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Showing 1 to 15 of 37 results Save | Export
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Lorah, Julie – Practical Assessment, Research & Evaluation, 2022
Applied educational researchers may be interested in exploring random slope effects in multilevel models, such as when examining individual growth trajectories with longitudinal data. Random slopes are effects for which the slope of an individual-level coefficient varies depending on group membership, however these effects can be difficult to…
Descriptors: Effect Size, Hierarchical Linear Modeling, Longitudinal Studies, Maximum Likelihood Statistics
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
Choi, Kilchan; Kim, Jinok – Journal of Educational and Behavioral Statistics, 2019
This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…
Descriptors: Regression (Statistics), Hierarchical Linear Modeling, Longitudinal Studies, Cohort Analysis
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Opitz, Elisabeth Moser; Grob, Urs; Wittich, Claudia; Häsel-Weide, Uta; Nührenbörger, Marcus – Learning Disabilities: A Contemporary Journal, 2018
Fostering peer interaction and shared learning is an important aim of inclusive instruction. However, it has not been established whether it is possible to offer explicit and intensive support for low achievers in inclusive settings. This longitudinal study examined whether a structured program that includes cooperative learning fosters…
Descriptors: Inclusion, Longitudinal Studies, Cooperative Learning, Competence
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Mowen, Thomas J.; Manierre, Matthew J. – British Journal of Sociology of Education, 2017
Although delinquency in US schools is near historic lows, concern over delinquency in US schools remains a pressing issue among school officials, parents, and policy-makers. Many scholars argue that the current approach to discipline in the United States is highly punitive. While some projects have assessed the effect of punitive security on…
Descriptors: School Security, Extracurricular Activities, Participation, Hierarchical Linear Modeling
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Kupchik, Aaron; Catlaw, Thomas J. – Youth & Society, 2015
This study uses the National Longitudinal Survey of Adolescent Health data set to evaluate the long-term influence of school discipline and security on political and civic participation. We find that young adults with a history of school suspension are less likely than others to vote and volunteer in civic activities years later, suggesting that…
Descriptors: Suspension, School Security, Citizen Participation, Young Adults
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Walsh, Mary; Raczek, Anastasia; Sibley, Erin; Lee-St. John, Terrence; An, Chen; Akbayin, Bercem; Dearing, Eric; Foley, Claire – Society for Research on Educational Effectiveness, 2015
While randomized experimental designs are the gold standard in education research concerned with causal inference, non-experimental designs are ubiquitous. For researchers who work with non-experimental data and are no less concerned for causal inference, the major problem is potential omitted variable bias. In this presentation, the authors…
Descriptors: Academic Achievement, Quasiexperimental Design, Intervention, Elementary School Students
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Wu, Jiun-Yu; Kwok, Oi-Man; Willson, Victor L. – Journal of Experimental Education, 2014
The authors compared the effects of using the true Multilevel Latent Growth Curve Model (MLGCM) with single-level regular and design-based Latent Growth Curve Models (LGCM) with or without the higher-level predictor on various criterion variables for multilevel longitudinal data. They found that random effect estimates were biased when the…
Descriptors: Longitudinal Studies, Hierarchical Linear Modeling, Prediction, Regression (Statistics)
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Partlo, Margaret; Ampaw, Frim – Journal of Marketing for Higher Education, 2018
Relying heavily on case or regional studies, higher education institutions market the perceived global skills that students acquire from education abroad as a value-added commodity. As industries increase their global reach, understanding the labor market effects of education abroad from a national perspective is necessary and timely. This study…
Descriptors: Undergraduate Students, Higher Education, Regression (Statistics), Business Administration Education
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Allen, Jeff – Applied Measurement in Education, 2017
Using a sample of schools testing annually in grades 9-11 with a vertically linked series of assessments, a latent growth curve model is used to model test scores with student intercepts and slopes nested within school. Missed assessments can occur because of student mobility, student dropout, absenteeism, and other reasons. Missing data…
Descriptors: Achievement Gains, Academic Achievement, Growth Models, Scores
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Pandya, Samta P. – Religious Education, 2018
Based on a one-year longitudinal experimental study with 3,782 kindergarten school children across 15 countries, this article examines the association between prayer and happiness. Results show that the post-test scores on the faces scale were higher for the participant group who had taken the prayer lessons vis-à-vis the comparison group.…
Descriptors: Scores, Cross Cultural Studies, Christianity, Pretests Posttests
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Chambers, Brittany D.; Erausquin, Jennifer Toller – Journal of School Health, 2018
Background: Adolescence is a critical phase of development and experimentation with delinquent behaviors. There is a growing body of literature exploring individual and structural impacts of discrimination on health outcomes and delinquent behaviors. However, there is limited research assessing how school diversity and discrimination impact…
Descriptors: Gender Differences, Racial Differences, Peer Acceptance, Predictor Variables
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Clarke, Paul; Crawford, Claire; Steele, Fiona; Vignoles, Anna – Education Economics, 2015
The use of fixed (FE) and random effects (RE) in two-level hierarchical linear regression is discussed in the context of education research. We compare the robustness of FE models with the modelling flexibility and potential efficiency of those from RE models. We argue that the two should be seen as complementary approaches. We then compare both…
Descriptors: Hierarchical Linear Modeling, Regression (Statistics), Educational Research, Comparative Analysis
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Gadaire, Dana M.; Henrich, Christopher C.; Finn-Stevenson, Matia – Research on Social Work Practice, 2017
Purpose: This study examined normative change in children's levels of social competence and parent-child interactions (PCIs) from kindergarten through second grade as well as relations between levels of PCI and children's social development. Methods: Multiple waves of data were collected from parents and teachers of 379 children ranging in age…
Descriptors: Longitudinal Studies, Parent Child Relationship, Interpersonal Competence, Social Development
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Lowinger, Robert; Song, Hyun-a – Journal of Student Affairs Research and Practice, 2017
This study explored Asian American students' likelihood of selecting STEM over liberal arts or business college majors using the Education Longitudinal Study of 2002. Student-level variables were the strongest predictors of college major, followed by parent-level variables, and background variables. Academic achievement and interest were the…
Descriptors: Asian American Students, STEM Education, Majors (Students), College Choice
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