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Wan-Chong Choi; Chan-Tong Lam; António José Mendes – International Educational Data Mining Society, 2025
Missing data presents a significant challenge in Educational Data Mining (EDM). Imputation techniques aim to reconstruct missing data while preserving critical information in datasets for more accurate analysis. Although imputation techniques have gained attention in various fields in recent years, their use for addressing missing data in…
Descriptors: Research Problems, Data Analysis, Research Methodology, Models
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Ethan Fosse; Fabian T. Pfeffer – Sociological Methods & Research, 2025
Over the past decade there has been a striking increase in the number of quantitative studies examining the effects of social mobility, with almost all based on the diagonal reference model (DRM). We make four main contributions to this rapidly expanding literature. First, we show that under plausible values of mobility effects, the DRM will, in…
Descriptors: Social Mobility, Models, Birth Rate, Statistical Analysis
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Xi Song; Xiang Zhou – Sociological Methods & Research, 2025
Social mobility scholars have long been interested in estimating the effect of intergenerational mobility, typically measured by differences in the socioeconomic status between parents and offspring, on later-life outcomes of offspring. In a 2022 article "Heterogeneous Effects of Intergenerational Social Mobility: An Improved Method and New…
Descriptors: Social Mobility, Socioeconomic Status, Differences, Models
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You Yang; Mohamad Sattar Rasul; Marlissa Omar – Journal of Education and Learning (EduLearn), 2025
Open education and vocational education are crucial for building a learning society and promoting national development. This study uses CiteSpace software to conduct an in-depth analysis of keywords visual timelines for research hotspots, and keywords with the strongest citation bursts in China and other countries. Given the rapid global…
Descriptors: Educational Trends, Educational Research, Research Problems, Educational Needs