Explore 10 peer-reviewed papers in Behavioral Research Methods (2015–2025). Academic research using Prolific for high-quality human data collection.
This page lists 10 peer-reviewed papers in the discipline of Behavioral Research Methods in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.
-
Authors: D OConnell, A Bautista
Year: 2025
Published in: ... Student Journal of ..., 2025 - journals.library.columbia.edu
Institution: University of Houston, Webster University
Research Area: Crowdsourcing Research Methodology, Human-Computer Interaction
Discipline: Computational Social Science, Behavioral Research Methods
Prolific outperforms MTurk in participant data quality and affordability for online survey-based research.
Methods: Data from participants recruited via MTurk and Prolific were analyzed for cost, attention measures, participation duration, and internal consistency.
Key Findings: Comparison of data quality and cost-effectiveness between MTurk and Prolific for online survey recruitment.
Citations: 1
Sample Size: 699
-
Authors: DT Esch, N Mylonopoulos, V Theoharakis
Year: 2025
Published in: Behavior Research Methods, 2025 - Springer
Institution: University of Cologne, University of Piraeus, Aristotle University of Thessaloniki
Research Area: Crowdsourcing Behavioral Research, Mobile Data Collection
Discipline: Behavioral Research Methods
Mobile-based responses via platforms like Pollfish are comparable in quality to computer-based ones from MTurk and Prolific, though attentiveness varies significantly across platforms and is influenced by factors like incentives, distractions, and system 1 thinking.
Methods: Conducted two studies distributing the same survey across MTurk, Prolific, Pollfish, and Qualtrics panels to compare data quality and analyze attentiveness scores.
Key Findings: Attentiveness, device usage (mobile vs. computer), and factors influencing data quality such as incentives, respondent activity, distractions, and survey familiarity.
Citations: 1
-
Authors: CS Kay
Year: 2025
Published in: Behavior Research Methods, 2025•Springer
Institution: Stanford University
Research Area: Behavioral Research Methods
Discipline: Behavioral Science, Behavioral Research Methods
Data collected on Amazon's Mechanical Turk (MTurk) shows substantial quality issues, with semantic antonym pairs being positively correlated instead of negatively, even after implementing data screening and using high-reputation participants.
Methods: 27 semantic antonym pairs were administered to participants from Connect (N=100), Prolific (N=100), and MTurk (N=400, N=600) to examine response quality and correlation patterns.
Key Findings: The correlation of responses to semantic antonym pairs as an indicator of data quality across different survey platforms.
Citations: 1
Sample Size: 1200
-
Authors: E Peer, D Rothschild, A Gordon, E Damer
Year: 2022
Published in: Behavior Research Methods, 2022 - Springer
Institution: The Hebrew University of Jerusalem, Microsoft Research, Prolific
Research Area: Online Behavioral Research, Data Quality, Research Methodology
Discipline: Computational Social Science, Behavioral Research Methods
Citations: 2112
-
Authors: AM Turner, T Engelsma, JO Taylor
Year: 2022
Published in: AMIA annual ..., 2021 - pmc.ncbi.nlm.nih.gov
Institution: NiH
Research Area: Crowdsourcing Platforms, Participant Recruitment
Discipline: Behavioral Research Methods, Gerontology
Citations: 105
-
Authors: AA Arechar, DG Rand
Year: 2021
Published in: Behavior research methods, 2021 - Springer
Institution: Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA
Research Area: Online Labor Markets, Amazon Mechanical Turk (MTurk), Social Science Research during COVID-19
Discipline: Behavioral Research Methods
Citations: 154
-
Authors: L Litman, A Moss, C Rosenzweig
Year: 2021
Published in: Choosing the right ..., 2021 - papers.ssrn.com
Institution: Prolific
Research Area: Online Research Methods, Crowdsourcing Platforms, Data Quality, Participant Recruitment
Discipline: Computational Social Science, Behavioral Research Methods
Citations: 133
-
Authors: E Kothe, M Ling
Year: 2019
Published in: 2019 - files.osf.io
Institution: Deakin University, Misinformation Lab
Research Area: Behavioral Research Methods, Crowdsourcing, Longitudinal Studies
Discipline: Behavioral Research Methods
Citations: 71
-
Authors: S Palan, C Schitter
Year: 2018
Published in: Journal of behavioral and experimental finance, 2018 - Elsevier
Institution: University of Graz, University of Innsbruck
Research Area: Behavioral Science, Experimental Finance, Online Research Methods
Discipline: Behavioral Science, Experimental Finance, Online Research Methods
Citations: 4482
-
Authors: AT Woods, C Velasco, CA Levitan, X Wan, C Spence
Year: 2015
Published in: PeerJ, 2015 - peerj.com
Institution: Pontificia Universidad Javeriana, BI Norwegian Business School, Occidental College
Research Area: Experimental Psychology, Perception Research Methods
Discipline: Experimental Psychology, Behavioral Research Methods
Citations: 335
