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Julie Y. L. Chow; Jessica C. Lee; Peter F. Lovibond – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2024
People often rely on the covariation between events to infer causality. However, covariation between cues and outcomes may change over time. In the associative learning literature, extinction provides a model to study updating of causal beliefs when a previously established relationship no longer holds. Prediction error theories can explain both…
Descriptors: Beliefs, Learning Processes, Foreign Countries, Attribution Theory
Minju Kim; Adena Schachner – Developmental Science, 2025
Listening to music activates representations of movement and social agents. Why? We test whether causal reasoning plays a role, and find that from childhood, people can intuitively reason about how musical sounds were generated, inferring the events and agents that caused the sounds. In Experiment 1 (N = 120, pre-registered), 6-year-old children…
Descriptors: Causal Models, Abstract Reasoning, Thinking Skills, Music
Megan E. Kauffmann – ProQuest LLC, 2022
The purpose of this study was to explore how evaluators justify using story-based methodologies when examining causality. The two primary research questions of the study included: 1) what arguments are made by evaluators to justify the credibility of story-based causal methodologies to evaluation stakeholders; and 2) from the perspective of…
Descriptors: Credibility, Evaluators, Stakeholders, Story Telling
Yi Feng; Peter M. Steiner – Society for Research on Educational Effectiveness, 2022
Research Context: In educational research, "context effects" are often of inferential interest to researchers as well as of evaluative interest to policymakers. While student education outcomes likely depend on individual-level influences like individual academic achievement, school contexts may also make a difference. Such questions are…
Descriptors: Hierarchical Linear Modeling, Accuracy, Graphs, Educational Research
Greenhalgh, Joanne; Manzano, Ana – International Journal of Social Research Methodology, 2022
Context is a key concept in developing realist causal explanations but its conceptualisation has received comparatively less attention. We conducted a review to explore how context is conceptualised within realist reviews and evaluations. We purposively selected 40 studies to examine: How is context defined? And how is context operationalised in…
Descriptors: Context Effect, Realism, Causal Models, Definitions
Isaeva, Razia; Aliyev, Razim – Quality in Higher Education, 2023
A qualitative empirical study of how higher education actors in Azerbaijan conceptualise excellence in teaching and how they promote it at different levels. The findings provide an original insight into how the concept of excellence is understood in the higher education of Azerbaijan. Intriguingly, there is no definition of teaching excellence nor…
Descriptors: Foreign Countries, Higher Education, Educational Quality, Educational Practices

Kenneth A. Frank; Qinyun Lin; Spiro J. Maroulis – Grantee Submission, 2024
In the complex world of educational policy, causal inferences will be debated. As we review non-experimental designs in educational policy, we focus on how to clarify and focus the terms of debate. We begin by presenting the potential outcomes/counterfactual framework and then describe approximations to the counterfactual generated from the…
Descriptors: Causal Models, Statistical Inference, Observation, Educational Policy
Gal, Iddo; Geiger, Vince – Educational Studies in Mathematics, 2022
In this article, we report on a typology of the demands of statistical and mathematical products (StaMPs) embedded in media items related to the COVID-19 (coronavirus) pandemic. The typology emerged from a content analysis of a large purposive sample of diverse media items selected from digital news sources based in four countries. The findings…
Descriptors: News Media, News Reporting, COVID-19, Pandemics
Quintana, Rafael – Sociological Methods & Research, 2023
Causal search algorithms have been effectively applied in different fields including biology, genetics, climate science, medicine, and neuroscience. However, there have been scant applications of these methods in social and behavioral sciences. This article provides an illustrative example of how causal search algorithms can shed light on…
Descriptors: Academic Achievement, Causal Models, Algorithms, Social Problems