Search
Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Room
Browse By Unit
Browse By Session Type
Search Tips
Visiting Washington, D.C.
Personal Schedule
Sign In
X (Twitter)
Session Type: Paper Session
In this session, researchers will present four papers that illustrate how data from large-scale datasets alone and in combination may be used to address questions of interest to educators and policy-makers. The papers make use of a variety of analytic tools, including linear and nonlinear regression, multi-group confirmatory factor analysis, and Inverse propensity score weighting. Challenges in using national data when making cross-time comparisons and replicating findings from prior research are addressed. Datasets from the National Center for Education Statistics and other federal agencies are used in these analyses.
The Effect of Dropping Out of High School on Mathematics Ability: A Propensity Score Analysis - Christopher Runyon, The University of Texas - Austin; James Eric Pustejovsky, The University of Texas - Austin; Adam Chaim Sales, The University of Texas - Austin
Student Suspensions and Arrests: The Role of School Security - Jeremy D. Finn, University at Buffalo - SUNY; Timothy J Servoss, Canisius College
School Administrators' Perceived Limitations on Discipline and Crime Policy Implementation - Tracey Nicole Sulak, Baylor University; Kevin Wells, Baylor University; Kari Hodge, NACE International Institute
Replication, Reproducible Research, and Restricted-Use Education Data: Challenges, Opportunities, and an Example - Caren Arbeit, RTI International