2005 MARC Conference
LONGITUDINAL MODELING OF STUDENT ACHIEVEMENT*
November 7 & 8, 2005
Colony Ballroom, Stamp Student Union
Maryland Assessment Research Center for Education Success**
University of Maryland, College Park, Maryland 20742
Registration at 7:30 A.M.
Breakfast at 7:30 A.M.
First Presentation at 8:30 A.M., each day
This conference presents a variety of papers regarding the theory and application of Longitudinal (Growth) Modeling of Student Achievement. It is hoped that this conference will be found to be stimulating to academics, psychometrics personnel, as well as to school practitioners who are concerned with the monitoring of student performance across time and the organization of schools to utilize this information to encourage maximizing student performance across time. Concerns include statistical theory, estimation issues, and a variety of approaches to modeling that has direct application to this school problem. NCLB has emphasized the status of Cross-sectional Cohorts through the analysis of AYP measures. This is one approach to the problem of measuring school performance. This conference is concerned with alternatives that will permit schools to model the performance of individual students with the hope that all students might eventually have their performance maximized as they progress through the school experience. This goal requires the field to develop new ways to measure such progress and new ideas for the use of such measures by the schools. We hope that this conference will contribute to the research base for this topic leading to applications that are more successful.
Presentations
by Robert L. Smith & Wendy M. Yen
by William D. Schafer & Jon S. Twing
by Harold C. Doran
by S. Paul Wright, William L. Sanders, & June C. Rivers
by J.R. Lockwood
by Joseph Stevens & Keith Zvoch
by Yeow Meng Thum
by Laura Hamilton, Daniel McCaffrey, &Daniel Koretz
by Richard Hill, Brian Gong, Scott Marion, Charles DePascale, Jennifer Dunn, & Mary Ann Simpson
by David Kaplan & Heidi Sweetman
by Catherine A. McClellan, John R. Donoghue, Lydia Gladkova, & Xueli Xu
by G. Gage Kingsbury, & Martha S. McCall
by James S. Roberts, & Qianli Ma
by Susan L. Rigney,&Joseph A. Martineau