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Enders, Craig K.; Du, Han; Keller, Brian T. – Grantee Submission, 2019
Despite the broad appeal of missing data handling approaches that assume a missing at random (MAR) mechanism (e.g., multiple imputation and maximum likelihood estimation), some very common analysis models in the behavioral science literature are known to cause bias-inducing problems for these approaches. Regression models with incomplete…
Descriptors: Hierarchical Linear Modeling, Regression (Statistics), Predictor Variables, Bayesian Statistics
Yongyun Shin; Stephen W. Raudenbush – Grantee Submission, 2023
We consider two-level models where a continuous response R and continuous covariates C are assumed missing at random. Inferences based on maximum likelihood or Bayes are routinely made by estimating their joint normal distribution from observed data R[subscript obs] and C[subscript obs]. However, if the model for R given C includes random…
Descriptors: Maximum Likelihood Statistics, Hierarchical Linear Modeling, Error of Measurement, Statistical Distributions
Peralta, Yadira; Moreno, Mario; Harwell, Michael; Guzey, S. Selcen; Moore, Tamara J. – Educational Research Quarterly, 2018
Variance heterogeneity is a common feature of educational data when treatment differences expressed through means are present, and often reflects a treatment by subject interaction with respect to an outcome variable. Identifying variables that account for this interaction can enhance understanding of whom a treatment does and does not benefit in…
Descriptors: Educational Research, Hierarchical Linear Modeling, Engineering, Design
Sebastian, James; Camburn, Eric M.; Spillane, James P. – Educational Administration Quarterly, 2018
Purpose: The purpose of this study was to examine how school principals in urban settings distributed their time working on critical school functions. We also examined who principals worked with and how their time allocation patterns varied by school contextual characteristics. Research Method/Approach: The study was conducted in an urban school…
Descriptors: Principals, Elementary Schools, Urban Schools, Time Management
Mouratidis, A.; Michou, A.; Aelterman, N.; Haerens, L.; Vansteenkiste, M. – Educational Psychology, 2018
In this prospective study, we recruited a sample of Belgian adolescents (N = 886) to investigate to what extent perceived teachers' motivating style relates to quality of motivation in the beginning of the school year and, in turn, changes in study effort and procrastination by the end of the school year. After controlling for initial levels of…
Descriptors: Personal Autonomy, Time Management, Adolescents, Student Motivation
García Torres, Darlene – Journal of Educational Administration, 2018
Purpose: Singapore is a country with low teacher attrition rates and high performance on international assessments (TIMSS 2011/2015 and PISA 2012/2015). Consequently, its education system is often considered as a model for other nations. The purpose of this paper is to extend research on teacher job satisfaction in Singapore and provide…
Descriptors: Foreign Countries, Job Satisfaction, Teacher Attitudes, Participative Decision Making
Gregory, Chris; Miyazaki, Yasuo – Journal of Educational Research, 2018
Compositional effects of scholarly culture classroom/school climate on civic knowledge scores of 9th graders in the United States were examined using the International Association for the Evaluation of Educational Achievement (IEA) 1999 Civic Education Study data. Following Evans et al. (2010, 2014), we conceived that the number of books at home,…
Descriptors: Hierarchical Linear Modeling, Educational Policy, Educational Environment, Scores
Konishi, Chiaki; Miyazaki, Yasuo; Hymel, Shelley; Waterhouse, Terry – School Psychology International, 2017
This study examined how student reports of bullying were related to different dimensions of school climate, at both the school and the student levels, using a contextual effects model in a two-level multilevel modeling framework. Participants included 48,874 secondary students (grades 8 to 12; 24,244 girls) from 76 schools in Western Canada.…
Descriptors: Bullying, Educational Environment, Secondary School Students, Foreign Countries
Tendhar, Chosang; Paretti, Marie C.; Jones, Brett D. – American Journal of Engineering Education, 2017
This study had three purposes and four hypotheses were tested. Three purposes: (1) To use hierarchical linear modeling (HLM) to investigate whether students' perceptions of their engineering career intentions changed over time; (2) To use HLM to test the effects of gender, engineering identification (the degree to which an individual values a…
Descriptors: Gender Differences, Engineering, Engineering Education, Identification (Psychology)
Parker, Elizabeth M.; Debnam, Katrina; Pas, Elise T.; Bradshaw, Catherine P. – Health Education & Behavior, 2016
Background: Adolescence is a developmental period when dating behavior is first initiated and when the risk of abuse by or against a dating partner begins to emerge. It is also one in which experimentation with alcohol and illicit substances typically begins. The current study examined the association between recent alcohol use and recent…
Descriptors: Correlation, Marijuana, Drinking, High School Students
Harding, Lora Mitchell – Journal of Marketing Education, 2018
Group-based teaching and learning is ubiquitous across undergraduate and graduate business curricula, and with any type of group work, free-riding--a form of social loafing in which free-riding group members reap the rewards of nonloafing members without exerting comparable effort--is a concern. This research examines a group assignment method,…
Descriptors: Outcomes of Education, Group Activities, Assignments, Cooperative Learning
Austin, Bruce; French, Brian; Adesope, Olusola; Gotch, Chad – Journal of Experimental Education, 2017
Measures of variability are successfully used in predictive modeling in research areas outside of education. This study examined how standard deviations can be used to address research questions not easily addressed using traditional measures such as group means based on index variables. Student survey data were obtained from the Organisation for…
Descriptors: Predictor Variables, Models, Predictive Measurement, Statistical Analysis
Lundberg, Carol A.; Kim, Young K.; Andrade, Luis M.; Bahner, Daniel T. – Journal of College Student Development, 2018
In this study we investigated the extent to which faculty interaction contributed to Latina/o student perceptions of their learning, using a sample of 10,071 Latina/o students who took the Community College Survey of Student Engagement. Findings were disaggregated for men and women, but results were quite similar between the 2 groups. Frequent…
Descriptors: Hispanic American Students, Two Year College Students, Learner Engagement, Community Colleges
Martin, Andrew J.; Lazendic, Goran – Journal of Educational Psychology, 2018
With the rise of large-scale academic assessment programs around the world, there is a need to better understand the factors predicting students' achievement in these assessment exercises. This investigation into national numeracy assessment drew on ecological and transactional conceptualizing involving student, student/home, and school factors.…
Descriptors: Numeracy, Mathematics Tests, National Competency Tests, Predictor Variables
Busch, Tobias; Vanpoucke, Filiep; van Wieringen, Astrid – Journal of Speech, Language, and Hearing Research, 2017
Purpose: We describe the natural auditory environment of people with cochlear implants (CIs), how it changes across the life span, and how it varies between individuals. Method: We performed a retrospective cross-sectional analysis of Cochlear Nucleus 6 CI sound-processor data logs. The logs were obtained from 1,501 people with CIs (ages 0-96…
Descriptors: Auditory Stimuli, Assistive Technology, Life Cycle Costing, Individual Differences