Discover 7 peer-reviewed studies in Survey Methodology (2020–2025). Explore research findings powered by Prolific's diverse participant panel.
This page lists 7 peer-reviewed papers in the research area of Survey Methodology in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
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Authors: S Zhang, J Xu, AJ Alvero
Year: 2025
Published in: Sociological Methods & Research, 2025 - journals.sagepub.com
Institution: University of Maryland, Indiana University, University of Minnesota Duluth
Research Area: Sociological Methods, Generative AI, Survey Methodology
Discipline: Sociology, Social Science
The study finds that 34% of research participants use generative AI tools like large language models (LLMs) to assist with open-ended survey responses, leading to more homogeneity and positivity in their answers, which could impact data validity by masking social variations.
Methods: The study conducted an original survey on a popular online platform and simulated comparisons between human-written responses from pre-ChatGPT studies and LLM-generated responses.
Key Findings: Use of LLMs by survey participants, differences in text homogeneity, positivity, and masking of social variation in open-ended survey responses.
Citations: 26
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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: B Lebrun, S Temtsin, A Vonasch
Year: 2024
Published in: Frontiers in Robotics and ..., 2024 - frontiersin.org
Institution: University of Lausanne, University of California Berkeley, University of Massachusetts Amherst, Arizona State University
Research Area: AI in Social Science Research, Survey Methodology, Data Quality
Discipline: Artificial Intelligence
The study examines the integrity of online questionnaire responses and concludes that humans can identify AI-generated text with 76% accuracy, but current AI detection systems are ineffective, raising concerns about data quality in online surveys.
Methods: Human participants and automatic AI detection systems were tested on their ability to differentiate AI-generated text from human-generated text in the context of online questionnaires.
Key Findings: The study measured the ability of humans and AI detection tools to correctly identify whether text was generated by a human or an AI system for online questionnaire responses.
DOI: https://doi.org/10.3389/frobt.2023.1277635
Citations: 26
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Authors: J Lewis, V Dranseika, S Holm
Year: 2023
Published in: Clinical Ethics, 2023 - journals.sagepub.com
Institution: University of Manchester, Jagiellonian University
Research Area: Research Ethics in Crowdsourcing, Survey Methodology
Discipline: Research Ethics
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Authors: Beth Armstrong, Christian Reynolds, Gemma Bridge, Libby Oakden Changqiong Wang, Luca Panzone, Ximena Schmidt Rivera, Astrid Kause, Charles Ffoulkes, Coleman Krawczyk, Grant Miller, Stephen Serjeant
Year: 2021
Published in: Frontiers
Institution: Agricultural Development Advisory Service, Brunel University London, Leeds Beckett University, Newcastle University, Open University, Queen Mary University of London, The University of Sheffield, University of Leeds, University of London, University of Portsmouth, Zooniverse
Research Area: Food Knowledge, Citizen Science, Survey Methodology
Discipline: Food Science, Survey Methodology
Citations: 26
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Authors: P Geldsetzer
Year: 2020
Published in: Journal of medical Internet research, 2020 - jmir.org
Institution: Stanford University
Research Area: Public Health Surveillance, Survey Methodology, Infectious Disease Outbreaks, COVID-19
Discipline: Public Health, Digital Health Research
Citations: 596
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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