417
Tue, 7/30/2019,
2:00 PM -
2:45 PM
CC-Hall C
SPEED: Methodological Developments in Social Statistics, Part 2 — Contributed Poster Presentations
Social Statistics Section , Text Analysis Interest Group
Chair(s): Wendy Meiring, University of California At Santa Barbara
Oral Presentations
for this session.
1:
A Partial Simulation Study of Phantom Effects in Multilevel Analysis of School Effects: The Case of School Socioeconomic Composition
Hao Zhou, University of Kentucky
2:
Predicting Poverty Using Remote Sensing Vegetation Indices
Grace Deng, Cornell University
4:
Presenting Uncertainty in Graphical Format
Nola du Toit, NORC at the University of Chicago ; Edward Mulrow, NORC at the University of Chicago; Christopher du Sousa-Nieves, NORC at the University of Chicago
6:
Framing of Culture War Issues in Congressional Campaign Websites
Jack Wolf, St. Olaf College ; Christopher Chapp, St. Olaf College; My Khe Nguyen, St. Olaf College; Paul Roback, St. Olaf College; Jessica Whittenburg, St. Olaf College
7:
Data-Driven Community Based Programming: a Statistical Analysis of Heart Disease Prevention Initiatives in Oklahoma City-County
Mary Nevener
8:
Confidence Intervals for Marginal Effects and Predictive Margins in Logit Models
Chaitra Nagaraja, Fordham University ; Benjamin Cole, Fordham University
9:
Making Data-Driven Decisions About Serving Homeless Populations Using Machine Learning Tools
Austin Lampros
11:
Measuring Impact of Tax Law Changes on CPS ASEC Tax Model
Bruce Webster, US Census Bureau ; Kathryn Shantz, U.S. Census Bureau
12:
Getting a Clear Picture of Students’ Writing Performance
Ya Mo, Boise State University ; NELL Sedransk, NISS
14:
The Impact of Vocational Rehabilitation Services and Demographic Factors Towards the Successful Employment Outcomes Among Hard-of-Hearing Individuals
Hansapani Rodrigo, University of Texas Rio Grande Valley ; Shawn Saladin, Uniuversity of Texas Rio Grande Valley; Sergio Cuevas, Uniuversity of Texas Rio Grande Valley
15:
Implementing Empirical Results of Panel Models with Lagged Dependent Variables and Random Intercepts into Microsimulation
Dawid Bekalarczyk ; Petra Stein, University of Duisburg-Essen
16:
A Spatial Microsimulation Model of Labor Market Integration in Germany
Monika Obersneider, University of Duisburg-Essen ; Petra Stein, University of Duisburg-Essen
17:
Patterns of Effects and Sensitivity Analysis for Differences-In-Differences
Luke Keele, University of Pennsylvania ; Dylan Small, University of Pennsylvania; Colin B. Fogarty, Massachusetts Institute of Technology
18:
Using Statistical and Machine Learning Methods to Analyze Response Time Data from Computer-Based Educational Assessments
Bingchen Liu, Educational Testing Service
19:
Finding the Strength in a Weak Instrument in a Study of Cognitive Outcomes Produced by Catholic High Schools
Siyu Heng, University of Pennsylvania ; Dylan Small, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
