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Ana Costa; Luísa Faria – European Journal of Psychology of Education, 2024
An individualist (I) or collectivist (C) cultural orientation affects individuals' attitudes, behaviours and values. This study aimed to identify the first-year secondary-school students' I-C profiles and explore their implications for students' trait emotional intelligence (EI), emotions towards school and academic achievement (GPA) throughout…
Descriptors: Secondary School Students, Longitudinal Studies, Academic Achievement, Individualism
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Thomas D. Griffin; Allison J. Jaeger; M. Anne Britt; Jennifer Wiley – Instructional Science: An International Journal of the Learning Sciences, 2024
Relying on multiple documents to answer questions is becoming common for both academic and personal inquiry tasks. These tasks often require students to explain phenomena by taking various causal factors that are mentioned separately in different documents and integrating them into a coherent multi-causal explanation of some phenomena. However,…
Descriptors: Documentation, Inquiry, Grade 8, Scientific Concepts
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Wendy Chan – Asia Pacific Education Review, 2024
As evidence from evaluation and experimental studies continue to influence decision and policymaking, applied researchers and practitioners require tools to derive valid and credible inferences. Over the past several decades, research in causal inference has progressed with the development and application of propensity scores. Since their…
Descriptors: Probability, Scores, Causal Models, Statistical Inference
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Kleinberg, Samantha; Marsh, Jessecae K. – Cognitive Research: Principles and Implications, 2023
Each day people make decisions about complex topics such as health and personal finances. Causal models of these domains have been created to aid decisions, but the resulting models are often complex and it is not known whether people can use them successfully. We investigate the trade-off between simplicity and complexity in decision making,…
Descriptors: Information Needs, Causal Models, Decision Making, Difficulty Level
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Haesebrouck, Tim – Sociological Methods & Research, 2023
The field of qualitative comparative analysis (QCA) is witnessing a heated debate on which one of the QCA's main solution types should be at the center of substantive interpretation. This article argues that the different QCA solutions have complementary strengths. Therefore, researchers should interpret the three solution types in an integrated…
Descriptors: Qualitative Research, Comparative Analysis, Data Analysis, Data Collection
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Brock, Richard; Kampourakis, Kostas – Science & Education, 2023
Scientific teleological explanations cite end states as causes to account for physical phenomena. Researchers in science education have noted that students can use teleological explanations in ways that are illegitimate, for example, by implying that inanimate objects are acting intentionally. Despite such cases, several examples of legitimate…
Descriptors: Physics, Science Education, Epistemology, Philosophy
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García-Montoya, Laura; Mahoney, James – Sociological Methods & Research, 2023
This article develops a framework for the causal analysis of critical events in case study research. A critical event is defined as a contingent event that is causally important for an outcome in a specific case. Using set-theoretic analysis, this article offers definitions and measurement tools for the study of contingency and causal importance…
Descriptors: Case Studies, Causal Models, Definitions, Measurement Techniques
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Julian Schuessler; Peter Selb – Sociological Methods & Research, 2025
Directed acyclic graphs (DAGs) are now a popular tool to inform causal inferences. We discuss how DAGs can also be used to encode theoretical assumptions about nonprobability samples and survey nonresponse and to determine whether population quantities including conditional distributions and regressions can be identified. We describe sources of…
Descriptors: Data Collection, Graphs, Error of Measurement, Statistical Bias
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Lucy D'Agostino McGowan; Travis Gerke; Malcolm Barrett – Journal of Statistics and Data Science Education, 2024
This article introduces a collection of four datasets, similar to Anscombe's quartet, that aim to highlight the challenges involved when estimating causal effects. Each of the four datasets is generated based on a distinct causal mechanism: the first involves a collider, the second involves a confounder, the third involves a mediator, and the…
Descriptors: Statistics Education, Programming Languages, Statistical Inference, Causal Models
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Jacqueline D. Woolley; Paola A. Baca; Kelsey A. Kelley – Journal of Cognition and Development, 2024
Superstitious behaviors persist across time, culture, and age. Although often considered irrational and even potentially harmful, superstitions have recently been shown to have positive effects on stress levels, confidence, and ultimately, performance. However, it remains unclear how people conceive of superstitious behaviors, specifically,…
Descriptors: Children, College Students, Beliefs, Theory of Mind
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Qian Zhang; Qi Wang – Structural Equation Modeling: A Multidisciplinary Journal, 2024
In the article, we focused on the issues of measurement error and omitted confounders while conducting mediation analysis under experimental studies. Depending on informativeness of the confounders between the mediator (M) and outcome (Y), we described two approaches. When researchers are confident that primary confounders are included (e.g.,…
Descriptors: Error of Measurement, Research and Development, Mediation Theory, Causal Models
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Heather C. Hill; Zid Mancenido; Susanna Loeb – Educational Researcher, 2024
Causal evaluations in teacher education are rare. Underlying reasons include a lack of clearly defined treatments, a lack of research designs that can work in the context of teacher education programs, and a lack of resources for enacting these designs. This article provides a framework for how to fill these gaps. We first propose an approach to…
Descriptors: Teacher Education, Teacher Researchers, Educational Research, Research Needs
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Anna V. Oppenheimer; Marc G. Weisskopf; Kristen Lyall – Journal of Autism and Developmental Disorders, 2024
Purpose: The Social Responsiveness Scale (SRS) is frequently used in research settings to measure characteristics associated with autism spectrum disorders (ASD). A short version has been developed but not yet tested for certain properties of the full SRS, such as familiality. The purpose of this study was to determine if prior familiality…
Descriptors: Autism Spectrum Disorders, Genetics, Heredity, Children
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Emre Ertürk; Ümit Isik; Evrim Aktepe – International Journal of Developmental Disabilities, 2024
Introduction: A number of recent studies have brought attention to the involvement of dietary salt and blood sodium levels in the etiopathogenesis of autism. In our study, by comparing the blood sodium levels of children with autism spectrum disease (ASD) and healthy children, we aimed to shed light on the etiopathogenesis of ASD. Method: We…
Descriptors: Foreign Countries, Autism Spectrum Disorders, Children, Adolescents
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Judith Glaesser – International Journal of Social Research Methodology, 2024
Causal asymmetry is a situation where the causal factors under study are more suitable for explaining the outcome than its absence (or vice versa); they do not explain both equally well. In such a situation, presence of a cause leads to presence of the effect, but absence of the cause may not lead to absence of the effect. A conceptual discussion…
Descriptors: Comparative Analysis, Causal Models, Correlation, Foreign Countries
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