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Showing 1 to 15 of 223 results Save | Export
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Reem El Sherif; Pierre Pluye; Quan Nha Hong; Benoît Rihoux – Research Synthesis Methods, 2024
Qualitative comparative analysis (QCA) is a hybrid method designed to bridge the gap between qualitative and quantitative research in a case-sensitive approach that considers each case holistically as a complex configuration of conditions and outcomes. QCA allows for multiple conjunctural causation, implying that it is often a combination of…
Descriptors: Comparative Analysis, Qualitative Research, Statistical Analysis, Researchers
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Saijun Zhao; Zhiyong Zhang; Hong Zhang – Grantee Submission, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
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Saijun Zhao; Zhiyong Zhang; Hong Zhang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Mediation analysis is widely applied in various fields of science, such as psychology, epidemiology, and sociology. In practice, many psychological and behavioral phenomena are dynamic, and the corresponding mediation effects are expected to change over time. However, most existing mediation methods assume a static mediation effect over time,…
Descriptors: Bayesian Statistics, Statistical Inference, Longitudinal Studies, Attribution Theory
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Ilker Cingillioglu; Uri Gal; Artem Prokhorov – Education and Information Technologies, 2024
This study presents a novel approach contributing to our understanding of the design, development, and implementation AI-based systems for conducting double-blind online randomized controlled trials (RCTs) for higher education research. The process of the entire interaction with the participants (n = 1193) and their allocation to test and control…
Descriptors: Artificial Intelligence, Higher Education, Comparative Analysis, College Choice
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Lee Fergusson; Javier Ortiz Cabrejos; Anna Bonshek – Current Issues in Education, 2025
Our prior research with Indigenous school children and adolescents in Perú, often in remote high-altitude Andean locations, mostly centers on an exploration of health and school performance and their relation to the practice of Transcendental Meditation, a natural and easy-to-learn technique for mental and physiological rest and stress reduction.…
Descriptors: Metacognition, Academic Achievement, Foreign Countries, Correlation
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Gaviria, Christian; Corredor, Javier – Metacognition and Learning, 2021
The Illusion of Explanatory Depth (IOED) occurs when people overestimate their ability to explain the causal mechanisms of natural or social processes. Prior research has attributed this metacognitive bias to confounding the understanding of abstract causal patterns with the comprehension of domain-specific mechanisms. However, this explanation…
Descriptors: Social Desirability, History, Metacognition, Attribution Theory
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Leszczensky, Lars; Wolbring, Tobias – Sociological Methods & Research, 2022
Does "X" affect "Y"? Answering this question is particularly difficult if reverse causality is looming. Many social scientists turn to panel data to address such questions of causal ordering. Yet even in longitudinal analyses, reverse causality threatens causal inference based on conventional panel models. Whereas the…
Descriptors: Attribution Theory, Causal Models, Comparative Analysis, Statistical Bias
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Emma Browning; Jill Hohenstein – Review of Education, 2024
Narrative is fundamental to human thought, yet in many classrooms, expository texts are commonly used to support learning in content-based subjects, such as history. Given the importance of narrative, it might be harnessed as a powerful tool to support learning. This research compares the impact of narrative nonfiction (NNF) and expository text…
Descriptors: History Instruction, Teaching Methods, Nonfiction, Comparative Analysis
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Jennifer Hill; George Perrett; Stacey A. Hancock; Le Win; Yoav Bergner – Grantee Submission, 2024
Most current statistics courses include some instruction relevant to causal inference. Whether this instruction is incorporated as material on randomized experiments or as an interpretation of associations measured by correlation or regression coefficients, the way in which this material is presented may have important implications for…
Descriptors: Statistics Education, Teaching Methods, Attribution Theory, Undergraduate Students
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Yama, Hiroshi; Akita, Masashi; Kawasaki, Takuya – Applied Cognitive Psychology, 2021
As part of the first author's expert testimony at a court trial, we investigated hindsight bias in perceptions of the predictability of a real flash flood. Participants were presented with pictures taken before the flash flood and asked to rate the muddiness of the water and judge the likelihood of flooding in Experiment 1. Participants who were…
Descriptors: Decision Making, Court Litigation, Natural Disasters, Prediction
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Kayabasi, Demet; Gökgöz, Kadir – Language Learning and Development, 2023
We discuss the causative-inchoative alternation in Turkish Sign Language (Türk Isaret Dili -- TID), and the age of acquisition effects on multi-predicate, complex constructions that are observed in both causative and inchoative events. We present a picture-description task performed by 24 adult signers, half of which were exposed to TID from birth…
Descriptors: Sign Language, Attribution Theory, Pictorial Stimuli, Task Analysis
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Salih C. Özdemir; Asli Aktan-Erciyes; Tilbe Goksun – Journal of Child Language, 2023
Parents are often a good source of information, introducing children to how the world around them is described and explained in terms of cause-and-effect relations. Parents also vary in their speech, and these variations can predict children's later language skills. Being born preterm might be related to such parent-child interactions. The present…
Descriptors: Turkish, Language Usage, Premature Infants, Infants
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Xiuyu Lin; Zehui Zhan; Xuebo Zhang; Jiayi Xiong – IEEE Transactions on Learning Technologies, 2024
The attribution of learning success or failure is crucial for students' learning and motivation. Effective attribution of their learning success or failure in the context of a small private online course (SPOC) could generate students' motivation toward learning success while an incorrect attribution would lead to a sense of helplessness. Based on…
Descriptors: Learning Analytics, Learning Processes, Learning Motivation, Attribution Theory
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Zhan, Peida; He, Keren – Educational Measurement: Issues and Practice, 2021
In learning diagnostic assessments, the attribute hierarchy specifies a sequential network of interrelated attribute mastery processes, which makes a test blueprint consistent with the cognitive theory. One of the most important functions of attribute hierarchy is to guide or limit the developmental direction of students and then form a…
Descriptors: Longitudinal Studies, Models, Comparative Analysis, Diagnostic Tests
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Christina Hubertina Helena Maria Heemskerk; Claudia M. Roebers – Journal of Cognition and Development, 2024
Young children tend to rely on reactive cognitive control (e.g. strongly slow down after an error), even when task accuracy would benefit from proactive cognitive control (taking a slower task approach up front). We investigated if giving young primary school children opportunities to repeatedly experience tasks where success rates depend on…
Descriptors: Cognitive Ability, Reaction Time, Accuracy, Feedback (Response)
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