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Direct linkBen Kelcey; Fangxing Bai; Amota Ataneka; Yanli Xie; Kyle Cox – Society for Research on Educational Effectiveness, 2024
We develop a structural after measurement (SAM) method for structural equation models (SEMs) that accommodates missing data. The results show that the proposed SAM missing data estimator outperforms conventional full information (FI) estimators in terms of convergence, bias, and root-mean-square-error in small-to-moderate samples or large samples…
Descriptors: Structural Equation Models, Research Problems, Error of Measurement, Maximum Likelihood Statistics
Zhang, Dongbo; Ke, Sihui; Mo, Ya – Journal of Educational Psychology, 2023
This article synthesizes the roles of morphology in English reading acquisition and reports a meta-analytic structural equation modeling study (k = 107, N = 21,818) that tested the effects of morphological awareness (MA) on reading comprehension in school-aged readers. Moderator analysis was conducted through a set of subgroup comparisons based on…
Descriptors: Morphology (Languages), Reading Comprehension, Comparative Analysis, Monolingualism
Kurian, Joe; Mekoth, Nandakumar – Studies in Higher Education, 2021
The influence of emotionality and conscientiousness, the personality traits, on academic performance were examined on students of higher education using the perspectives of conservation of resources theory and social cognitive theory. Skinner's coping model was utilized to understand coping mechanisms in the context of engineering education.…
Descriptors: Coping, Academic Achievement, Engineering Education, Academic Ability
