International Survey Methodologist, Pew Research Center
County Health Rankings & Roadmaps Research Grants: Call for Proposals
Notice of Special Interest (NOSI): Early-life Factors and Cancer Development Later in Life
Call for Papers: Education for Refugees and Forced Im/Migrants across Time and Context
Call for Papers: Special Issue: COVID-19 Economics, Economia Journal
The Spring 2021 National Science Foundation (NSF) Virtual Grants Conference
Call for Papers: “Conflict, Migration, and Displacement“ 17th Annual Workshop of the Households in Conflict Network
UW CISO Information Security Briefing: Preventing and Identifying Fraud in Survey Data Collection
Preventing and Identifying Fraud in Survey Data Collection
Presented by Christine Leibbrand, MA, PhD, Research Scientist and Training Director, Department of Sociology
With a plethora of online platforms for collecting survey data, advertising surveys, and paying participants, it has become easier than ever to collect survey data. However, with those opportunities has come increasing risk that survey data will be hacked and the tools fraudsters have to hack surveys have become increasingly sophisticated. This workshop will serve as an introduction to ways in which your survey may be hacked, factors that increase your risk of experiencing fraud in your results, and strategies for preventing and identifying fraud in your data. This workshop is especially suited to researchers who are interested in fielding surveys through online platforms such as REDCap, Qualtrics, or Survey Monkey.
Date: Thursday, May 13
Time: 1:00-2:00
RSVP: Contact malbin@uw.edu for a Zoom link