{"id":7706,"date":"2024-09-12T20:33:28","date_gmt":"2024-09-12T20:33:28","guid":{"rendered":"https:\/\/dornsife.usc.edu\/cesr\/?page_id=7706"},"modified":"2025-04-16T16:35:12","modified_gmt":"2025-04-16T16:35:12","slug":"cipher-2025-presentations","status":"publish","type":"page","link":"https:\/\/dornsife.usc.edu\/cesr\/cipher-2025-presentations\/","title":{"rendered":"CIPHER 2025 | Presentations"},"content":{"rendered":"\n\n \n \n\n\n\n\n\n\n\n
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Below are links to CIPHER 2025 presentations (in PDF), associated papers, and recordings of presentations if available.<\/p>\n

 <\/p>\n

 <\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Presenter<\/strong><\/td>\nPresentation (PDF)<\/strong><\/td>\nLink to Recording<\/strong><\/td>\n<\/tr>\n
UAS Session A: Applications of UAS Data<\/strong><\/span><\/td>\n<\/tr>\n
Natasha Wasim<\/strong><\/span><\/td>\nUsing panel data to assess changes in food insecurity following the end of pandemic-era SNAP benefits in Los Angeles County: Predictors and policy implications<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
W\u00e4ndi Bruine de Bruin\u00a0<\/strong><\/span><\/td>\nMedicare Part D beneficiaries\u2019 self-reported barriers to switching plans and making plan comparisons at all: Insights from interviews and surveys<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Michael Traugott<\/strong><\/span><\/td>\nMotivated Reasoning and Acceptance of Poll Results on a Health Policy Issue<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Shaun Gilyard<\/strong><\/span><\/td>\nBudgeting for Bills: The Impact on Daily Spending<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
UAS Session B: Applications: Experiments and Technology in Probability Panels<\/strong> <\/span><\/td>\n<\/tr>\n
Elizabeth Suhay<\/strong><\/span><\/p>\n

Jennifer Hochschild<\/strong><\/span><\/td>\n

Democrats and Republicans Grant Scientists Authority if They Think Scientific Consensus Supports Their Policy Preferences<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Evan W. Sandlin <\/strong><\/span><\/td>\nPerception and “Reality:” How Three Self-Report Measures of Physical Activity Compare to Data from Wearables<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Shiyang Sima <\/strong><\/span><\/td>\nDetection of Infectious Disease using Wearable Sensors – Experience from UAS\u2019s American Life in Realtime<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Andrew Parker <\/strong><\/span><\/td>\nDeveloping a monthly panel of extreme weather experiences for testing a theory of adult age differences in emotional well-being<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Session 1: Performance of Probability-Based Panels<\/strong><\/span><\/td>\n<\/tr>\n
Gregor \u010cehovin <\/strong><\/span><\/td>\nComparing Probability-Based and Nonprobability Web Panels to Traditional Probability-Based Surveys: Analyzing Bias in Survey Estimates<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Vera Messing <\/strong><\/span><\/p>\n

Bence S\u00e1gv\u00e1ri<\/strong><\/span><\/td>\n

Comparing online panels recruited through probability-based face-to-face and push-to-web surveys<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Andrew Mercer <\/strong><\/span><\/td>\nThe performance of probability-based online panels in election polling: Lessons from 2020 and 2024<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Alexandra Cronberg <\/strong><\/span><\/td>\nComparison of probabilistic and non-probabilistic samples in the European Training and Learning Survey: To what extent are there systematic differences?<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Session 2:<\/strong> Performance of Probability-Based Panels: Sample Blending<\/strong><\/span><\/td>\n<\/tr>\n
Randall K. Thomas <\/strong><\/span><\/td>\nDouble the Data, Double the Insight?: Blending Two Different Probability-based Samples with Differing Levels of Bias<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Megan A. Hendrich <\/strong><\/span><\/td>\nSample Smoothie: Blending Probability-based and Non-probability Samples with Differing Bias<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Andy Peytchev<\/strong><\/span><\/td>\nEvaluating Error from the Addition of Web Panel Data to a National Probability-Based Interviewer-Administered Survey<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Session 3: Introducing the THRIVE Panel<\/strong><\/span><\/td>\n<\/tr>\n
Katherine Carman <\/strong><\/span><\/p>\n

