The Center for Panel Survey Sciences is dedicated to researching and developing best practices in probability-based panel surveys. The innovative methods we explore include:
- Constructing appropriate sample frames
- Sampling potential panelists
- Providing tailored design strategies to enlist panelists at the highest recruitment rates
- Empaneling effectively after recruitment
- Retaining panelists
- Maintaining high levels of engagement and increasing response to subsequent surveys
We offer in-depth research on the challenges—and solutions—particular to multi-client probability-based survey panels, such as attrition, conditioning, mode effects, and panel nonresponse. The Center also provides expertise in building a range of panels, from those of the general population to highly specialized panels of small groups such as young adults, Asian American and Native Hawaiian/Pacific Islander (AANHPI) communities, STEM workers, or persons ages 50 and older.
Based on our experience and expertise, we provide perspectives on best practices in panel surveys, such as the use of nonresponse follow-up recruitment strategies, trap questions, and other techniques to ensure data quality, the use of emerging technologies for panel surveys, and the importance of finding methods to survey Americans that do not access the internet.
Our research continually explores how to ensure high-quality, valid, reliable data from probability-based panels. With AmeriSpeak®, the Center has a rich data source to execute a range of research projects.
Our most recent work includes:
- Multi-mode recruitment and data collection strategies
- The use of Big Data to model panelist characteristics
- The impact of panelist psychological and personality-based attributes on survey nonresponse
- Measurements of panel conditioning and its effect on data quality
- Explorations of panelist attitudes and behaviors as they relate to election survey research on panels.
Our research seeks greater insight into the various potential error sources (coverage, sampling, nonresponse, measurement, and processing) that can occur during the panel and survey lifecycle. The Center has a rich, ambitious, and ongoing research program on probability-based panels, as well as a team of experts to help in building, maintaining, and using probability-based panels.
The Center includes an
Expert Advisory Board made up of the following internationally recognized thought leaders in panel research:
- Annelies Blom, University of Bremen, Germany
- Nancy Brigham, Dynata
- Trent D. Buskirk, Bowling Green State University
- Mario Callegaro, Google
- LinChiat Chang, Independent Consultant
- Joshua D. Clinton, Vanderbilt University
- Carina Cornesse, German Institute for Economic Research
- Ricardo Gonzalez, Universidad Adolfo Ibáñez
- D. Sunshine Hillygus, Duke University
- Josh Pasek, University of Michigan
- Laura Wronski, Survey Monkey
- Weiyu Zhang, National University of Singapore
- Recruitment Materials Design
- Multi-Mode Research
- Nonresponse Follow Up
- Perspectives on Research
- Original Research: Papers, Conference Presentations, and Internal Research Briefs