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Konold, Timothy R.; Sanders, Elizabeth – Practical Assessment, Research & Evaluation, 2022
The present study represents a novel method not yet used in the quantitative intersectionality literature -- the CT-C(M-1) model (Eid et al., 2003) -- for measuring and understanding the similarities and uniquenesses among intersectional subgroups. Intersectionality is a conceptual framework from which to investigate and remedy the ways in which…
Descriptors: Intersectionality, Models, Educational Environment, Power Structure
Foster, Stephanie L.; Usher, Bethany M. – Scholarship and Practice of Undergraduate Research, 2018
This article discusses George Mason University's locally developed assessment survey instrument, the OSCAR Student Survey, in which students self-report on learning outcomes, attitudes, goals, personal and professional growth, and satisfaction items. Development of the instrument is discussed, as well as the methods used to achieve construct…
Descriptors: Comparative Analysis, Models, Undergraduate Students, Student Research
Belfield, Clive; Bailey, Thomas – Center for Analysis of Postsecondary Education and Employment, 2017
Recently, studies have adopted fixed effects modeling to identify the returns to college. This method has the advantage over ordinary least squares estimates in that unobservable, individual-level characteristics that may bias the estimated returns are differenced out. But the method requires extensive longitudinal data and involves complex…
Descriptors: Associate Degrees, Outcomes of Education, Education Work Relationship, Robustness (Statistics)
Fouh, Eric; Farghally, Mohammed; Hamouda, Sally; Koh, Kyu Han; Shaffer, Clifford A. – International Educational Data Mining Society, 2016
We present an analysis of log data from a semester's use of the OpenDSA eTextbook system with the goal of determining the most difficult course topics in a data structures course. While experienced instructors can identify which topics students most struggle with, this often comes only after much time and effort, and does not provide real-time…
Descriptors: Item Response Theory, Data Analysis, Mathematics, Intelligent Tutoring Systems
Gardner, Alexa Fraley; Jones, Brett D. – Electronic Journal of Research in Educational Psychology, 2016
Because of the success of the Reggio Emilia Approach in early childhood education, it could be useful to researchers and practitioners to identify and explicate components of the approach that make it effective in motivating students. In this paper, we examine the Reggio Emilia Approach through the lens of the MUSIC® Model of Motivation, a model…
Descriptors: Reggio Emilia Approach, Student Motivation, Models, Motivation Techniques
Green, Jeffrey J.; Stone, Courtenay Clifford; Zegeye, Abera – Journal of Education for Business, 2014
Colleges and universities are being asked by numerous sources to provide assurance of learning assessments of their students and programs. Colleges of business have responded by using a plethora of assessment tools, including the Major Field Test in Business. In this article, the authors show that the use of the Major Field Test in Business for…
Descriptors: Business Administration Education, Student Evaluation, Accreditation (Institutions), Comparative Analysis
Jackman, Danielle M.; MacPhee, David – Journal of Early Adolescence, 2017
This study's purpose was to examine the relations among future orientation, self-esteem, and later adolescent risk behaviors, and to compare two mediational models involving self-esteem versus future orientation as mediators. An ethnically diverse sample of 12- to 14-year-olds (N = 862, 54% female, 53% ethnic minority) was assessed longitudinally.…
Descriptors: Self Esteem, Risk, Prediction, Correlation
Katsioloudis, Petros J.; Jovanovic, Vukica – Engineering Design Graphics Journal, 2014
A quasi experimental study was done to determine significant positive effects among three different types of visual models and to identify whether any individual type or combination contributed towards a positive increase of spatial visualization ability for students in engineering technology courses. In particular, the study compared the use of…
Descriptors: Engineering Education, Drafting, Spatial Ability, Visualization
Katsioloudis, Petros; Jovanovic, Vukica; Jones, Mildred – Journal of Technology Education, 2014
The main purpose of this study was to determine significant positive effects among the use of three different types of drafting models, and to identify whether any differences exist towards promotion of spatial visualization ability for students in Industrial Technology and Technology Education courses. In particular, the study compared the use of…
Descriptors: Models, Spatial Ability, Visualization, Industrial Education
Huang, Francis L.; Cornell, Dewey G. – Journal of School Violence, 2012
School violence research is often concerned with infrequently occurring events such as counts of the number of bullying incidents or fights a student may experience. Analyzing count data using ordinary least squares regression may produce improbable predicted values, and as a result of regression assumption violations, result in higher Type I…
Descriptors: Violence, Bullying, Least Squares Statistics, Victims
Anderson, Sara; Leventhal, Tama; Dupéré, Véronique – Applied Developmental Science, 2014
Evidence points to associations between the socioeconomic composition of neighborhoods and children's and adolescents' development. A minimal amount of research, however, examines how timing of exposure to neighborhood socioeconomic conditions matters. This study used longitudinal data from the NICHD Study of Early Child Care and Youth Development…
Descriptors: Neighborhoods, Advantaged, Reading Achievement, Academic Achievement
Lubke, Gitta; Tueller, Stephen – Structural Equation Modeling: A Multidisciplinary Journal, 2010
Taxometric procedures such as MAXEIG and factor mixture modeling (FMM) are used in latent class clustering, but they have very different sets of strengths and weaknesses. Taxometric procedures, popular in psychiatric and psychopathology applications, do not rely on distributional assumptions. Their sole purpose is to detect the presence of latent…
Descriptors: Classification, Models, Statistical Analysis, Comparative Analysis
Tillman, Daniel; An, Song; Boren, Rachel; Slykhuis, David – Journal of Computers in Mathematics and Science Teaching, 2014
This study assessed the impact of nine lessons incorporating a NASA-themed transmedia book featuring digital fabrication activities on 5th-grade students (n = 29) recognized as advanced in mathematics based on their academic record. Data collected included a pretest and posttest of science content questions taken from released Virginia Standards…
Descriptors: Elementary School Students, Elementary School Science, Science Instruction, Satellites (Aerospace)
State Council of Higher Education for Virginia, 2010
The 2010 Acts of the Assembly, Chapter 874, directs the State Council of Higher Education for Virginia (SCHEV) to conduct a study on state financial aid. In support of this directive, SCHEV conducted a series of meetings with representatives from each public four-year college or university, Richard Bland College, and representatives from the…
Descriptors: State Aid, Student Financial Aid, Educational Finance, Educational Research
Nagle, Katherine; Pratt-Williams, Jaunelle; Schmidt, Rebecca; Swantek, Cara; Lyulchenko, Marianna; McGhee, Raymond – Grantee Submission, 2016
This is the final external evaluation report prepared by SRI International for the Rural Math Excel Partnership (RMEP) project, an investing in innovation (i3) development project funded by the U.S. Department of Education. Operated by Virginia Advanced Study Strategies, Inc. (VASS), the RMEP project included six rural school districts (LEAs) in…
Descriptors: Rural Schools, Mathematics Education, Family Involvement, Mathematics Teachers
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