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Park, Sunyoung; Kim, Nam Hui – European Journal of Training and Development, 2022
Purpose: The purpose of this study is to examine the effect of students' self-regulation, co-regulation and behavioral engagement on their performance in flipped learning environments in higher education. Design/methodology/approach: The subjects were college students taking an education course offered at a 4-year university in South Korea.…
Descriptors: Metacognition, Learner Engagement, Flipped Classroom, Teaching Methods
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Howard, Steven J.; Vasseleu, E.; Neilsen-Hewett, C.; de Rosnay, M.; Williams, K. E. – Child & Youth Care Forum, 2022
Background: Over the past few decades early self-regulation has been identified as foundational to positive learning and wellbeing trajectories. As a consequence, a wide range of approaches have been developed to capture children's developmental progress in self-regulation. Little is known, however, about whether and which of these are reliable…
Descriptors: Prediction, School Readiness, Self Control, Preschool Children
Aytürk, Ezgi; Cham, Heining; Jennings, Patricia A.; Brown, Joshua L. – Educational and Psychological Measurement, 2020
Methods to handle ordered-categorical indicators in latent variable interactions have been developed, yet they have not been widely applied. This article compares the performance of two popular latent variable interaction modeling approaches in handling ordered-categorical indicators: unconstrained product indicator (UPI) and latent moderated…
Descriptors: Evaluation Methods, Grade 3, Grade 4, Grade 5
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Bicer, Ali; Capraro, Robert M.; Capraro, Mary M. – EURASIA Journal of Mathematics, Science & Technology Education, 2017
Previous research identified a strong correlation between mathematics and science performance albeit for small samples of students. Even though there was a high correlation between mathematics and science performance, researchers examining students' STEM achievement investigated mathematics and science achievement separately. The present study…
Descriptors: High School Students, Grade 11, STEM Education, Evaluation Methods
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Sorjonen, Kimmo; Hemmingsson, Tomas; Lundin, Andreas; Falkstedt, Daniel; Melin, Bo – Intelligence, 2012
The question whether a person's attained socioeconomic position is mainly due to hers/his intelligence, socioeconomic background, or level of education, has sparked some controversy. In the present study, the effects of these three variables, as well as emotional capacity, on attained occupational position and on income were analyzed with…
Descriptors: Intelligence, Income, Structural Equation Models, Academic Achievement
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Traynor, Anne; Raykov, Tenko – Comparative Education Review, 2013
In international achievement studies, questionnaires typically ask about the presence of particular household assets in students' homes. Responses to the assets questions are used to compute a total score, which is intended to represent household wealth in models of test performance. This study uses item analysis and confirmatory factor analysis…
Descriptors: Secondary School Students, Academic Achievement, Validity, Psychometrics
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Schochet, Peter Z.; Puma, Mike; Deke, John – National Center for Education Evaluation and Regional Assistance, 2014
This report summarizes the complex research literature on quantitative methods for assessing how impacts of educational interventions on instructional practices and student learning differ across students, educators, and schools. It also provides technical guidance about the use and interpretation of these methods. The research topics addressed…
Descriptors: Statistical Analysis, Evaluation Methods, Educational Research, Intervention
Sandler, Martin E. – Online Submission, 2010
Effective assessment of teaching and learning with technology requires a capacity to map learning outcomes. Student attitudes of the use of IT are measured in a structural equation model derived from an instrument based on the principles of undergraduate practice of Chickering and Ehrmann (1996). Institutional and background data are included. By…
Descriptors: Undergraduate Study, Student Attitudes, Academic Achievement, Path Analysis
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Hilgeman, Michelle M.; Durkin, Daniel W.; Sun, Fei; DeCoster, Jamie; Allen, Rebecca S.; Gallagher-Thompson, Dolores; Burgio, Louis D. – Gerontologist, 2009
Purpose: The primary aim of this study was to test the stress process model (SPM; Pearlin, Mullan, Semple, & Skaff, 1990) in a racially diverse sample of Alzheimer's caregivers (CGs) using structural equation modeling (SEM) and regression techniques. A secondary aim was to examine race or ethnicity as a moderator of the relation between latent…
Descriptors: Ethnicity, Structural Equation Models, Academic Achievement, Caregivers
Shin, Jongho; Espin, Christine A.; Deno, Stanley L.; McConnell, Scott – Asia Pacific Education Review, 2004
The main purpose of this paper is to demonstrate how to apply the Hierarchical Linear Modeling (HLM) technique to multi-wave Curriculum-Based Measurement (CBM) measures in modeling academic growth and assessing its relations to student-and instruction-related variables. HLM has advantages over other statistical methods (e.g., repeated measures…
Descriptors: Skill Development, Psychometrics, Learning Problems, Educational Practices