Alycia Chin <\/strong><\/span><\/p>\n

David Zimmerman<\/strong><\/span><\/p>\n

Jonathan Cook <\/strong><\/span><\/td>\n

Introducing THRIVE: Goals, Structure, and Quarterly Metrics<\/a><\/p>\n

THRIVE for Survey Methodology: Involvement in Household Financial Decisions and Perceptions of the Securities Markets<\/a><\/p>\n

Investor Testing on Fee Meters<\/a><\/p>\n

Trust in financial services<\/a><\/td>\n

Recording<\/a><\/td>\n<\/tr>\n
Lunch Session – DECIPHER<\/strong><\/span><\/td>\n<\/tr>\n
Benjamin Phillips<\/strong><\/span><\/p>\n

Carina Cornesse<\/strong><\/span><\/p>\n

Marcel Das<\/strong><\/span><\/p>\n

David Dutwin<\/strong><\/span><\/p>\n

Jon A. Krosnick<\/strong><\/span><\/p>\n

Anna Lethborg<\/strong><\/span><\/p>\n

Cameron McPhee<\/strong><\/span><\/p>\n

Andrew Mercer<\/strong><\/span><\/p>\n

Dina Neiger<\/strong><\/span><\/td>\n

DECIPHER: Do End-users Consign Importance to \u2018Probability-based\u2019 for Household Electronic Research<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Session 4: Innovations in Data Collection Methods in Probability Panels<\/strong><\/span><\/td>\n<\/tr>\n
Lisa Bondo Andersen <\/strong><\/span><\/td>\nInvestigating Components of Tourangeau\u2019s Cognitive Response Model in Survey Responses through Mouse Tracking<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Nikki L. Graf <\/strong><\/span><\/td>\nTesting Self-Administration of the Consumer Expenditure Diary Survey in a Probability-Based Online Panel<\/a><\/td>\n<\/td>\n<\/tr>\n
Ailin Liu <\/strong><\/span><\/td>\nExamining Survey Mouse Movements as Indicators of Individual Cognitive Functioning<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Marco Angrisani <\/strong><\/span><\/td>\nCaregivers\u2019 Daily Experiences Measured by Online Surveys, EMA, and Fitbit Data: Documenting Differential Participation in a Population Representative Sample<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Francis (Frank) Graves <\/strong><\/span><\/td>\nEvolving Impacts of Shifts in Institutional Trust on Panel Representation<\/a><\/td>\n<\/td>\n<\/tr>\n
Session 5: Data Quality in Panels: Question Format, Open-Ended Questions, and Attention Checks<\/strong><\/span><\/td>\n<\/tr>\n
Sebastian Lundmark <\/strong><\/span><\/p>\n

Jon A. Krosnick<\/strong> <\/span><\/td>\n

Does Succeeding on Attention Checks Moderate Treatment Effects?<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Ting Yan <\/strong><\/span><\/td>\nThe Effectiveness of Question Format to Reduce Motivated Misreporting Within and Across Waves of a Longitudinal Survey<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Gradon Nicholls <\/strong><\/span><\/td>\nUsing Large Language Models to Catch Mistakes in Coding of Open-Ended Survey Questions<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Darby Steiger <\/strong><\/span><\/td>\nBeyond the Numbers: Methodological Considerations for Integrating Qualitative Research into a Probability Panel<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Session 6:<\/strong> Sustaining Panelists’ Interest and Engagement<\/strong><\/span><\/td>\n<\/tr>\n
Kyle Berta <\/strong><\/span><\/td>\nWhiplash? Measuring the impact of including numerous unrelated topics on Omnibus surveys conducted on a probability-based panel<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
JoNell Strough <\/strong><\/span><\/td>\nCan Taylor Swift Boost Respondent Engagement in Longitudinal, Online Panels?<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Anna Lethborg <\/strong><\/span><\/td>\nMaking Membership Meaningful: Strategies for fostering a sense of belonging and commitment among probability-based panellists<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Margie Strickland <\/strong><\/span><\/td>\nUnlocking Rich Insights: Navigating the Challenges of Sustaining Longitudinal Passive Behavioral Panels<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Session 7: Innovations to Improve Panel Management<\/span>
\n<\/strong><\/td>\n<\/tr>\n
Michael Link <\/strong><\/span><\/td>\nHarnessing the Power of Large Language Models (LLMs) in Probability-Based Survey Panels: Opportunities, Challenges, and Navigation Strategies<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Jan Karem H\u00f6hne <\/strong><\/span><\/td>\nHow does smartphone participation in probability-based web surveys differ across Europe?<\/a><\/p>\n

