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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
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Pellerine, Liam P.; Petterson, Jennifer L.; Shivgulam, Madeline E.; Johansson, Peter J.; Hettiarachchi, Pasan; Kimmerly, Derek S.; Frayne, Ryan J.; O'Brien, Myles W. – Measurement in Physical Education and Exercise Science, 2023
Device-based measures often rely on the positive relationship between walking cadence and metabolic equivalents of task (METs) to estimate physical activity. It is unknown whether this relationship remains during jogging/running. The study purpose was to investigate the relationships between METs, cadence, and step length during walking and…
Descriptors: Physical Activity Level, Predictor Variables, Physical Activities, Young Adults
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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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Hoek, Lianne; Munniksma, Anke; Dijkstra, Anne Bert – Journal of Social Science Education, 2022
Purpose: Scholars are increasingly paying attention to the characteristics of effective citizenship education. The systematic use of data to maximise student learning, also called an output-driven approach, is often presented as a powerful predictor of student outcomes. However, its effectiveness has not been studied in citizenship education.…
Descriptors: Teaching Methods, Citizenship Education, Instructional Effectiveness, Measurement Techniques
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Weatherill, Maryanne; Tibus, Elizabeth O.; Rodriguez, Amy D. – Topics in Language Disorders, 2022
Purpose: Motivation is a complex phenomenon that can influence a person's ability to make progress in treatment. We sought to understand how motivation is currently measured and utilized in aphasia rehabilitation by identifying treatment studies that (1) include measurement of motivation and (2) use motivation to predict treatment response.…
Descriptors: Aphasia, Predictor Variables, Speech Therapy, Outcomes of Treatment
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Curtis, Guy J.; McNeill, Margot; Slade, Christine; Tremayne, Kell; Harper, Rowena; Rundle, Kiata; Greenaway, Ruth – Studies in Higher Education, 2022
The highest estimates of the prevalence of commercial contract cheating in Australia come from self-report surveys, which suggest that around 2% of students engage in commercial contract cheating during their higher education studies. However, self-report surveys are limited in that participants under-report socially-undesirable behaviours. In…
Descriptors: Measurement Techniques, Incidence, Cheating, Contracts
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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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Myers, Aaron J.; Finney, Sara J. – Educational Assessment, 2021
The indirect effect of perceived test importance on test performance via examinee effort is often modeled using importance and effort scores measured "after" test completion, which does not align with their theoretical temporal ordering. These retrospectively measured scores may be influenced by examinees' test performance. To…
Descriptors: Student Motivation, Measurement Techniques, Testing, College Students
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Zhao, Lei – Asia-Pacific Education Researcher, 2023
Social media use can bring negative effects to college students, such as social media addiction (SMA) and decline in academic performance. SMA may increase the perceived stress level of college students, and stress has a negative impact on academic performance, but this potential mediating role of stress has not been verified in existing studies.…
Descriptors: Social Media, Undergraduate Students, Addictive Behavior, Predictor Variables
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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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Wiberg, Marie; Rolfsman, Ewa – Scandinavian Journal of Educational Research, 2023
The overall aim of this study was to examine the different self-reported students' socioeconomic status (SES) measures in the Trends in Mathematics and Science Study (TIMSS) in comparison to national SES measures obtained from Swedish official registers. A further aim was to determine if the same conclusions could be drawn if different student…
Descriptors: Measurement Techniques, Socioeconomic Status, Achievement Tests, Elementary Secondary Education
Reddy, Linda A.; Hua, Anh N.; Dudek, Christopher M.; Kettler, Ryan; Arnold-Berkovits, Ilona; Lekwa, Adam; Crouse, Kevin; Kurz, Alexander; Hu, Jiefang – Assessment for Effective Intervention, 2021
This study examined the relationship of school administrator and teacher self-ratings of instructional and behavioral management practices to student growth on statewide achievement tests (Partnership for Assessment of Readiness for College and Career [PARCC]). The study included 78 teachers and 1,594 students from fourth through eighth grades in…
Descriptors: Administrator Attitudes, Teacher Attitudes, Measurement Techniques, Classroom Techniques
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Drezner, Noah D.; Pizmony-Levy, Oren; Anderson-Long, Maria – Teachers College Record, 2020
Background/Context: Government support for higher education has decreased over the past few decades. In turn, institutions are seeking alternative sources of funding and increasing reliance on alumni giving. Although trust is important to social institutions and nonprofits, we know little about the role of trust in alumni engagement.…
Descriptors: Alumni, Private Financial Support, Attitudes, Trust (Psychology)
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