- Browse
Search
Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
- Information Menu
Search Tips
Annual Meeting Registraion, Housing and Travel
- Navigation and Settings Menu
Personal Schedule
Sign In
79.046 - Studies Addressing Issues Related to the Modeling of Multiple Membership Data
Tue, April 9, 12:20 to 1:50pm, Fairmont Royal York Hotel, Floor: Mezzanine Level, Nova ScotiaSession Type: Paper Session
Abstract
This session includes a collection of papers that address different issues related to multiple membership data including estimating quadratic three-level models with MM data, prevalence of MM in state data, and impact of ignoring MM data structure.
Sub Unit
Chair
Papers
Prevalence of Multiple Membership in a Statewide Longitudinal Data System - Angela K. Henneberger, University of Maryland; Yi Feng, University of Maryland - College Park; Tessa Johnson, University of Maryland - College Park; Yating Zheng, University of Maryland - College Park; Bess A. Rose, University of Maryland; Laura M. Stapleton, University of Maryland
The Effect of Correlated Clusters on Parameter Estimates in Multiple Membership Models - Yi Feng, University of Maryland - College Park; Tessa Johnson, University of Maryland - College Park; Laura M. Stapleton, University of Maryland; Yating Zheng, University of Maryland - College Park
Estimating a Three-Level Quadratic Cross-Classified Multiple-Membership Growth Curve Model With Cross-Classified Multiple-Membership Data - Hyewon Chung, Chungnam National University; Jiseon Kim; Ryoungsun Park, SiFive; Hyeonjeong Jeon, Korean Educational Development Institute; Soyoung Park, Chungnam National University
The Impacts of Ignoring Multiple-Membership Data Structures in Estimating a Piecewise Growth Model - Audrey J. Leroux, Georgia State University; Christopher Cappelli, Georgia Institute of Technology; David R J Fikis, Georgia State University