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
Models for Evaluating Grade-to-Grade Growth by Robert L. Smith & Wendy M. Yen
Growth Scales and Pathways by William D. Schafer & Jon S. Twing
Modeling Growth in Student Achievement: Psychometric Considerations, Communicating Growth, and Standards-based Application by Harold C. Doran
Measurement of Academic Growth of Individual Students Toward Variable and Meaningful Academic Standards by S. Paul Wright, William L. Sanders, & June C. Rivers
The(Sometimes Harsh) Reality of Longitudinal Student Achievement Modeling by J.R. Lockwood
Issues in the Implementation of Longitudinal Growth Models for Student Achievement by Joseph Stevens & Keith Zvoch
Bayesian Inference for Some Value-added Productivity Indicators by Yeow Meng Thum
Threats to the Validity of Measurement of Achievement Gains by Laura Hamilton, Daniel McCaffrey, &Daniel Koretz
Using Value Tables to Explicitly Value Student Growth by Richard Hill, Brian Gong, Scott Marion, Charles DePascale, Jennifer Dunn, & Mary Ann Simpson
Two Methodological Perspectives on the Development of Mathematical Competencies in Young Children: An Application of Continuous & Categorical Latent Variable Modeling by David Kaplan & Heidi Sweetman
Cross-Grade Scales in NAEP: Research and Real-Life Experience by Catherine A. McClellan, John R. Donoghue, Lydia Gladkova, & Xueli Xu
The hybrid success model:Theory and practice by G. Gage Kingsbury, & Martha S. McCall
IRT Models to Assess Change Across Repeated Measurements by James S. Roberts, & Qianli Ma
NCLB and Growth Models: In Conflict or in Concert? by Susan L. Rigney,&Joseph A. Martineau