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Gonzalez-Ocantos, Ezequiel; LaPorte, Jody – Sociological Methods & Research, 2021
Scholars who conduct process tracing often face the problem of missing data. The inability to document key steps in their causal chains makes it difficult to validate theoretical models. In this article, we conceptualize "missingness" as it relates to process tracing, describe different scenarios in which it is pervasive, and present…
Descriptors: Data, Research Problems, Qualitative Research, Causal Models
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Goddu, Mariel K.; Sullivan, J. Nicholas; Walker, Caren M. – Child Development, 2021
The ability to consider multiple possibilities forms the basis for a wide variety of human-unique cognitive capacities. When does this skill develop? Previous studies have narrowly focused on children's ability to prepare for incompatible future outcomes. Here, we investigate this capacity in a causal learning context. Adults (N = 109) and 18- to…
Descriptors: Toddlers, Cognitive Processes, Cognitive Development, Causal Models
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Pula, Besnik – International Journal of Social Research Methodology, 2021
Comparative and case study researchers have responded to critiques of their methods by developing formal procedures to validate theoretical claims through set theoretical logics of causal conditions. This 'logico-formalist turn' has involved the stricter application of the schemas of set theory and the philosophy of logic to raise validation…
Descriptors: Comparative Analysis, Case Studies, Realism, Social Science Research
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Ping-Lin Chuang – Language Testing, 2025
This experimental study explores how source use features impact raters' judgment of argumentation in a second language (L2) integrated writing test. One hundred four experienced and novice raters were recruited to complete a rating task that simulated the scoring assignment of a local English Placement Test (EPT). Sixty written responses were…
Descriptors: Interrater Reliability, Evaluators, Information Sources, Primary Sources
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Valeria M. Cabello – Pedagogies: An International Journal, 2025
Considering the increasing severity of environmental disasters and the scarcity of studies centered on children's perspectives, this article explores context-based learning to create spaces of hope. Constructing explanations fosters meaning creation and knowledge integration. Fourth graders' self-explanations about contamination in a degraded…
Descriptors: Childrens Attitudes, Elementary School Students, Student Attitudes, Science Education
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Jennifer F. Harrington; Patricia Snyder; Brian Reichow; Shujia Sun – Journal of Early Intervention, 2025
A non-concurrent multiple baseline design across four early intervention providers was used to examine functional relations between job-embedded professional development (PD), including practice-based coaching (PBC), and providers' fidelity of implementation of home visiting practices for embedded intervention. Four providers with one to two…
Descriptors: Early Childhood Teachers, Child Caregivers, Early Intervention, Home Visits
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Vivian Chau; Valsamma Eapen; Erinn Hawkins; Jane Kohlhoff – Child & Youth Care Forum, 2025
Background: There is growing interest in research understanding the individual-specific predictors of child callous-unemotional (CU) traits, particularly in early childhood. Objective: This study reviewed evidence from studies that investigated the relationship between early child temperament factors (between 0 and 3 years) and CU traits in…
Descriptors: Children, Child Behavior, Student Behavior, Personality Traits
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Nikolaidis, A. C. – Theory and Research in Education, 2023
While white ignorance is primarily produced and reproduced through social-structural processes, philosophy of education scholarship has focused on agent-centered educational solutions. This article argues that agent-centered solutions are ineffective and that education for disrupting white ignorance must be structure-centered. Specifically, the…
Descriptors: Racism, Racial Attitudes, Whites, Epistemology
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Douthwaite, Boru; Proietti, Claudio; Polar, Vivian; Thiele, Graham – American Journal of Evaluation, 2023
This paper develops a novel approach called Outcome Trajectory Evaluation (OTE) in response to the long-causal-chain problem confronting the evaluation of research for development (R4D) projects. OTE strives to tackle four issues resulting from the common practice of evaluating R4D projects based on theory of change developed at the start. The…
Descriptors: Research and Development, Change, Program Evaluation, Social Sciences
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Gibson, David; Kovanovic, Vitomir; Ifenthaler, Dirk; Dexter, Sara; Feng, Shihui – British Journal of Educational Technology, 2023
This paper discusses a three-level model that synthesizes and unifies existing learning theories to model the roles of artificial intelligence (AI) in promoting learning processes. The model, drawn from developmental psychology, computational biology, instructional design, cognitive science, complexity and sociocultural theory, includes a causal…
Descriptors: Learning Theories, Artificial Intelligence, Learning Processes, Evaluation Criteria
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Vidushi Adlakha; Eric Kuo – Physical Review Physics Education Research, 2023
Recent critiques of physics education research (PER) studies have revoiced the critical issues when drawing causal inferences from observational data where no intervention is present. In response to a call for a "causal reasoning primer" in PER, this paper discusses some of the fundamental issues in statistical causal inference. In…
Descriptors: Physics, Science Education, Statistical Inference, Causal Models
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Taylor, Jonathan E.; Sondermeyer, Elizabeth – Adult Learning, 2023
Over 2000 years ago, Aristotle wrote of four distinct causes at play in the world we know. Those causes, the material cause, the formal cause, the efficient cause, and the final cause, were meant to refer to ontological and, by extension, epistemological concerns, and were powerful enough to be seized upon and used in some form by those of very…
Descriptors: Philosophy, Causal Models, Evaluation Methods, Program Evaluation
Jennifer Hill; George Perrett; Vincent Dorie – Grantee Submission, 2023
Estimation of causal effects requires making comparisons across groups of observations exposed and not exposed to a a treatment or cause (intervention, program, drug, etc). To interpret differences between groups causally we need to ensure that they have been constructed in such a way that the comparisons are "fair." This can be…
Descriptors: Causal Models, Statistical Inference, Artificial Intelligence, Data Analysis
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Dae Woong Ham; Luke Miratrix – Grantee Submission, 2024
The consequence of a change in school leadership (e.g., principal turnover) on student achievement has important implications for education policy. The impact of such an event can be estimated via the popular Difference in Difference (DiD) estimator, where those schools with a turnover event are compared to a selected set of schools that did not…
Descriptors: Trend Analysis, Faculty Mobility, Academic Achievement, Principals
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Cahit Erdem – Educational Studies, 2024
This study aimed to comparatively analyse the effects of problem-based learning model (PBLM) on cognitive outputs (CO). The study reviewed quasi-experimental studies on PBLM and CO, focusing on the cognitive outputs of thinking skills, problem-solving skill, and academic achievement. The quantitative data of these studies, comprising 56 articles…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Problem Based Learning
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