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American Association for Public Opinion Research

Webinar Details

The Mixology of Samples - Blending Probability and Nonprobability Samples

Mansour Fahimi, Frances Barlas, Randall Thomas

Tuesday, March 13, 2018
12:00 - 1:30 PM CDT/ 1:00 - 2:30 PM EDT/ 10:00 - 11:30 AM PDT

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About This Course:

The times, they are a-changing! Subsequent to the webinar conducted in February on the fundamentals of nonprobability samples, this presentation provides concrete recommendations for producing inferences from surveys that rely on blended probability and nonprobability samples based on our years of hands-on experience. After a brief recap of the previous webinar, we will discuss robust weighting methodologies that can reduce some of the inherent biases of nonprobability samples, including extending weighting adjustments beyond standard geodemographic realignments. We then introduce an option for the optimal integration of surveys from different samples, and touch upon fusion of ancillary data from external sources. Next, we will provide recommendations for practical alternatives for approximating error margins from blended samples. We will end this webinar with some contemplations about the new directions in survey sampling in the digital age.
 

Webinar Level:
Introductory

 

 

Learning Objectives:

   
  • Assessment of current practices for weighting nonprobability samples
  • Recommendations for optimal calibration and blending of survey data
  • Practical options for approximating error margins

About the Instructors:

 
Mansour Fahimi, Frances Barlas, and Randall Thomas

Mansour Fahimi, Ph.D., Chief Statistician & Senior Vice President
With over 25 years of experience in survey and market research methods and applications, Dr. Mansour Fahimi is the Senior Vice President and Chief Statistician at GfK Custom Research, LLC. Mansour works on design and administration of complex surveys, as well as optimization techniques in sampling, post-survey data enhancement procedures including nonresponse bias analysis, imputation of missing data, computation of survey weights, and methods for variance estimation. As a leading researcher in telephone and address-based sampling methods, he has worked on refinements for improving the coverage and inferential possibilities of surveys employing these methods. He has extensive experience with data analysis involving multivariate techniques, time series, nonparametric methods, and procedures for analysis of data from complex surveys. In recent years, Mansour has been working on non-probability sampling alternatives and his research and publications are now focused on improving the integrity of data from surveys that are subject to high rates of undercoverage and nonresponse.
 
Frances M. Barlas, Ph.D., Senior Research Scientist & Vice President
With over 15 years of experience in survey research, Dr. Frances Barlas is a leading survey methodologist in online surveys. She conducts research-on-research to improve all aspects of survey methodology at GfK Custom Research, focusing on survey sampling, weighting, and measurement. Frances also leads research and development initiatives to advance the operational efficiency and statistical integrity of GfK’s KnowledgePanel® and other GfK research assets. Her recent research interests have centered on non-probability sampling and weighting adjustments, mobile-first survey design, and data quality.
 
Randall K. Thomas, Chief Survey Methodologist & Senior Vice President
Randall is an internationally-recognized survey methodologist, responsible for overseeing the quality of research processes and projects for GfK Custom Research. He serves as a special consultant on projects requiring challenging multi-mode and custom panel designs. Trained in social psychology at Ohio State University, Randall has been one of the most prolific researchers on measurement using web-based surveys for the past 15 years and has more than 25 years of experience in experimental survey methodology across modes of interviewing and countries. His research interests focus on measurement of attitudes, intentions, and behaviors across devices and modalities.