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Betancourt, Laura M.; Avants, Brian; Farah, Martha J.; Brodsky, Nancy L.; Wu, Jue; Ashtari, Manzar; Hurt, Hallam – Developmental Science, 2016
There is increasing interest in both the cumulative and long-term impact of early life adversity on brain structure and function, especially as the brain is both highly vulnerable and highly adaptive during childhood. Relationships between SES and neural development have been shown in children older than age 2 years. Less is known regarding the…
Descriptors: Socioeconomic Status, African Americans, Infants, Neurological Impairments
Bowman Heads, Angela M.; Glover, Angel M.; Castillo, Linda G.; Blozis, Shelley; Kim, Su Yeong – Journal of American College Health, 2018
Objective: To examine ethnic identity and ethnic socialization as potential protective factors for risk behaviors among US college students. Participants: Participants were 398 African American and Afro-Caribbean students recruited from 30 colleges and universities during September 2008-October 2009. Methods: Data on hazardous alcohol use,…
Descriptors: Ethnicity, Substance Abuse, Drug Use, Risk
Låftman, Sara Brolin; Östberg, Viveca; Modin, Bitte – School Effectiveness and School Improvement, 2017
This study investigates associations between aspects of school climate, measured by students' assessments aggregated to the class level, and exposure to bullying, measured at the individual level. The data were derived from the Stockholm School Survey of 2006-2010 with information from 16,418 ninth-grade students (aged 15-16 years) distributed…
Descriptors: Foreign Countries, Educational Environment, Bullying, Grade 9
Booth, Chase R.; Brown, Hannah L.; Eason, Elizabeth G.; Wallot, Sebastian; Kelty-Stephen, Damian G. – Discourse Processes: A multidisciplinary journal, 2018
Reader expectations form across hierarchical scales of discourse (e.g., from coarse to fine: genre, narrative, syntax). Cross-scale interactivity produces word reading times (RTs) with multifractal structure. After introducing multifractals, we test two hypotheses regarding their relevance to reader expectations: (1) multifractal evidence of…
Descriptors: Gender Issues, Expectation, Reading Rate, Hypothesis Testing
Bates, Michael David; Castellano, Katherine E.; Rabe-Hesketh, Sophia; Skrondal, Anders – Journal of Educational and Behavioral Statistics, 2014
This article discusses estimation of multilevel/hierarchical linear models that include cluster-level random intercepts and random slopes. Viewing the models as structural, the random intercepts and slopes represent the effects of omitted cluster-level covariates that may be correlated with included covariates. The resulting correlations between…
Descriptors: Correlation, Hierarchical Linear Modeling, Regression (Statistics), Statistical Bias
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
Heyvaert, Mieke; Moeyaert, Mariola; Verkempynck, Paul; Van den Noortgate, Wim; Vervloet, Marlies; Ugille, Maaike; Onghena, Patrick – Journal of Experimental Education, 2017
This article reports on a Monte Carlo simulation study, evaluating two approaches for testing the intervention effect in replicated randomized AB designs: two-level hierarchical linear modeling (HLM) and using the additive method to combine randomization test "p" values (RTcombiP). Four factors were manipulated: mean intervention effect,…
Descriptors: Monte Carlo Methods, Simulation, Intervention, Replication (Evaluation)
Hamilton, Rashea; McCoach, D. Betsy; Tutwiler, M. Shane; Siegle, Del; Gubbins, E. Jean; Callahan, Carolyn M.; Brodersen, Annalissa V.; Mun, Rachel U. – Gifted Child Quarterly, 2018
Although the relationships between family income and student identification for gifted programming are well documented, less is known about how school and district wealth are related to student identification. To examine the effects of institutional and individual poverty on student identification, we conducted a series of three-level regression…
Descriptors: Academically Gifted, Poverty, Talent Identification, Low Income Students
Bicer, Ali; Capraro, Robert M.; Capraro, Mary M. – International Journal of Mathematical Education in Science and Technology, 2018
The purpose of this paper is to demonstrate Hispanic students' mathematics achievement growth rate in Inclusive science, technology, engineering, and mathematics (STEM) high schools compared to Hispanic students' mathematics achievement growth rate in traditional public schools. Twenty-eight schools, 14 of which were Texas STEM (T-STEM) academies…
Descriptors: Hispanic American Students, STEM Education, Mathematics Achievement, Achievement Gains
Hamilton, Rashea; McCoach, D. Betsy; Tutwiler, M. Shane; Siegle, Del; Gubbins, E. Jean; Callahan, Carolyn M.; Brodersen, Annalissa V.; Mun, Rachel U. – Grantee Submission, 2018
Although the relationships between family income and student identification for gifted programming are well documented, less is known about how school and district wealth are related to student identification. To examine the effects of institutional and individual poverty on student identification, we conducted a series of three-level regression…
Descriptors: Academically Gifted, Disadvantaged Schools, Elementary School Students, Elementary Schools
Curran, Tara M.; Prottas, David J. – Journal of Higher Education Policy and Management, 2017
The study used data provided by 349 professional staff employees from 17 different US higher education institutions to assess aspects of their working conditions that could influence their own work engagement and the work-related behaviours of their colleagues. Relationships among three role stressors (role ambiguity, role conflict and role…
Descriptors: Professional Personnel, Higher Education, Stress Variables, Work Environment
Jin, Ying; Eason, Hershel – Journal of Educational Issues, 2016
The effects of mean ability difference (MAD) and short tests on the performance of various DIF methods have been studied extensively in previous simulation studies. Their effects, however, have not been studied under multilevel data structure. MAD was frequently observed in large-scale cross-country comparison studies where the primary sampling…
Descriptors: Test Bias, Simulation, Hierarchical Linear Modeling, Comparative Analysis
Chiu, Ming Ming – Journal of Learning Analytics, 2018
Learning analysts often consider whether learning processes across time are related (1) to one another or (2) to learning outcomes at higher levels. For example, are a group's temporal sequences of talk (e.g., correct evaluation [right arrow] correct, new idea) during its problem solving related to its group solution? I show how to address these…
Descriptors: Statistical Analysis, Models, Data Analysis, Regression (Statistics)
Lüke, Timo; Grosche, Michael – International Journal of Inclusive Education, 2018
Recently, research has focused on attitudes towards inclusive education, and the majority of studies use questionnaires to measure this vital variable. In two consecutive experiments, we showed that attitudes towards inclusive education are not stable but instead are significantly influenced by social context. We manipulated information on the…
Descriptors: Inclusion, Social Desirability, Foreign Countries, Attitude Measures
Sang, Biao; Pan, Tingting; Deng, Xinmei; Zhao, Xu – Educational Psychology, 2018
Numerous studies have suggested that academic stress has negative impact on adolescents' psychological function, few of those studies, however, considered whether and how the impact of stress on adolescents' emotional states is moderated by corresponding regulation. This study aimed to examine the fluctuation of emotional states before and after…
Descriptors: Sampling, Stress Variables, Self Control, Emotional Response