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Yechiam, Eldad; Ashby, Nathaniel J. S.; Hochman, Guy – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
The majority of the literature on the psychology of gains and losses suggests that losses lead to an avoidance response. Several studies, however, have shown that losses can also lead to an approach response, whereby an option is selected more often when it produces losses. In five studies we examine the boundary conditions for these contradictory…
Descriptors: Fear, Responses, Attention, Selection
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D'Attoma, Ida; Camillo, Furio; Clark, M. H. – Journal of Experimental Education, 2019
Propensity score (PS) adjustments have become popular methods used to improve estimates of treatment effects in quasi-experiments. Although researchers continue to develop PS methods, other procedures can also be effective in reducing selection bias. One of these uses clustering to create balanced groups. However, the success of this new method…
Descriptors: Statistical Bias, Regression (Statistics), Probability, Weighted Scores
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Case, Catherine; Battles, Melanie; Jacobbe, Tim – Investigations in Mathematics Learning, 2019
The study presented in this article examined the impact of two simulation-based inference activities on students' understanding of p-values in a second undergraduate statistics course. In the study, students familiar with traditional inference methods used physical and computer simulations to estimate p-values. To examine students' conceptions…
Descriptors: Probability, Computer Simulation, Statistics, Mathematics Instruction
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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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Chies, Laura; Graziosi, Grazia; Pauli, Francesco – Research in Higher Education, 2019
Between 2001 and 2005, higher education in Italy went through a considerable process of reform according to the "Bologna Process." This paper evaluates the effects of this process on the academic performance of students. We estimate the difference in graduation probability between students who switched from pre-reform university courses…
Descriptors: Foreign Countries, Undergraduate Students, Higher Education, Educational Change
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Gummer, Tobias; Roßmann, Joss – International Journal of Social Research Methodology, 2019
Propensity score weighting often is used to correct for attrition biases in panel surveys. While methodological literature exists on the logic of propensity score weighting and its practical applications, an in-depth discussion is lacking on the effects of using this weighting to correct for attrition biases in attitudinal, behavioral, and…
Descriptors: Attrition (Research Studies), Bias, Probability, Attitudes
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Hansen, Christian; Hansen, Casper; Alstrup, Stephen; Lioma, Christina – International Educational Data Mining Society, 2019
In this paper we consider the problem of modelling when students end their session in an online mathematics educational system. Being able to model this accurately will help us optimize the way content is presented and consumed. This is done by modelling the probability of an action being the last in a session, which we denote as the…
Descriptors: Integrated Learning Systems, Probability, Foreign Countries, Student Behavior
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Abu-Ghazalah, Rashid M.; Dubins, David N.; Poon, Gregory M. K. – Applied Measurement in Education, 2023
Multiple choice results are inherently probabilistic outcomes, as correct responses reflect a combination of knowledge and guessing, while incorrect responses additionally reflect blunder, a confidently committed mistake. To objectively resolve knowledge from responses in an MC test structure, we evaluated probabilistic models that explicitly…
Descriptors: Guessing (Tests), Multiple Choice Tests, Probability, Models
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Stewart, Shannon L.; Dave, Hiten P.; Lapshina, Natalia – Journal of Intellectual Disabilities, 2023
Psychiatric disorders are common in youth with intellectual and developmental disabilities. This is a vulnerable group of children whose behavioural problems often have more complicated care needs than other children, which can place a great deal of stress on their families. However, the association of family mental health issues, level of…
Descriptors: Trauma, Mental Disorders, Intellectual Disability, Developmental Disabilities
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Xing, Wanli; Pei, Bo; Li, Shan; Chen, Guanhua; Xie, Charles – Interactive Learning Environments, 2023
Engineering design plays an important role in education. However, due to its open nature and complexity, providing timely support to students has been challenging using the traditional assessment methods. This study takes an initial step to employ learning analytics to build performance prediction models to help struggling students. It allows…
Descriptors: Learning Analytics, Engineering Education, Prediction, Design
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Peter Hendrix; Ching Chu Sun; Henry Brighton; Andreas Bender – Cognitive Science, 2023
Previous studies provided evidence for a connection between language processing and language change. We add to these studies with an exploration of the influence of lexical-distributional properties of words in orthographic space, semantic space, and the mapping between orthographic and semantic space on the probability of lexical extinction.…
Descriptors: Language Processing, Second Language Learning, Second Language Instruction, Language Maintenance
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Käser, Tanja; Schwartz, Daniel L. – International Journal of Artificial Intelligence in Education, 2020
Modeling and predicting student learning in computer-based environments often relies solely on sequences of accuracy data. Previous research suggests that it does not only matter what we learn, but also how we learn. The detection and analysis of learning behavior becomes especially important, when dealing with open-ended exploration environments,…
Descriptors: Inquiry, Learning Strategies, Outcomes of Education, Academic Achievement
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Arede, Jorge; Ferreira, António Paulo; Esteves, Pedro; Gonzalo-Skok, Oliver; Leite, Nuno – Research Quarterly for Exercise and Sport, 2020
Purpose: The aim of this study was to analyze the relationship between physical preparation, training sessions (TS) and friendly matches' (FM) demands, and playing status during European Championship (EC). Method: Twelve under-16 (U-16) basketball players performed physical (jumping, agility, aerobic fitness, and lower limb asymmetry index [ASI])…
Descriptors: Training, Athletics, Youth Programs, Team Sports
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Nguyen, Trang Quynh; Stuart, Elizabeth A. – Journal of Educational and Behavioral Statistics, 2020
We address measurement error bias in propensity score (PS) analysis due to covariates that are latent variables. In the setting where latent covariate X is measured via multiple error-prone items W, PS analysis using several proxies for X--the W items themselves, a summary score (mean/sum of the items), or the conventional factor score (i.e.,…
Descriptors: Error of Measurement, Statistical Bias, Error Correction, Probability
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Gazdula, Joe; Farr, Richard – Management Teaching Review, 2020
This article describes the adaptation and use of the Monopoly® board game as a simple simulator to help introduce the principles of probability and risk. It focusses on teaching experiences in an undergraduate business program and offers a new approach to teaching probability and risk with dice to produce a collaborative simulated gaming…
Descriptors: Risk, Probability, Learning Activities, Undergraduate Students
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