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Gries, Stefan Th. – Language Learning, 2021
This methods showcase article provides a detailed overview of a mixed-effects modeling analysis of corpus data on the use of "that" in object and subject complementation by native speakers of English compared to its use by German and Spanish learners of English.
Descriptors: Computational Linguistics, Form Classes (Languages), Native Speakers, English
Tsai, Angela; Burrell, Mark Henry; Sturm, Sean; Garbett, Dawn – New Zealand Journal of Educational Studies, 2021
Enhancing student engagement and achievement in large undergraduate university courses is a vibrant area of research. Many existing studies have demonstrated the capacity of technologically enhanced formal and informal learning spaces to promote learning. However, this literature is dominated by studies that use assessment to incentivise student…
Descriptors: Nongraded Student Evaluation, Learning Activities, Learner Engagement, Academic Achievement
Kurtulus, Aytaç; Eryilmaz, Ali – Educational Research Quarterly, 2021
The purpose of this study is to analyze the relationships between the flow states and undergraduate attitudes' towards math and engagement in a mathematics course in an education faculty. The results showed that the more positive attitudes the students had towards mathematics courses, the more flow they experienced and the less anxiety they had in…
Descriptors: Mathematics Education, Learner Engagement, Undergraduate Students, Student Attitudes
Adam Sales – Society for Research on Educational Effectiveness, 2021
Education researchers frequently have to choose between statistical models for their data, and in many cases the candidate models or parameters can be listed in a sequence, m=1,...,M, from less preferable choices to more. For instance, in choosing a bandwidth for regression discontinuity designs, researchers would favor the largest possible…
Descriptors: Educational Research, Statistical Analysis, Research Design, Decision Making
Sharma, Shreela V.; Kelder, Steven; Yamal, Jose-Miguel; Chuang, Ru-Jye; Byrd-Williams, Courtney; Bona, Gisela; Bajaj, Nimit; Brito, Frances; Neumann, Ana S. – Journal of School Health, 2022
Background: We present results of the development and feasibility testing of CATCH Healthy Smiles, a school-based oral health program, among children in grades K-2 in Houston, Texas. Methods: Study design was cross-sectional (N = 2 schools; N = 125 parent-child dyads; 31 kindergarteners, 42 first graders, and 52 second graders). CATCH Healthy…
Descriptors: Program Development, Feasibility Studies, Dentistry, Health Programs
Filderman, Marissa J.; Austin, Christy R.; Boucher, Alexis N.; O'Donnell, Katherine; Swanson, Elizabeth A. – Exceptional Children, 2022
Informed by theories of reading comprehension and prior reviews of reading comprehension intervention, this meta-analysis uniquely contributes to the literature because it describes the relative effects of various approaches to comprehension intervention for struggling readers in Grades 3 through 12. Findings from 64 studies demonstrate…
Descriptors: Meta Analysis, Reading Comprehension, Intervention, Reading Achievement
Elpus, Kenneth – Journal of Research in Music Education, 2022
This study explored the transition from secondary to postsecondary education among a national sample of students who had or had not studied music in high school. Using evidence from the High School Longitudinal Study of 2009, a nationally representative longitudinal study of 21,440 American high school students who were ninth graders in the…
Descriptors: Music Education, Student Adjustment, High School Students, Longitudinal Studies
Adinolfi, M. Leah; Johnson, David R.; Braxton, John M. – College and University, 2022
Theories explaining why students drop out of college have evolved to emphasize interactions between students and their college environments. While the interactionist model underscores the influence of social integration on student retention, few have examined the role of students' social networks in the decision-making process. Drawing on a survey…
Descriptors: Social Networks, Dropouts, College Students, Decision Making
Chun Wang; Ruoyi Zhu; Gongjun Xu – Grantee Submission, 2022
Differential item functioning (DIF) analysis refers to procedures that evaluate whether an item's characteristic differs for different groups of persons after controlling for overall differences in performance. DIF is routinely evaluated as a screening step to ensure items behavior the same across groups. Currently, the majority DIF studies focus…
Descriptors: Models, Item Response Theory, Item Analysis, Comparative Analysis
Shear, Benjamin R. – Journal of Educational Measurement, 2018
When contextual features of test-taking environments differentially affect item responding for different test takers and these features vary across test administrations, they may cause differential item functioning (DIF) that varies across test administrations. Because many common DIF detection methods ignore potential DIF variance, this article…
Descriptors: Test Bias, Regression (Statistics), Hierarchical Linear Modeling
Daniel Kasper; Katrin Schulz-Heidorf; Knut Schwippert – Sociological Methods & Research, 2024
In this article, we extend Liao's test for across-group comparisons of the fixed effects from the generalized linear model to the fixed and random effects of the generalized linear mixed model (GLMM). Using as our basis the Wald statistic, we developed an asymptotic test statistic for across-group comparisons of these effects. The test can be…
Descriptors: Models, Achievement Tests, Foreign Countries, International Assessment
Coskun, Kerem; Coskun, Meral – Education, 2019
The present study aims to investigate correlation between development of socio-emotional skills and transition from intellectual reality to visual reality. Therefore, it was designed in correlational research. Research sample included 120 primary school children. Data was collected through Facial Emotion Recognition and Empathy Test (FERET), and a…
Descriptors: Social Emotional Learning, Cognitive Development, Elementary School Students, Regression (Statistics)
Tipton, Elizabeth; Pustejovsky, James E.; Ahmadi, Hedyeh – Research Synthesis Methods, 2019
At the beginning of the development of meta-analysis, understanding the role of moderators was given the highest priority, with meta-regression provided as a method for achieving this goal. Yet in current practice, meta-regression is not as commonly used as anticipated. This paper seeks to understand this mismatch by reviewing the history of…
Descriptors: Meta Analysis, Regression (Statistics), Research Methodology, Educational History
Sorjonen, Kimmo; Melin, Bo; Ingre, Michael – Educational and Psychological Measurement, 2019
The present simulation study indicates that a method where the regression effect of a predictor (X) on an outcome at follow-up (Y1) is calculated while adjusting for the outcome at baseline (Y0) can give spurious findings, especially when there is a strong correlation between X and Y0 and when the test-retest correlation between Y0 and Y1 is…
Descriptors: Predictor Variables, Regression (Statistics), Correlation, Error of Measurement
Cunningham, George B.; Ahn, Na Young – Measurement in Physical Education and Exercise Science, 2019
Moderators are variables that affect the relationship between a predictor and outcome. They help to clarify otherwise ambiguous patterns of results, extend theory, and signal the growth of a field. Given the importance of moderators, the authors offer an overview of methodological and statistical considerations for testing moderation and then…
Descriptors: Athletics, Research, Statistical Analysis, Research Methodology

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