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Karanam, Saraschandra; van Oostendorp, Herre; Indurkhya, Bipin – Behaviour & Information Technology, 2012
CoLiDeS + Pic is a cognitive model of web-navigation that incorporates semantic information from pictures into CoLiDeS. In our earlier research, we have demonstrated that by incorporating semantic information from pictures, CoLiDeS + Pic can predict the hyperlinks on the shortest path more frequently, and also with greater information scent,…
Descriptors: Semantics, Hypermedia, Semiotics, Visual Stimuli
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Miller, Thomas E.; Tyree, Tracy; Riegler, Keri K.; Herreid, Charlene – College and University, 2010
This article describes the early outcomes of an ongoing project at the University of South Florida in Tampa that involves using a logistics regression formula derived from pre-matriculation characteristics to predict the risk of individual student attrition. In this piece, the authors will describe the results of the prediction formula and the…
Descriptors: Mentors, Student Attrition, Models, Multiple Regression Analysis
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Dusseldorp, Elise; Meulman, Jacqueline J. – Psychometrika, 2004
The regression trunk approach (RTA) is an integration of regression trees and multiple linear regression analysis. In this paper RTA is used to discover treatment covariate interactions, in the regression of one continuous variable on a treatment variable with "multiple" covariates. The performance of RTA is compared to the classical…
Descriptors: Simulation, Psychometrics, Multiple Regression Analysis, Models
Muijs, Daniel – SAGE Publications, 2004
This book looks at quantitative research methods in education. The book is structured to start with chapters on conceptual issues and designing quantitative research studies before going on to data analysis. While each chapter can be studied separately, a better understanding will be reached by reading the book sequentially. This book is intended…
Descriptors: Multivariate Analysis, Multiple Regression Analysis, Correlation, Educational Research
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Timmerman, Thomas A. – Teaching of Psychology, 2000
Provides an in-class activity that enables students in research methods to learn about survey design and multiple regression. Explains that the students developed questionnaires in order to generate five items, as set in a multiple regression equation, that would best predict a particular outcome. Discusses benefits and drawbacks. (CMK)
Descriptors: Comparative Analysis, Course Content, Educational Strategies, Higher Education
Witmer, David R. – 1979
A search for better predictors of incomes of high school and college graduates is described. The accuracy of the prediction, implicit in the work of John R. Walsh of Harvard University, that the income differences in a given year are good indicators of income differences in future years, was tested by applying standard statistical procedures to…
Descriptors: College Graduates, Conference Reports, Economic Status, High School Graduates
Spicer, Scot L. – 1989
In this document, the first of a projected series of reports on ensuring student success, student equity, and rigorous instructional standards, an overview is provided of the steps taken by Glendale Community College (GCC) to refine and improve student placement in the English curriculum. Following introductory material outlining factors…
Descriptors: Academic Standards, College English, Community Colleges, Correlation
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Sharp, Stephen – Educational Studies, 1996
Summarizes an experiment that expanded the types of variables and approaches used in statistical analyses of subject attainment in secondary education. The experiment compared students' grades in a given subject with their expected grades based on performance in other subjects. Considers applications and limitations to this approach. (MJP)
Descriptors: Academic Achievement, Courses, Educational Administration, Educational Research
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Maeshiro, Asatoshi – Journal of Economic Education, 1996
Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)
Descriptors: Causal Models, Correlation, Economics Education, Heuristics