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Showing 1 to 8 of 8 for “"HGLM"”.
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The Backgrounds and Outcomes of Allopathic Medical School Applicants: Exploring Stratification and Inequality
… the profession. This study utilizes an HLM and HGLM to model the influences of individual and institutional predictors on acceptance to medical school. Full descriptive analysis of individual and institutional predictors are also included.</p>
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Impacts of Ignoring Nested Data Structure in Rasch/IRT Model and Comparison of Different Estimation Methods
… hierarchical generalized linear model (HGLM). Currently, Rasch/IRT models are frequently used in educational and psychometric researches for data obtained from multistage cluster samplings, which are more likely to violate the assumption of independent observations of examinees required …
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Curriculum Track And Its Influences On Predicting High School Dropout Likelihood
… via Hierarchical Generalized Linear Modeling (HGLM) due to the nested data structure of Education Longitudinal Study of 2002 (ELS). Variables included were academic background, academic and career aspiration, school-sponsored activity participation, school minority composition, school average …
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Predictors of Higher Education Participation for Students with a Specific Learning Disability: A Secondary Data Analysis of High School Students in Washington State
… learning disability (SLD). The results of the HGLM multilevel logistic regression indicate that probabilities of higher education participation significantly increase for those students who attend schools with a smaller student-teacher ratio, and who are non-white, female, identify English as …
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Effects of Job Access and Neighborhood disadvantage on Employment Success of Female Former Welfare Recipients
… analysis, Hierarchical Generalized Linear Model (HGLM) and Hierarchical Linear Model (HLM) were conducted to test the nested effects of job access and neighborhood disadvantage on employment success. Furthermore, this study used spatial analysis (mapping and spatial auto-correlation) to support …
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Understanding the High School Dropout Process Through Student Engagement and School Processes: Evidence from the Educational Longitudinal Study of 2002
… Hierarchical generalized linear modeling (HGLM) indicated that emotional engagement was a statistically significant predictor of dropping out of school, whereas, behavioral and cognitive engagement were not significant predictors. An analysis of the dimensions of engagement (i.e., conduct, …
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Impact of Ignoring Nested Data Structures on Ability Estimation
… The first model Rasch model formulated as a HGLM ignores the sample design (incorrect model) while the second incorporates a first-stage sampling unit (correct model). Study findings generally showed that the two models were comparable with respect to desirable statistical properties under a …
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PREDICTORS OF STUDENT REFERRALS TO PROBLEM-SOLVING TEAMS: CHILD STUDY TEAMS AND INSTRUCTIONAL CONSULTATION TEAMS
… hierarchical general linear modeling (HGLM) and the Hierarchical Linear Modeling program (HLM 7.01: Raudenbush et al., 2011), statistically significant effects were found for student sex; Hispanic race/ethnicity; reading, writing, and math achievement; prior ratings of classroom …