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Maestas, Gary E. – ProQuest LLC, 2010
The problem investigated in this research study relates to the referral rate for special education evaluations between students of teachers who were exposed to the professional development and resources associated with the federally funded Reading First program and students of teachers who were not exposed to the program. The purpose of this study…
Descriptors: Research Design, Lunch Programs, Program Effectiveness, Multivariate Analysis
Tutty, Jeremy I.; Alfieri, Michele – Journal on School Educational Technology, 2009
The task of preparing teachers to use technology in the classroom now extends beyond the walls of the university and into the classrooms of in-service teachers, as many states require technology competency for maintaining teaching credentials. In order to meet these needs, colleges and universities must seek alternative, but efficient modes for…
Descriptors: Technology Uses in Education, Educational Technology, Blended Learning, Technological Literacy
Schultz, Donald Glen – ProQuest LLC, 2009
Program evaluation is an essential part of the ongoing success of any organization. Program evaluations can be done for entire organizations or for any entity within that organization. Christian university athletic programs need to be evaluated frequently to assess whether the organization is fulfilling its goals and objectives. This study…
Descriptors: Campuses, Athletics, Program Evaluation, Females
Vansteenkiste, Maarten; Sierens, Eline; Soenens, Bart; Luyckx, Koen; Lens, Willy – Journal of Educational Psychology, 2009
The present research complements extant variable-centered research that focused on the dimensions of autonomous and controlled motivation through adoption of a person-centered approach for identifying motivational profiles. Both in high school students (Study 1) and college students (Study 2), a cluster analysis revealed 4 motivational profiles: a…
Descriptors: Student Motivation, Multivariate Analysis, Profiles, High School Students
Zientek, Linda Reichwein; Thompson, Bruce – Educational Researcher, 2009
Correlation matrices and standard deviations are the building blocks of many of the commonly conducted analyses in published research, and AERA and APA reporting standards recommend their inclusion when reporting research results. The authors argue that the inclusion of correlation/covariance matrices, standard deviations, and means can enhance…
Descriptors: Effect Size, Correlation, Researchers, Multivariate Analysis
AL-Sarrani, Nauaf – ProQuest LLC, 2010
The purpose of this study was to obtain Science faculty concerns and professional development needs to adopt blended learning in their teaching at Taibah University. To answer these two research questions the survey instrument was designed to collect quantitative and qualitative data from close-ended and open-ended questions. The participants'…
Descriptors: Blended Learning, Technical Support, Academic Rank (Professional), Women Faculty
Spanjers, Deanna M.; Burns, Matthew K.; Wagner, Angela R. – Assessment for Effective Intervention, 2008
This study examines the relationship between systematic direct observation (SDO) of time on task (TOT) and student engagement as measured by a self-report task-specific measure. The research questions guiding the study are (a) what is the relationship between SDO of TOT and a self-report measure of student effort, and (b) what is the relationship…
Descriptors: Reading Comprehension, Observation, Time on Task, Grade 4
Springuel, R. Padraic; Wittman, Michael C.; Thompson, John R. – Physical Review Special Topics - Physics Education Research, 2007
We use clustering, an analysis method not presently common to the physics education research community, to group and characterize student responses to written questions about two-dimensional kinematics. Previously, clustering has been used to analyze multiple-choice data; we analyze free-response data that includes both sketches of vectors and…
Descriptors: Physics, Statistical Analysis, Multivariate Analysis, College Students
Marsh, Herbert W.; Ludtke, Oliver; Trautwein, Ulrich; Morin, Alexandre J. S. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
In this investigation, we used a classic latent profile analysis (LPA), a person-centered approach, to identify groups of students who had similar profiles for multiple dimensions of academic self-concept (ASC) and related these LPA groups to a diverse set of correlates. Consistent with a priori predictions, we identified 5 LPA groups representing…
Descriptors: Structural Equation Models, Goodness of Fit, Profiles, Prediction
Burbridge, Lynn C. – Journal of Education Finance, 2008
This article examines adequacy-based education reform, beginning with the reforms undertaken in Kentucky, but then expanding out to the rest of the states to obtain a fuller picture and to conduct a study more amenable to statistical analysis. National Assessment of Educational Progress (NAEP) data were used as part of the analysis, with a focus…
Descriptors: Poverty, Mathematics Achievement, Mathematics Tests, National Competency Tests
Shim, J. P.; Guo, Chengqi – Decision Sciences Journal of Innovative Education, 2009
Ever since Weblog emerged as an infusive online communication tool over the last decade, its impacts have been witnessed by the Internet society at large. Meanwhile, more and more universities and colleges are offering online classes enhanced by Web technology. In this article, we investigate the role of Weblog combined with face-to-face lectures…
Descriptors: Educational Technology, Web Sites, Electronic Publishing, Internet
Peer reviewedWeinberg, Sharon L.; Darlington, Richard B. – Journal of Educational Statistics, 1976
Problems of sampling error and accumulated rounding error in canonical variate analysis are discussed. A new technique is presented which appears to be superior to canonical variate analysis when the ratio of variables to sampling units is greater than one to ten. Examples are presented. (Author/JKS)
Descriptors: Correlation, Matrices, Multivariate Analysis, Sampling
Amershi, Saleema; Conati, Cristina – Journal of Educational Data Mining, 2009
In this paper, we present a data-based user modeling framework that uses both unsupervised and supervised classification to build student models for exploratory learning environments. We apply the framework to build student models for two different learning environments and using two different data sources (logged interface and eye-tracking data).…
Descriptors: Supervision, Classification, Models, Educational Environment
Gravani, M. N.; Hadjileontiadou, S. J.; Nikolaidou, G. N.; Hadjileontiadis, L. J. – Learning and Instruction, 2007
Studies have suggested that professional learning is influenced by two key parameters, i.e., climate and planning, and their associated variables (mutual respect, collaboration, mutual trust, supportiveness, openness). In this paper, we applied analysis of the relationships between the proposed quantitative, fuzzy logic-based model and a series of…
Descriptors: Foreign Countries, Faculty Development, Logical Thinking, Models
Mestry, Raj; Hendricks, Ilona; Bisschoff, Tom – South African Journal of Education, 2009
Evidence in literature indicates that Continuing Professional Development (CPD) of teachers is essential in creating effective schools. Since 2001 the implementation of education legislation and policies has progressively shifted the new agenda within a transformation framework aimed at reconstructing the education system to the fore. The many…
Descriptors: Foreign Countries, Teacher Attitudes, Educational Benefits, Teacher Education Programs

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