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Mingya Huang; David Kaplan – Journal of Educational and Behavioral Statistics, 2025
The issue of model uncertainty has been gaining interest in education and the social sciences community over the years, and the dominant methods for handling model uncertainty are based on Bayesian inference, particularly, Bayesian model averaging. However, Bayesian model averaging assumes that the true data-generating model is within the…
Descriptors: Bayesian Statistics, Hierarchical Linear Modeling, Statistical Inference, Predictor Variables
French, Robert; Sariaslan, Amir; Larsson, Henrik; Kneale, Dylan; Leckie, George – Journal of Research on Educational Effectiveness, 2023
While the family is a critical determinant of educational achievement, methodological difficulties and the availability of data limit estimation of the family contribution in school effectiveness models. This study uses multilevel modeling to estimate the proportion of variation in student educational achievement between families, family-level…
Descriptors: Academic Achievement, Family Characteristics, Siblings, Family Structure
McAvinue, Laura P. – Irish Educational Studies, 2022
Educational disadvantage is a multilevel and multifactorial phenomenon, with a myriad of contributing factors having been identified within the social contexts inhabited by the student from a lower socioeconomic status (SES) background. Irish research has accumulated a comprehensive body of empirical evidence on the factors operating within…
Descriptors: Educationally Disadvantaged, Social Environment, Neighborhoods, Socioeconomic Status
Liu, Yixing; Levy, Roy; Yel, Nedim; Schulte, Ann C. – School Effectiveness and School Improvement, 2023
Although there is recognition that there may be differential outcomes for groups of students within schools, examination of outcomes for subgroups presents challenges to researchers and policymakers. It complicates analytic procedures, particularly when the number of students per school in the subgroup is small. We explored five alternatives for…
Descriptors: Growth Models, Hierarchical Linear Modeling, School Effectiveness, Academic Achievement
F. Sehkar Fayda-Kinik; Munevver Cetin – Journal of Computer Assisted Learning, 2025
Background: The unprecedented access to information in the 21st century entails a deep understanding of information and communication technology (ICT)-related factors in education and their impacts on learning and teaching. The role of attitudes towards ICT is a proven factor in student achievement. However, there is no consensus about the…
Descriptors: Information Technology, Technology Uses in Education, Academic Achievement, Secondary Education
Wang, Xi; Dai, Minhao; Mathis, Robin – International Journal of STEM Education, 2022
Background: Given the relatively low graduation and retention rate in undergraduate engineering programs in the United States, the factors that influence student success outcomes need to be examined. However, limited research systematically studied both student- and school-level factors and how they influenced undergraduate engineering student…
Descriptors: Student Characteristics, Institutional Characteristics, Influences, Engineering Education
Salloum, Serena J. – American Journal of Education, 2022
Purpose: Collective efficacy (CE)--a group's belief in its capabilities to organize and execute courses of action required to reach a goal--is an important organizational property because it facilitates goal attainment. The purpose of this sequential explanatory mixed-methods study was: (1) to affirm the link between CE and student achievement;…
Descriptors: Self Efficacy, Social Environment, Influences, Academic Achievement
García-Jiménez, Jesús; Torres-Gordillo, Juan-Jesús; Rodríguez-Santero, Javier – Education Sciences, 2022
School effectiveness is a topic of interest addressed by numerous research projects focused on clarifying which variables contribute to the explanation of educational performance. This research aims to find out to what extent social, cultural, and academic variables at the student and school levels, as perceived by families, influence performance,…
Descriptors: School Effectiveness, Predictor Variables, Identification, Hierarchical Linear Modeling
Sun, Xiaojing; Hendrickx, Marloes M. H. G.; Goetz, Thomas; Wubbels, Theo; Mainhard, Tim – Journal of Experimental Education, 2022
In line with assumptions made by the control-value theory of academic emotions, it was hypothesized that the association between the classroom social environment, in terms of students' perceptions of their teachers' interpersonal behaviour, and students' academic emotions was partially mediated by students' achievement goals. The present study…
Descriptors: Classroom Environment, Psychological Patterns, Academic Achievement, Student Attitudes
Neba Afanwi Nfonsang – ProQuest LLC, 2022
This study used a propensity score approach to estimate treatment effects in a multilevel setting. The propensity score approach involves the estimation of propensity scores for covariate balancing and the estimation of treatment effects. This study aimed at understanding how propensity scores estimated through a simple logistic regression compare…
Descriptors: Hierarchical Linear Modeling, Scores, High School Students, Grade 10
Forrow, Lauren; Starling, Jennifer; Gill, Brian – Regional Educational Laboratory Mid-Atlantic, 2023
The Every Student Succeeds Act requires states to identify schools with low-performing student subgroups for Targeted Support and Improvement or Additional Targeted Support and Improvement. Random differences between students' true abilities and their test scores, also called measurement error, reduce the statistical reliability of the performance…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Regional Educational Laboratory Mid-Atlantic, 2023
This Snapshot highlights key findings from a study that used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI) or Additional Targeted Support and Improvement (ATSI). The…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Regional Educational Laboratory Mid-Atlantic, 2023
The "Stabilizing Subgroup Proficiency Results to Improve the Identification of Low-Performing Schools" study used Bayesian stabilization to improve the reliability (long-term stability) of subgroup proficiency measures that the Pennsylvania Department of Education (PDE) uses to identify schools for Targeted Support and Improvement (TSI)…
Descriptors: At Risk Students, Low Achievement, Error of Measurement, Measurement Techniques
Cook, Michael; Ross, Steven M. – Center for Research and Reform in Education, 2022
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction that met Curriculum Associates' recommended usage levels on ELA achievement, as measured by the Massachusetts Comprehensive Assessment System (MCAS) ELA assessment. This study compared the ELA achievement growth in the 2020-21 school year of students who…
Descriptors: English, Language Arts, Computer Assisted Instruction, Computer Assisted Testing

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