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Ismail Cuhadar; Ömür Kaya Kalkan – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Simulation studies are needed to investigate how many score categories are sufficient to treat ordered categorical data as continuous, particularly for bifactor models. The current simulation study aims to address such needs by investigating the performance of estimation methods in the bifactor models with ordered categorical data. Results support…
Descriptors: Predictor Variables, Structural Equation Models, Sample Size, Evaluation Methods
Dan Goldhaber; Nick Huntington-Klein; Nate Brown; Scott Imberman; Katharine O. Strunk – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2024
The COVID-19 pandemic forced widespread school closures and a shift to remote learning. A growing body of research has examined the effects of remote learning on student outcomes. But the accuracy of the school modality measures used in these studies is questionable. The most common measures--based on self-reports or district website…
Descriptors: Handheld Devices, Telecommunications, COVID-19, Pandemics
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Xiaopeng Zhang; Nan Gong – Studies in Second Language Acquisition, 2024
This study examined how linguistic complexity features contribute to second language (L2) processing effort by analyzing the Dutch English-L2 learners' eye movements from GECO and MECO, two eye-tracking corpora. Processing effort was operationalized as reading rate, mean fixation duration, regression rate, skipping rate, and mean saccade…
Descriptors: Second Language Learning, Linguistics, Language Processing, English (Second Language)
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Conor O. Chandler; Irina Proskorovsky – Research Synthesis Methods, 2024
In health technology assessment, matching-adjusted indirect comparison (MAIC) is the most common method for pairwise comparisons that control for imbalances in baseline characteristics across trials. One of the primary challenges in MAIC is the need to properly account for the additional uncertainty introduced by the matching process. Limited…
Descriptors: Predictor Variables, Influence of Technology, Evaluation Methods, Methods Research
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Elizabeth Spencer Kelley; Lindsey Peters-Sanders; Houston Sanders; Keri Madsen; Yagmur Seven; Howard Goldstein – Grantee Submission, 2025
Introduction: The current study examined the extent to which static and dynamic measures of vocabulary and word learning predicted response and identified poor responders to a vocabulary intervention. Methods: Participants were 46 preschool children in classrooms randomly assigned to complete the Story Friends intervention in two…
Descriptors: Vocabulary Development, Preschool Children, Preschool Education, Predictor Variables
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Guohao He; Songshan Chen; Hongyi Lin; Aoxue Su – Educational Psychology Review, 2024
In the present meta-analysis, we systematically examined the association between students' initial level of metacognition and their academic achievement at least three months later. Using multilevel meta-analysis as well as meta-analytic structural equation modelling, we analysed data from 71,171 students provided by 28 independent studies. The…
Descriptors: Meta Analysis, Metacognition, Correlation, Academic Achievement
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Yongbi Zhi; Ali Derakhshan – Asia-Pacific Education Researcher, 2025
Considering the key role of organizational commitment in teachers' professional performance, many researchers have studied the predictors of this variable in different educational institutions. However, a short glance at the pertinent literature displays that most of the previous studies on this variable have been conducted in general education…
Descriptors: Language Teachers, Self Control, Factor Analysis, Measurement Techniques
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Jing Liu; Megan Kuhfeld; Monica Lee – Educational Policy, 2025
Noncognitive constructs such as self-efficacy, social awareness, and academic engagement are widely acknowledged as critical components of human capital, but systematic data collection on such skills in school systems is complicated by conceptual ambiguities, measurement challenges and resource constraints. This study addresses this issue by…
Descriptors: Social Emotional Learning, Student Characteristics, Demography, Achievement