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Webinar Details

Application of the Total Survey Error Paradigm to Online Surveys - Survey Sampling in the Digital Ag

Frances Barlas and Mansour Fahimi
Thursday, December 17, 2020
1:00pm Eastern Time

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About This Course:

Application of the Total Survey Error Paradigm to Online Surveys – Survey Sampling in the Digital Age

During the past two decades, online survey research has evolved from a fledgling newcomer oft regarded as an option suitable for quick market research applications to perhaps the most widely used survey methodology worldwide. As such, the art and science of online surveys continue to evolve by adopting more effective techniques for representative recruitment and sampling, as well as more mobile-friendly protocols for survey design and administration. Still, many researchers struggle with several challenges when transitioning traditional methods of survey administration to an online modality. On the one hand, samples from most online panels are void of the organic representation that is exclusive to probability-based samples from complete frames. On the other, traditional methods for questionnaire design are becoming obsolete as smartphones have become the device of choice for many online survey-takers. Lastly, with the growing problem of bots and click-farms it is becoming increasingly difficult to safeguard surveys against fraudulent respondents and poor-quality data. This short webinar will cover current and practical topics for online survey research applications, including:
  1. Pragmatic guidelines for sampling from online panels;
  2. Questionnaire design for online surveys and effective data editing options; and
  3. Weighting and calibration adjustments for samples with compromised coverage.

Learning objectives
  • Learning effective techniques for design and administration of online surveys
Webinar Level:
About the Instructor(s):

MansourFahimi.jpgFor 30 years, Dr. Mansour Fahimi has been providing statistical expertise and hands-on support for projects from design to delivery, investigating innovative refinements for market and survey research methods, and mentoring staff. Mansour works on design and administration of complex surveys for both public and private sector clients, as well as data enhancement methods, process optimization procedures, and program evaluation tasks. He has extensive experience with advanced data analysis techniques, particularly multivariate methods and procedures for analysis of weighted data from complex surveys. In recent years Dr. Fahimi has been working on online data collection methods where his research and publications have focused on improving the inferential integrity of data from compromised samples. He has developed innovative calibration techniques to compensate for the limitations of data with unspecified representational properties, as well as data quality initiatives and procedures for elimination of fraudulent respondents.

FrancesBarlas.jpgDr. Frances Barlas serves as Vice President and Head of KnowledgePanel Statistics for Ipsos Public Affairs. With over 15 years of experience implementing survey research studies using multiple modes of data collection, Frances has experience in study design, questionnaire construction, population definition and sample selection, weighting, and analysis and reporting. She has successfully executed numerous research-on-research studies, advancing industry knowledge on how to collect valid and reliable data, presenting her work in over 80 presentations at research conferences. Dr. Barlas has served as the lead methodologist on numerous projects, including some with reports that have been submitted to the United States Congress, commercial clients, and various news organizations. She holds a Ph.D. in Sociology from Temple University and has keen interest in innovative methods for survey research applications using online panels.