Two days of videos from March 3 – 4, 2022 Current Innovations in Probability-based Household Internet Panel Research (CIPHER) hosted by the Dornsife Center for Economic and Social Research, the National Institute on Aging and the Social Security Administration. If you have any questions, please email us cesr@usc.edu.
CIPHER 2022 Keynote: Robustness in an Uncertain World (Frauke Kreuter)
Session 1: Financial literacy and long-term care insurance ownership in the Singapore Life Panel (Joelle Fong)
Session 1: Using an online panel to estimate population health risks (Alex Cook)
Session 2: Data Donation: Issues of Nonparticipation (Bella Struminskaya)
Session 2: Surveys and Financial Transaction Data: Comparisons of Different Data Collection Methodologies (Andrew Warren)
Session 2: Investigating response behavior and data quality in a mobile-first layout experiment within a well-established panel survey (Maikel Schwerdtfeger)
Session 2: Implementing Voice-Recordings in a Probability-based Panel: What we learnt so far (Katharina Meitinger)
Session 3: Trends in COVID-19 Concern and Vaccination (Debra Kalensky)
Session 3: COVID-19 and Children (Jane Manweiler)
Session 3: Economic Impacts of COVID-19 (Tess M. Yanisch)
Session 3: Covid-19 and the Explosion of Fintech (Noemi Altman)
Session 3: COVID-19 Adapting and looking forward (Karen Jaffe)
Session 4: Growing Pains: Balancing Longitudinal and Cross-Sectional Considerations for Managing and Expanding Probability Online Panels (Dana Neiger)
Session 4: From an Official Survey to a Probability-based Online Panel: the Drivers to Opt-in (Cesare A.F. Riillo)
Session 4: Why do people say they participate in probability-based online panel surveys? (Sebastian Kocar / Paul J. Lavrakas, Ph.D.)
Session 4: Benchmarking Probability-Based New England Web Panel Results in 2020-21 (Sean McKinley)
Session 4: Innovations in Hybrid Sampling Techniques – Improving Representation of Online Samples for Teens and Young Adults (Mansour Fahimi)
Session 5: Consequences of web-based consent protocols when assessing cognition in older adults (Margaret Gatz, Ph.D.)
Session 5: Barriers to administering, retrieving and interpreting online cognitive testing in an older adult cohort (Amanda Selwood)
Session 5: Self-administered web-based cognitive testing: Does environmental distraction matter? (Ying Liu)
Session 6: Are Probabilistic Online Panels Representative? A new Framework for the Analysis of Representation Bias (Michael Ochsner)
Session 6: Combining Probability and non-Probability Panel Samples to Improve Inclusion of Low-Incidence Populations (Jenny Marlar)
Session 6: Aiming for the Bullseye: Does the Use of Targeted Sample Improve Probability-based Samples? (Randall K. Thomas)
Session 6: The Effects of Attention Checks on Item Response Time and Questionnaire Completion (Ruoh-rong Yu)
Session 6: Explaining the Inaccuracy of 2016 Pre-election Poll Results from a Probability Sample Internet Panel: Base Weights, Post-stratification, and Vote Choice (Jon Krosnick)
Session 7: The Value of Working Conditions in the United States and Implications for the Structure of Wages (Kathleen J. Mullen)
Session 7: Health-Related Work Capacity at Older Ages and Labor Market Outcomes (Italo Lopez-Garcia)
Session 7: Workers’ Preferences and Expectations in the Aftermath of the Pandemic (Marco Angrisani)
Session 7: The Impact of the Pandemic on Subjective Work Probabilities at Older Ages (Francisco Perez-Arce)
Session 8: The impact of mail delays on timely research: experiences from the Healthy NYC survey panel (Leigh Reardon)
Session 8: Expansion of an Australian Probability-Based Online Panel using ABS, IVR and SMS push-to-Web: Longer-Term Performance (Benjamin Phillips / Charles Dove)
Session 8: Developing Probability-based panels in Europe (Jamie Burnett / Tanja Kimova)
Session 8: The impact of displaying cash via window envelope during mail contact when recruiting to a probability based panel (Ipek Bilgen)
Session 9: An Offer They Can’t Refuse? Evaluating Engagement Techniques Among Chronic Non-Responders in Probability Panels (Kyle Berta)
Session 9: Evaluating Data Quality in Online Panels with a Focus on Individual Respondents (Nick Bertoni)
Session 9: Beware the Trap Door: Can Online Probability Sample Data Quality be Improved Using Trap Questions? (Frances M. Barlas)
Session 10: Linking and analyzing a geographic/time specific stringency index to a probability-based longitudinal survey in Australia (Nicholas Biddle)
Session 10: School Re-openings, Educational Arrangements, and Labor Outcomes During COVID-19 (Maria Prados)
Session 10: The impact of COVID-19 on perceptions of systemic racism (Katherine Carman)
Session 10: Evolution of COVID-19 Risk Perception and Mental Models (Andrew Parker)