Preprint Paper<\/a><\/td>\n

Recording<\/a><\/td>\n<\/tr>\n
Benjamin Phillips <\/strong><\/span><\/td>\nUsing propensity scores for adaptive in-field management<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Nick Bertoni <\/strong><\/span><\/td>\nAmplifying the Voice of Panel Members with the help of Gen AI to Improve Recruitment Materials<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Session 8: Issues in Recruitment<\/strong><\/span><\/td>\n<\/tr>\n
Joke Depraetere <\/strong><\/span><\/td>\nRecruiting Hard-to-Reach Populations in KnowledgePanel Europe: Strategies and Challenge<\/a>s<\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Ellyn Maese <\/strong><\/span><\/td>\nPractical Lessons for Recruiting Hispanic Respondents to Probability-Based Panels<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Andreja Pra\u010dek <\/strong><\/span><\/td>\nOptimal Recruitment Strategy for a Probability-Based Web Panel \u2013 Cost and Error Integration<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Session 9: Applications of Probability-Based Panels<\/strong><\/span><\/td>\n<\/tr>\n
Joris Mulder <\/strong><\/span><\/td>\nOnline Behavioral Experiments in the LISS panel using oTree<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Marcel Voia <\/strong><\/span><\/td>\nI Am So Tired! I Don’t Know What To Do! Fatigue and Financial Literacy: Results from a Randomized Experiment<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Duygu Basaran Sahin <\/strong><\/span><\/td>\nCapturing adults\u2019 familiarity with financial fraud through natural language processing: Relationships with targeting, engagement, and victimization<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Russell Casta\u00f1eda <\/strong><\/span><\/td>\nUtilising online probability panels for pan-European policy research on digital skills and labour market transition<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Lunch Keynote<\/strong><\/span><\/td>\n<\/tr>\n
David Dutwin<\/strong><\/span><\/td>\nLifting the Veil: Considering Deep Transparency in Household Internet Panels<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Session 10:<\/strong> Engagement, Participation Rates, and Attrition Risk<\/strong><\/span><\/td>\n<\/tr>\n
Emilio Rivera <\/strong><\/span><\/td>\nSMS Survey Recruitment Methods on Members of a Probability-Based Panel: Assessing a Decade of SMS Research Using the Gallup Panel<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Jasmine Mitchell <\/strong><\/span><\/td>\nHow do household panel members react to multiple requests for different types of additional data over time?<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Mickey Jackson <\/strong><\/span><\/td>\nBuilding a Real-Time Attrition Risk Score for Probability Panelists<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Htay-Wah Saw <\/strong><\/span><\/td>\nAnalyzing the causal effect of survey burden on nonresponse in probability-based online panels among new panel respondents<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Session 11: Issues in Recruitment II<\/span>
\n<\/strong><\/td>\n<\/tr>\n
Casey Eggleston <\/strong><\/span><\/td>\nQR Codes in the Census Household Panel<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Mansour Fahimi <\/strong><\/span><\/td>\nBeyond Incentives and Follow Up Attempts – Pragmatic Methods for Increasing Response Rates<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Ipek Bilgen <\/strong><\/span><\/td>\nThe effect of equitable contact mailing strategies on panel recruitment, retention, and data quality<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n
Ashley Kirzinger <\/strong><\/span><\/td>\nInnovating by including “pay-as-you-go” phones in combination with household panels<\/a><\/td>\nRecording<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

 <\/p>\n\n\n\n<\/div>\n\n\n <\/div><\/div>\n\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":208,"featured_media":7508,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-7706","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\nCIPHER 2025 | Presentations - Center for Economic and Social Research<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dornsife.usc.edu\/cesr\/cipher-2025-presentations\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CIPHER 2025 | Presentations - Center for Economic and Social Research\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dornsife.usc.edu\/cesr\/cipher-2025-presentations\/\" \/>\n<meta property=\"og:site_name\" content=\"Center for Economic and Social Research\" \/>\n<meta property=\"article:modified_time\" content=\"2025-04-16T16:35:12+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dornsife.usc.edu\/cesr\/wp-content\/uploads\/sites\/54\/2024\/08\/8DS_8573a.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1800\" \/>\n\t<meta property=\"og:image:height\" content=\"1200\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/dornsife.usc.edu\/cesr\/cipher-2025-presentations\/\",\"url\":\"https:\/\/dornsife.usc.edu\/cesr\/cipher-2025-presentations\/\",\"name\":\"CIPHER 2025 | Presentations - 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