Discover 3 peer-reviewed studies in Survey Research (2020–2025). Explore research findings powered by Prolific's diverse participant panel.
This page lists 3 peer-reviewed papers in the research area of Survey Research in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: L Luettgau, HR Kirk, K Hackenburg, J Bergs, H Davidson, H Ogden, D Siddarth, S Huang
Year: 2025
Published in: ARXIV
Institution: AI Security Institute, I Policy Directorate, Collective Intelligence Project, Anthropic
Research Area: Experimental evaluation, RCT, Survey Research
Discipline: Computer Science, Human–Computer Interaction (HCI)
Conversational AI is as effective as self-directed internet searches in increasing political knowledge, reducing misinformation beliefs, and promoting accuracy among users in the UK during the 2024 election period.
Methods: A national survey (N=2,499) measured conversational AI usage for political information-seeking, followed by a series of randomised controlled trials (N=2,858) comparing conversational AI to self-directed internet search in improving political knowledge.
Key Findings: Extent of conversational AI usage for political knowledge-seeking in the UK and its efficacy in enhancing political knowledge and reducing misinformation compared to traditional internet searches.
Citations: 3
Sample Size: 5357
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Authors: D Jordan, T Ollerenshaw, A Trexler
Year: 2025
Published in: 2025 - weekendu.uh.edu
Institution: University of Houston, Duke University
Research Area: Experimental Survey Research Methodology
Discipline: Social Science, Research Methodology
Repeated measure designs offer enhanced precision with minimal bias, suitable for various experiments despite slight attenuation of treatment effects.
Methods: Experimentally manipulated six classic political science experiments across three sample types, including extensions with proximity manipulation and sample-type variations.
Key Findings: Suitability and precision of repeated measure designs in survey experiments, including treatment effect estimations and design applicability across different sample types and methodologies.
Citations: 1
Sample Size: 13163
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Authors: A Bergman, A Chinco, SM Hartzmark
Year: 2020
Published in: Start-Up Guide and ..., 2020 - papers.ssrn.com
Institution: Yale School of Management, University of Miami School of Business, New York University, Columbia University
Research Area: Survey Methodology, Experimental Design, Social Science Research Methods
Discipline: Social Science Research Methods
Citations: 34