Jeremy Seeman - Flexible Formal Privacy for Public Data Curation - JPSM MPSDS Seminar - November 1, 2023

Flexible Formal Privacy for Public Data Curation Researchers rely extensively on public datasets disseminated by official statistics agencies, universities, non-governmental organizations, and other data curators. With the increasing availability of data and computing power comes increased threats to privacy, as published statistics can more easily be used to reconstruct sensitive personal data. Formal privacy (FP) methods, like differential privacy (DP), provably limit such information…

Alexandru Cernat - Investigating the quality of digital trace and data donation - JPSM MPSDS Seminar - October 25, 2023

Investigating the quality of digital trace and data donation Challenges to traditional survey data collection such as increased costs and decreasing non-response are leading survey researchers to explore new forms of data. Recently, two types of data have received increased focus as a possible replacements or enhancements of surveys: digital trace data and data donation. Digital trace data refers to data produced while individuals interact with digital platforms, such as apps and…

Natalie Shlomo - Implementing and Adjusting a Non-probability Web Survey: Experiences of EVENs (Survey on the Impact of COVID19 on Ethnic Minorities in the United Kingdom) - JPSM MPSDS Seminar - October 18, 2023

Natalie ShlomoProfessor of Social Statistics, University of Manchester This is joint work with Andrea Aparcio-Castro, Daniel Ellingworth, Angelo Moretti, Harry Taylor, Nissa Finney and James Nazroo Implementing and Adjusting a Non-probability Web Survey: Experiences of EVENs (Survey on the Impact of COVID19 on Ethnic Minorities in the United Kingdom) We discuss the challenges of implementing and adjusting a large-scale non-probability web survey. For the application, we focus on the…

Katherine Jenny Thompson - Using Partially Synthetic Frames to Evaluate Alternative Sample Designs for Estimating a Rare Business Characteristic -October 4, 2023

Using Partially Synthetic Frames to Evaluate Alternative Sample Designs for Estimating a Rare Business CharacteristicKatherine Jenny Thompson, U.S. Census Bureau Hang Joon Kim (University of Cincinnati) Stephen Kaputa (U.S. Census Bureau) In the “traditional'” finite population sampling framework, the sample designer has a complete list (frame) of eligible units with classification information and auxiliary variables related to surveyed characteristics. In our setting, the…

David Dutwin & Ipek Bilgen - Everything You Need to Know When Utilizing Probability Panels: Best Practices in Planning, Fielding, and Analysis - September 27, 2023

Everything You Need to Know When Utilizing Probability Panels: Best Practices in Planning, Fielding, and Analysis Speakers: David Dutwin & Ipek Bilgen Probability-based panel survey research is more widespread than ever, as the continuing decline in survey response rates makes cross-sectional sample surveys less and less accessible both in terms of fit for purpose data quality and cost. The attraction of probability panels for surveys is their ability to attain, dependent upon their…

Stephanie Morales - Assessing Cross-Cultural Comparability of Self-Rated Health and Its Conceptualization through Web Probing - April 5, 2023

Assessing Cross-Cultural Comparability of Self-Rated Health and Its Conceptualization through Web ProbingSelf-rated health (SRH) is a widely used question across different fields, as it is simple to administer yet has been shown to predict mortality. SRH asks respondents to rate their overall health typically using Likert-type response scales (i.e., excellent, very good, good, fair, poor). Although SRH is commonly used, few studies have examined its conceptualization from the respondents’…

SI DEI Fellowship Program Webinar - March 20, 2023

Annette Jackle - How to ask for consent to data linkage: Things we’ve learnt - March 15, 2023

HOW TO ASK FOR CONSENT TO DATA LINKAGE: THINGS WE’VE LEARNT Data linkage usually requires informed consent of respondents, whether for legal or ethical reasons. A common problem is that when consent questions are asked in self-completion surveys, respondents are much less likely to consent than when they are asked for consent in interviewer administered surveys. In the existing literature, predictors of consent are mostly inconsistent, between studies, but also between different…