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Activity Number: 361
Type: Contributed
Date/Time: Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
Sponsor: Survey Research Methods Section
Abstract #317133 View Presentation
Title: Implementing Static Adaptive Design in the National Survey of College Graduates Using the Results of an Incentive Timing Experiment
Author(s): Benjamin Reist and Stephanie Coffey* and Allison Zotti
Companies: U.S. Census Bureau and U.S. Census Bureau and U.S. Census Bureau
Keywords: Adaptive Design ; National Survey of College Graduates ; Incentives
Abstract:

The National Survey of College Graduates (NSCG) allows for static adaptive design, defined by Bethlehem, Cobben and Schouten as "An adaptive design where the strategy allocation depends on linked data only" (2011). In other words, contact strategy tailoring depends only on data known before data collection starts and does not depend on paradata collected during data collection. Functionally, this means making changes to the data collection between survey rounds based on information learned during previous rounds, rather than dynamically during the data collection period. The NSCG combines a survey sponsor open to embedded experiments with continuous monitoring of and learning about the respondent population throughout rounds of data collection. This allows the NSCG to regularly make changes that can improve data collection across various dimensions including: maintaining data quality, increasing timeliness, and controlling costs. In 2013, the National Survey of College Graduates (NSCG) included an incentive timing experiment, which consisted of sending prepaid monetary incentives to influential sample persons at one of four times during the twenty-three week data collection period


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