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Yifang Wang; Huijuan Di; Qingru Duan – Early Childhood Education Journal, 2025
China's recent implementation of the three-child policy is expected to have profound implications for population dynamics, leading to potential changes in preschool enrollment and subsequent demand for preschool teachers. This study addresses this issue by utilizing population forecasting software (PADIS-INT) to project population growth trends…
Descriptors: Foreign Countries, Preschool Teachers, Teacher Shortage, Demand Occupations
Nianbo Dong; Keith Herman; Benjamin Kelcey; Sirui Ren; Wendy Reinke; Jessaca Spybrook – Grantee Submission, 2025
Contextual, identity, and cultural factors are not only associated with student outcomes but can also serve to moderate the effects of interventions. However, the conventional analysis of moderation commonly used in school psychology is subject to the selection bias potentially introducing bias into estimated moderator effects. This article…
Descriptors: Causal Models, Statistical Analysis, Context Effect, Intervention
Cuartas, Jorge; McCoy, Dana Charles – International Journal of Behavioral Development, 2021
Mediation has played a critical role in developmental theory and research. Yet, developmentalists rarely discuss the methodological challenges of establishing causality in mediation analysis or potential strategies to improve the identification of causal mediation effects. In this article, we discuss the potential outcomes framework from…
Descriptors: Mediation Theory, Behavior Development, Influences, Inferences
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
Verhaar, Erik; Medendorp, Wijbrand Pieter; Hunnius, Sabine; Stapel, Janny C. – Developmental Science, 2022
If cues from different sensory modalities share the same cause, their information can be integrated to improve perceptual precision. While it is well established that adults exploit sensory redundancy by integrating cues in a Bayes optimal fashion, whether children under 8 years of age combine sensory information in a similar fashion is still…
Descriptors: Bayesian Statistics, Causal Models, Statistical Inference, Visual Perception
Hilley, Chanler D.; O'Rourke, Holly P. – International Journal of Behavioral Development, 2022
Researchers in behavioral sciences are often interested in longitudinal behavior change outcomes and the mechanisms that influence changes in these outcomes over time. The statistical models that are typically implemented to address these research questions do not allow for investigation of mechanisms of dynamic change over time. However, latent…
Descriptors: Behavioral Science Research, Research Methodology, Longitudinal Studies, Behavior Change
Fansher, Madison; Adkins, Tyler J.; Shah, Priti – Grantee Submission, 2022
Media articles often communicate the latest scientific findings, and readers must evaluate the evidence and consider its potential implications. Prior work has found that the inclusion of graphs makes messages about scientific data more persuasive (Tal & Wansink, 2016). One explanation for this finding is that such visualizations evoke the…
Descriptors: Graphs, Correlation, Visual Aids, News Reporting
Posmik, Daniel C. – Journal of Student Financial Aid, 2022
Since the fall semester of 2016, first-time international student enrollment (ISE[subscript ft]) has declined at U.S. colleges and universities. This trend disrupts a steady upwards trajectory of ISE[subscript ft] rates. Previous research has demonstrated that various political, social, and macroeconomic factors influence the number of…
Descriptors: College Students, Foreign Students, Enrollment Trends, Declining Enrollment
Sergey V. Bobryshov; Larisa V. Sumenko; Vladimir S. Toiskin; Olga A. Taran; Angela V. Babayan – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2022
The main purpose of this work is to substantiate the essential and semantic, structural and content, and functional understanding and explanation of the paradigm and the paradigm shift in education; also, to identify the deterministic foundations of the paradigmatic shift, the parameters of its manifestation, and the potential of riskiness in…
Descriptors: Educational Change, Causal Models, Risk, Outcomes of Education
Goddu, Mariel K.; Lombrozo, Tania; Gopnik, Alison – Child Development, 2020
Previous research suggests that preschoolers struggle with understanding abstract relations and with "reasoning by analogy." Four experiments find, in contrast, that 3- and 4-year-olds (N = 168) are surprisingly adept at relational and analogical reasoning within a causal context. In earlier studies preschoolers routinely favored images…
Descriptors: Preschool Children, Logical Thinking, Abstract Reasoning, Causal Models
Stankiewicz, Katarzyna; Tomczak, Michal T.; Ziemianski, Pawel; Krawczyk-Brylka, Beata – Education Sciences, 2020
A conscious shaping of entrepreneurial competence is a relevant element of entrepreneurial education. In order to recognize which of the competencies regarded as entrepreneurial are characteristic of members of entrepreneurial teams, which is crucial for the work of those teams, it is necessary to identify the structure of those competencies. This…
Descriptors: Entrepreneurship, Competence, Teamwork, Business Administration Education
Qinyun Lin; Amy K. Nuttall; Qian Zhang; Kenneth A. Frank – Grantee Submission, 2023
Empirical studies often demonstrate multiple causal mechanisms potentially involving simultaneous or causally related mediators. However, researchers often use simple mediation models to understand the processes because they do not or cannot measure other theoretically relevant mediators. In such cases, another potentially relevant but unobserved…
Descriptors: Causal Models, Mediation Theory, Error of Measurement, Statistical Inference
Menekse Eskici; Semih Çayak – Journal of Educational Technology and Online Learning, 2023
This study examines the relationship between teachers' technology proficiencies and their level of integrating technology into their lessons. In this research, which was designed in a relational survey model, as data collection tools, the "Technology Proficiency Self-Assessment Scale for 21st Century Learning" developed by Christensen…
Descriptors: Foreign Countries, Elementary Secondary Education, Technology Integration, Teacher Competency Testing
Xu Qin – Grantee Submission, 2023
When designing a study for causal mediation analysis, it is crucial to conduct a power analysis to determine the sample size required to detect the causal mediation effects with sufficient power. However, the development of power analysis methods for causal mediation analysis has lagged far behind. To fill the knowledge gap, I proposed a…
Descriptors: Sample Size, Statistical Analysis, Causal Models, Mediation Theory
Jia-Hua Zhao; Shu-Tao Shangguan; Ying Wang – Journal of Computer Assisted Learning, 2025
Background: Computational thinking (CT) is a fundamental ability required of individuals in the 21st-century digital world. Past studies show that generative artificial intelligence (GenAI) can enhance students' CT skills. However, GenAI may produce inaccurate output, and students who rely too much on AI may learn little and be unable to think…
Descriptors: Artificial Intelligence, Technology Uses in Education, Skill Development, Computation

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