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Smith, William C.; Fraser, Pablo; Chykina, Volha; Ikoma, Sakiko; Levitan, Joseph; Liu, Jing; Mahfouz, Julia – Globalisation, Societies and Education, 2017
As national borders dissipate and technology allows different cultures and nationalities to communicate on a regular basis, more individuals are self-identifying as a global citizen. Using Social Network Analysis and multi-level modelling, this study explores factors associated with global citizen affinity and finds that education plays an…
Descriptors: Global Approach, Citizenship, Network Analysis, Social Networks
Buckley, Pamela; Moore, Brooke; Boardman, Alison G.; Arya, Diana J.; Maul, Andrew – American Educational Research Journal, 2017
K-12 intervention studies often include fidelity of implementation (FOI) as a mediating variable, though most do not report the validity of fidelity measures. This article discusses the critical need for validated FOI scales. To illustrate our point, we describe the development and validation of the Implementation Validity Checklist (IVC-R), an…
Descriptors: Intervention, Fidelity, Program Implementation, Test Validity
Elleman, Amy M.; Olinghouse, Natalie G.; Gilbert, Jennifer K.; Spencer, Jane Lawrence; Compton, Donald L. – Elementary School Journal, 2017
This study compared the effects of 2 strategy-based comprehension treatments intended to promote vocabulary and content knowledge for elementary students at risk for developing reading difficulties (N = 105) with a traditional content approach. The study examined the effectiveness of strategy versus nonstrategy instruction on reading…
Descriptors: Reading Strategies, Reading Comprehension, Vocabulary, Knowledge Level
Syed, Javaid A. – ProQuest LLC, 2017
The purpose of the present study was to test the Emotional Stability dimension of the Big Five factors of personality traits theory to predict or explain a relationship with Employee Organizational Commitment, when the relationship between Emotional Stability (ES) and Employee Organizational Commitment (EOC) was moderated by Gender and AgeGroup.…
Descriptors: Information Technology, Multiple Regression Analysis, Personality Traits, Prediction
Sevgili, Fatma; Cesur, Sevim – Educational Sciences: Theory and Practice, 2014
The main aim of this study is to investigate the relationship between values and consumption, and to adduce the mediating roles of materialism in this association. Values have been investigated through Schwartz's main value dimensions in his Theory of Human Values: Self-Enhancement, Self-Transcendence, Openness to Change and Conservation. Through…
Descriptors: Values, Consumer Economics, Adults, Surveys
Kelley, Martha J.; Salisbury-Glennon, Jill D. – Innovative Higher Education, 2016
Doctoral student enrollment and study require significant resources such as faculty time, student time, and funding. However, doctoral student attrition is a serious problem nationwide, especially at the dissertation level. When doctoral students do not complete their dissertations, their potential contributions to society are substantially…
Descriptors: Graduate Students, Student Attrition, Doctoral Dissertations, Independent Study
Stroet, Kim; Opdenakker, Marie-Christine; Minnaert, Alexander – Educational Psychology, 2016
Over the past decades, many schools have adapted towards social constructivism with the aim of enhancing students' motivation. There are a variety of perspectives in educational theory, with social constructivist views standing in contrast to traditional views. Hence, we compared students' motivation (levels and developments) in social…
Descriptors: Middle School Students, Grade 7, Early Adolescents, Student Motivation
Marsh, Herbert W. – Journal of Educational Psychology, 2016
Given that the Big-Fish-Little-Pond-Effect, the negative effect of school-average achievement on academic self-concept, is one of the most robust findings in educational psychology (Marsh, Seaton et al., 2007), this research extends the theoretical model, based on social comparison theory, to study relative year in school effects (e.g., being 1…
Descriptors: Cross Cultural Studies, Acceleration (Education), Grade Repetition, Self Concept
Huang, Francis L.; Cornell, Dewey G. – Journal of Psychoeducational Assessment, 2016
Advances in multilevel modeling techniques now make it possible to investigate the psychometric properties of instruments using clustered data. Factor models that overlook the clustering effect can lead to underestimated standard errors, incorrect parameter estimates, and model fit indices. In addition, factor structures may differ depending on…
Descriptors: Hierarchical Linear Modeling, Factor Analysis, Factor Structure, Measures (Individuals)
Moreno, Mario; Harwell, Michael; Guzey, S. Selcen; Phillips, Alison; Moore, Tamara J. – School Science and Mathematics, 2016
Hierarchical linear models have become a familiar method for accounting for a hierarchical data structure in studies of science and mathematics achievement. This paper illustrates the use of cross-classified random effects models (CCREMs), which are likely less familiar. The defining characteristic of CCREMs is a hierarchical data structure…
Descriptors: Mathematics Achievement, Mathematics Instruction, Hierarchical Linear Modeling, Mathematics Curriculum
Codding, Robin S.; VanDerHeyden, Amanda M.; Martin, Ryan J.; Desai, Sheila; Allard, Noelle; Perrault, Leigh – Learning Disabilities Research & Practice, 2016
Treatment dose is an understudied aspect of treatment effectiveness. This study compared the frequency with which a small-group mathematics intervention was delivered weekly (i.e., four times, twice, once) with a control condition while controlling for total duration. 101 at-risk students in grades 2-4 were randomly assigned to a condition…
Descriptors: Drug Therapy, Numbers, Comparative Analysis, At Risk Students
Konstantopoulos, Spyros; Miller, Shazia R.; van der Ploeg, Arie; Li, Wei – Journal of Research on Educational Effectiveness, 2016
We use data from a large-scale, school-level randomized experiment conducted in 2010-2011 in public schools in Indiana. Our sample includes more than 30,000 students in 70 schools. We examine the impact of two interim assessment programs (i.e., mCLASS in Grades K-2 and Acuity in Grades 3--8) on mathematics and reading achievement. Two-level models…
Descriptors: Academic Achievement, Hierarchical Linear Modeling, Public Schools, Mathematics Achievement
Garibay, Juan C.; Herrera, Felisha A.; Johnston-Guerrero, Marc P.; Garcia, Gina A. – Research in Higher Education, 2016
Providing undocumented immigrants access to public education remains a pertinent issue facing both institutions of higher education and state governments. While instate resident tuition (ISRT) has remained a contentious policy, little is known about how such policies, as well as other state contexts, influence college students' attitudes toward…
Descriptors: College Students, Student Attitudes, Access to Education, Public Education
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
Park, Jungkyu; Yu, Hsiu-Ting – Educational and Psychological Measurement, 2016
The multilevel latent class model (MLCM) is a multilevel extension of a latent class model (LCM) that is used to analyze nested structure data structure. The nonparametric version of an MLCM assumes a discrete latent variable at a higher-level nesting structure to account for the dependency among observations nested within a higher-level unit. In…
Descriptors: Hierarchical Linear Modeling, Nonparametric Statistics, Data Analysis, Simulation