Data Quality In Online Experiments Papers

Discover 1 peer-reviewed study in Data Quality In Online Experiments (2024). Explore research findings powered by Prolific's diverse participant panel.

This page lists 1 peer-reviewed paper in the research area of Data Quality In Online Experiments in the Prolific Citations Library, a curated collection of research powered by high-quality human data from Prolific.

Papers (1 of 1)

Comparing data quality from an online and in-person lab sample on dynamic theory of mind tasks

Authors: AC Krendl, K Hugenberg, DP Kennedy

Year: 2024

Published in: Behavior research methods, 2024 - Springer

Institution: Indiana University

Research Area: Psychological Research Methods, Data Quality in Online Experiments, Theory of Mind Assessment

Discipline: Research Methodology, Cognitive Psychology

This study found that online samples can reliably complete dynamic, complex theory of mind tasks, though familiarity with task content can influence performance.

Methods: Compared in-lab and online participants' performance on two dynamic theory of mind tasks, using one familiar and one relatively novel TV-based paradigm and counterbalancing task order.

Key Findings: Performance on theory of mind tasks, including inferring beliefs, understanding motivations, detecting deception, identifying faux pas, and understanding emotions.

Citations: 13

Sample Size: 668