Models, Comparative Analysis, Probability
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Feinberg, Richard A.; von Davier, Matthias – Journal of Educational and Behavioral Statistics, 2020
The literature showing that subscores fail to add value is vast; yet despite their typical redundancy and the frequent presence of substantial statistical errors, many stakeholders remain convinced of their necessity. This article describes a method for identifying and reporting unexpectedly high or low subscores by comparing each examinee's…
Descriptors: Scores, Probability, Statistical Distributions, Ability
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Xia, Xiaona – Interactive Learning Environments, 2023
The interactive learning is a continuous process, which is full of a large number of learning interaction activities. The data generated between learners and learning interaction activities can reflect the online learning behaviors. Through the correlation analysis among learning interaction activities, this paper discusses the potential…
Descriptors: Behavior Patterns, Learning Analytics, Decision Making, Correlation
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Krefeld-Schwalb, Antonia; Donkin, Chris; Newell, Ben R.; Scheibehenne, Benjamin – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Past research indicates that individuals respond adaptively to contextual factors in multiattribute choice tasks. Yet it remains unclear how this adaptation is cognitively governed. In this article, empirically testable implementations of two prominent competing theoretical frameworks are developed and compared across two multiattribute choice…
Descriptors: Models, Cues, Probability, Experiments
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Suh, Jihyun; Bugg, Julie M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Existing approaches in the literature on cognitive control in conflict tasks almost exclusively target the outcome of control (by comparing mean congruency effects) and not the processes that shape control. These approaches are limited in addressing a current theoretical issue--what contribution does learning make to adjustments in cognitive…
Descriptors: Cognitive Processes, Comparative Analysis, Conflict, Learning Processes
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Bosch, Nigel; Paquette, Luc – Journal of Learning Analytics, 2018
Metrics including Cohen's kappa, precision, recall, and F[subscript 1] are common measures of performance for models of discrete student states, such as a student's affect or behaviour. This study examined discrete model metrics for previously published student model examples to identify situations where metrics provided differing perspectives on…
Descriptors: Models, Comparative Analysis, Prediction, Probability
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Mason, Cindi; Twomey, Janet; Wright, David; Whitman, Lawrence – Research in Higher Education, 2018
As the need for engineers continues to increase, a growing focus has been placed on recruiting students into the field of engineering and retaining the students who select engineering as their field of study. As a result of this concentration on student retention, numerous studies have been conducted to identify, understand, and confirm…
Descriptors: Student Attrition, Engineering, Probability, Comparative Analysis
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Tal, Yael; Kukliansky, Ida – Journal of Statistics Education, 2020
The aim of this study is to explore the judgments and reasoning in probabilistic tasks that require comparing two probabilities either with or without introducing an additional degree of uncertainty. The reasoning associated with the task having an additional condition of uncertainty has not been discussed in previous studies. The 66 undergraduate…
Descriptors: Undergraduate Students, Comparative Analysis, Statistics, Probability
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Lane, David J. – Journal of College Student Retention: Research, Theory & Practice, 2017
This study investigated the effect of personal identity and social comparison on college graduation. First-year college students completed an online survey measuring exploration and commitment to personal identity and perceptions of the prototypical student. Those who perceived the typical student as favorable but dissimilar to themselves had the…
Descriptors: Comparative Analysis, Graduation, Self Concept, College Freshmen
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Wan, Han; Zhong, Zihao; Tang, Lina; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2023
Small private online courses (SPOCs) have influenced teaching and learning in China's higher education. Learning management systems (LMSs) are important components in SPOCs. They can collect various data related to student behavior and support pedagogical interventions. This research used feature engineering and nearest neighbor smoothing models…
Descriptors: Online Courses, Learning Management Systems, Higher Education, Student Behavior
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Whitehill, Jacob; Movellan, Javier – IEEE Transactions on Learning Technologies, 2018
We propose a method of generating teaching policies for use in intelligent tutoring systems (ITS) for concept learning tasks [1], e.g., teaching students the meanings of words by showing images that exemplify their meanings à la Rosetta Stone [2] and Duo Lingo [3]. The approach is grounded in control theory and capitalizes on recent work by [4],…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Educational Policy, Comparative Analysis
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Jenkins, Andrew – British Journal of Educational Studies, 2018
This paper investigates why people return to study in their 30s and beyond and upgrade to a higher level qualifications. Some previous research has argued that attitudes formed in childhood, via family background and schooling, continue to shape a person's engagement in learning throughout the adult lifecourse. Psychologists distinguish extrinsic…
Descriptors: Adults, Adult Learning, Adult Education, Higher Education
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Matos-Díaz, Horacio – Education Policy Analysis Archives, 2021
Faculty members and their corresponding academic fields at the University of Puerto Rico at Bayamón are classified with regard to grading practices over time. Based on the effects on the intercept of the equations that predict the GPA and the proportion of student withdrawals observed in each of the 39,337 courses offered during 41 consecutive…
Descriptors: Grading, Educational Policy, Educational History, College Faculty
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Butcher, Greg Q.; Rodriguez, Juan; Chirhart, Scott; Messina, Troy C. – Bioscene: Journal of College Biology Teaching, 2016
In order to increase students' awareness for and comfort with mathematical modeling of biological processes, and increase their understanding of diffusion, the following lab was developed for use in 100-level, majors/non-majors biology and neuroscience courses. The activity begins with generation of a data set that uses coin-flips to replicate…
Descriptors: Biology, Comparative Analysis, Simulation, Questionnaires
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