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Karishma Furtado; Sarah Murphy; Jason Purnell; Odis Johnson; Ross Brownson – Society for Research on Educational Effectiveness, 2023
Background: Public schools are among the first civic institution with which many individuals have prolonged, meaningful social interaction. Lessons about the authority, power, and fairness of civic institutions, conveyed through disciplinary and social control practices, may be part of the "hidden curriculum," that teaches students about…
Descriptors: High School Students, Grade 10, African American Students, Discipline Policy
Jane E. Miller – Numeracy, 2023
Students often believe that statistical significance is the only determinant of whether a quantitative result is "important." In this paper, I review traditional null hypothesis statistical testing to identify what questions inferential statistics can and cannot answer, including statistical significance, effect size and direction,…
Descriptors: Statistical Significance, Holistic Approach, Statistical Inference, Effect Size
Zhang, Qiyang – Health Education Journal, 2021
Objective: The aim of this study was to investigate the impact of illiteracy on physical health and mental health. Design: Matching methods (nearest neighbour matching, Mahalanobis metric matching, and propensity score matching). Setting: Elderly people at least 65 years old in 22 provinces of China. Methods: The analysis used data from Chinese…
Descriptors: Illiteracy, Inferences, Causal Models, Physical Health
Rascle, Olivier; Marbac, Faustine; Higgins, Nancy C.; Le Foll, David; Charrier, Maxime; Cabagno, Geneviève – SAGE Open, 2021
The present field experiment investigated the effects of accurate and non-accurate performance feedback on causal attributions, success expectancy, performance, and persistence on a motor task. Forty-six male middle-schoolers were randomly assigned to a Contingent (accurate) feedback, Non-contingent (non-accurate) feedback, or Control (no…
Descriptors: Middle School Students, Academic Achievement, Student Motivation, Feedback (Response)
Arel-Bundock, Vincent – Sociological Methods & Research, 2022
Qualitative comparative analysis (QCA) is an influential methodological approach motivated by set theory and boolean logic. QCA proponents have developed algorithms to analyze quantitative data, in a bid to uncover necessary and sufficient conditions where causal relationships are complex, conditional, or asymmetric. This article uses computer…
Descriptors: Comparative Analysis, Qualitative Research, Attribution Theory, Computer Simulation
Danielle S. McNamara; Tracy Arner; Reese Butterfuss; Debshila Basu Mallick; Andrew S. Lan; Rod D. Roscoe; Henry L. Roediger; Richard G. Baraniuk – Grantee Submission, 2022
The learning sciences inherently involve interdisciplinary research with an overarching objective of advancing theories of learning and to inform the design and implementation of effective instructional methods and learning technologies. In these endeavors, learning sciences encompass diverse constructs, measures, processes, and outcomes…
Descriptors: Artificial Intelligence, Learning Processes, Learning Motivation, Educational Research
Joshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Journal of Educational and Behavioral Statistics, 2025
Analyzing heterogeneous treatment effects (HTEs) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and preintervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics
Hideo Akabayashi; Ryuichi Tanaka – Education Economics, 2024
We present new estimates of the internal rate of return to early childhood education. Utilizing the nationwide expansion of preschool education in Japan between 1960 and 1980, we initially assess the impact of preschool attendance on high school graduation and college enrollment for men. Subsequently, we compute the social rate of return to…
Descriptors: Outcomes of Education, Early Childhood Education, Foreign Countries, School Expansion
Young, Cristobal – Sociological Methods & Research, 2019
The commenter's proposal may be a reasonable method for addressing uncertainty in predictive modeling, where the goal is to predict "y." In a treatment effects framework, where the goal is causal inference by conditioning-on-observables, the commenter's proposal is deeply flawed. The proposal (1) ignores the definition of…
Descriptors: Causal Models, Predictor Variables, Research Methodology, Ambiguity (Context)
Cabero-Almenara, Julio; Gutiérrez-Castillo, Juan Jesús; Guillén-Gámez, Francisco D.; Gaete-Bravo, Alejandra F. – Technology, Knowledge and Learning, 2023
The purpose of the present study is to analyze the digital competence of Higher Education students, as a function of their academic performance (have either repeated or a not previously), as well as to predict its significant predictors. For this, an ex-post factor and a sample of 17301 students from Chile (Latin America) were utilized. A…
Descriptors: Digital Literacy, Academic Achievement, Higher Education, Predictor Variables
Xu Qin; Lijuan Wang – Grantee Submission, 2023
Research questions regarding how, for whom, and where a treatment achieves its effect on an outcome have become increasingly valued in substantive research. Such questions can be answered by causal moderated mediation analysis, which assesses the heterogeneity of the mediation mechanism underlying the treatment effect across individual and…
Descriptors: Causal Models, Mediation Theory, Computer Software, Statistical Analysis
Decheng Zhao; Yao Zhou; Meng Wang – Chinese Education & Society, 2023
School governance is a topic of general interest worldwide in educational research, and in recent years, it has also drawn widespread attention in China. In order to examine the problems faced in the process of promoting the modernization of school governance at Chinese primary and secondary schools, we conducted interviews with different…
Descriptors: Educational Change, Governance, Accountability, Elementary Schools
Teacher Shortages: A Framework for Understanding and Predicting Vacancies. EdWorkingPaper No. 22-684
Danielle Sanderson Edwards; Matthew A. Kraft; Alvin Christian; Christopher A. Candelaria – Annenberg Institute for School Reform at Brown University, 2023
We develop a unifying conceptual framework for understanding and predicting teacher shortages at the state, region, district, and school levels. We then generate and test hypotheses about geographic and subject variation in teacher shortages using data on unfilled teaching positions in Tennessee during the fall of 2019. We find that teacher…
Descriptors: Teacher Shortage, Faculty Mobility, Predictor Variables, Public School Teachers
Soojung Park; Taeyeon Kim; Minseok Yang – Journal of Educational Change, 2025
This study investigates recent discourse on "learning gaps" through the lens of Korean teachers' perspectives. Drawing on ecological systems theory and Confucian influences on East Asian education, we analyzed interviews with 24 Korean teachers to explore their perceptions of pandemic-induced learning disparities and their root causes.…
Descriptors: Academic Achievement, Achievement Gap, Discourse Analysis, Foreign Countries
Kaplan, Avi; Cromley, Jennifer; Perez, Tony; Dai, Ting; Mara, Kyle; Balsai, Michael – Educational Researcher, 2020
In this commentary, we complement other constructive critiques of educational randomized control trials (RCTs) by calling attention to the commonly ignored role of context in causal mechanisms undergirding educational phenomena. We argue that evidence for the central role of context in causal mechanisms challenges the assumption that RCT findings…
Descriptors: Context Effect, Educational Research, Randomized Controlled Trials, Causal Models

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