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Showing 1 to 15 of 18 results Save | Export
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Rashelle J. Musci; Joseph Kush; Elise T. Pas; Catherine P. Bradshaw – Grantee Submission, 2024
Given the increased focus of educational research on what works for whom and under what circumstances over the last decade, educational researchers are increasingly turning toward mixture models to identify heterogeneous subgroups among students. Such data are inherently nested, as students are nested within classrooms and schools. Yet there has…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Nonparametric Statistics, Educational Research
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Jie Fang; Zhonglin Wen; Kit-Tai Hau – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Currently, dynamic structural equation modeling (DSEM) and residual DSEM (RDSEM) are commonly used in testing intensive longitudinal data (ILD). Researchers are interested in ILD mediation models, but their analyses are challenging. The present paper mathematically derived, empirically compared, and step-by-step demonstrated three types (i.e.,…
Descriptors: Structural Equation Models, Mediation Theory, Data Analysis, Longitudinal Studies
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Trevor K. M. Day; Arielle Borovsky; Donna Thal; Jed T. Elison – Developmental Science, 2025
The MacArthur-Bates Communicative Development Inventories (CDI) are widely used, parent-report instruments of language acquisition. Here, we focus on the word-inventory sections of the instruments, and show two different approaches to modeling CDI data, based on real-world needs. First, we show that Words & Gestures data collected…
Descriptors: Language Skills, Measures (Individuals), Children, Models
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Mahendra Prasad Pandey – Discover Education, 2025
Comparative education is advancing with a growing emphasis on innovative research methodologies; however, integrating these approaches to address complex global education challenges remains difficult. While traditional qualitative methods are valuable, they often fail to capture the multifaceted nature of today's educational landscape. This review…
Descriptors: Innovation, Research Methodology, Educational Research, Educational Trends
Christopher M. Loan – ProQuest LLC, 2024
Simulations were conducted to establish best practice in hyperparameter optimization and accounting for clustering in Generalized Linear Mixed-Effects Model Trees (GLMM trees). Using data-driven best practices, the relationship between a 9th Grade On-Track to Graduate (9G-OTG) indicator and observed high school graduation within four years was…
Descriptors: Data Analysis, Simulation, Longitudinal Studies, Hierarchical Linear Modeling
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Jean Philippe Décieux; Andreas Heinz – International Journal of Social Research Methodology, 2024
In times of decreasing response rates and survey participation, many 'best-practices' have been developed for increasing survey recruitment. However, most of these have never been adequately and experimentally scrutinized for their efficacy. Therefore, in this research note, we draw on probability-based data of an online panel and experimentally…
Descriptors: Scheduling, Online Surveys, Response Rates (Questionnaires), Communication Strategies
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David Hodgson; Reinie Cordier; Lauren Parsons; Brontë Walter; Fadzai Chikwava; Lynelle Watts; Stian Thoresen; Matthew Martinez; Donna Chung – International Journal of Social Research Methodology, 2024
Managing and analysing large qualitative datasets pose a particular challenge for researchers seeking a consistent and rigorous approach to qualitative data analysis. This paper describes and demonstrates the development and adoption of a matrix tool to guide the qualitative data analysis of a large sample (N = 122) of interview data. The paper…
Descriptors: Research Methodology, Data Analysis, Data Collection, Matrices
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Xiaohui Luo; Yueqin Hu – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Intensive longitudinal data has been widely used to examine reciprocal or causal relations between variables. However, these variables may not be temporally aligned. This study examined the consequences and solutions of the problem of temporal misalignment in intensive longitudinal data based on dynamic structural equation models. First the impact…
Descriptors: Structural Equation Models, Longitudinal Studies, Data Analysis, Causal Models
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Adrienne D. Woods; June L. Jiao; Paul L. Morgan; Orfeu M. Buxton – Infant and Child Development, 2024
In this registered report, we evaluated how sleep is related to school functioning. Using data from the Future of Families and Child Wellbeing Study (N = 3002), we evaluated a series of structural equation models evaluating whether sleep at age 5 has a direct or indirect effect on academic achievement, executive function and classroom behaviour at…
Descriptors: Sleep, Academic Achievement, Executive Function, Data Analysis
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Ha-Joon Chung; Guanglei Hong – Society for Research on Educational Effectiveness, 2024
Context: Prolonged disconnection from school and work represents major setbacks during the transition to adulthood and is a distinct feature of the developmental trajectories of many disadvantaged youths, especially those from a marginalized racial background (Hong and Chung 2022; Shanahan 2000). Differential schooling experiences are hypothesized…
Descriptors: Education Work Relationship, Racism, Disadvantaged, Student School Relationship
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Nathan Jones; Lindsey Kaler; Jessica Markham; Josefina Senese; Marcus A. Winters – Educational Researcher, 2025
Students with and without disabilities may be educated across various service delivery models (SDMs): general education, cotaught, pull-out, and self-contained. Still, evidence for their relative effectiveness at scale remains limited. Using longitudinal administrative data from Indiana, we measured the effect of different SDMs on test scores,…
Descriptors: Students with Disabilities, Teaching Methods, Students, Instructional Effectiveness
Tennessee Higher Education Commission, 2024
The 2024 Articulation and Transfer Report provides an update on the progress made toward full articulation between public institutions in Tennessee. This report uses data from National Student Clearinghouse Student Tracker (NSC), the Tennessee Higher Education Commission's Student Information System (THECSIS), and the Tennessee Board of Regents…
Descriptors: Articulation (Education), Higher Education, Data Analysis, Transfer Rates (College)
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Marcus Kubsch – Journal of Research in Science Teaching, 2024
Energy is a central concept across the sciences and an important goal of science education is to support all students so that they develop a full understanding of the energy concept. However, given the abstract and complex nature of the energy concept, only a few students develop an understanding so that they can use energy ideas to make sense of…
Descriptors: Data Analysis, Grade 6, Grade 7, Grade 8
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Roger Pizarro Milian; Dylan Reynolds; Naleni Jacob; Firrisaa Abdulkarim; Gillian Parekh; Robert Brown; David Walters – Journal of Further and Higher Education, 2024
Post-secondary education (PSE) experienced explosive growth and diversification over the past century, affording students a range of increasingly complex pathways that they can travel to acquire a credential. In various jurisdictions, governments have made significant investments to facilitate student uptake of unconventional transfer pathways…
Descriptors: Postsecondary Education, Salary Wage Differentials, Graduates, Foreign Countries
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Jamie L. Buckmaster; Angela Urick; Timothy G. Ford – Journal of Education for Students Placed at Risk, 2024
Grade retention, the practice of holding a student back in the same grade, has been a controversial topic in the United States for decades. English learners, a growing population in US schools, are consistently identified for grade retention more often than their English-only counterparts. The purpose of this study is to test the impact of grade…
Descriptors: Grade Repetition, English Language Learners, Data Analysis, Urban Schools
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