|
Activity Number:
|
76
- Paradata for Adaptive Survey Designs and Other Applications
|
|
Type:
|
Contributed
|
|
Date/Time:
|
Sunday, July 29, 2018 : 4:00 PM to 5:50 PM
|
|
Sponsor:
|
Government Statistics Section
|
|
Abstract #329060
|
Presentation 1
Presentation 2
|
|
Title:
|
Developing Seamless Tools to Support Metrics for Adaptive Survey Designs
|
|
Author(s):
|
Stephen Cohen* and Imad Lakhal and Zachary H Seeskin and Dean Resnick
|
|
Companies:
|
NORC at the University of Chicago and NORC and NORC at the University of Chicago and NORC
|
|
Keywords:
|
survey sampling;
data collection;
collection metrics;
graphical displays;
R-indicators
|
|
Abstract:
|
NORC has used adaptive survey design (ASD) principles in its survey operations for many years based upon quantitative metrics such as response rates by key characteristics and minimum sample targets. To facilitate use of these metrics and for introducing additional metrics such as R-Indicators, NORC has developed and is enhancing tools to make applications of ASD metrics more efficient at lower costs. SharePoint is used as the interface given its ease of application to survey directors and field staff, with SAS as the tabulation engine underlying the interface. The file set-ups allow access to both the collection and survey databases to provide seamless real-time statistics via the tool. Outputs can be Excel spreadsheets with detailed statistics or graphs that can be used to easily discern trends. Further, R package shiny can be used to allow project teams to dynamically visualize adaptive design-related measures.
|
Authors who are presenting talks have a * after their name.
