Is the Web as good as the lab? Comparable performance from Web and lab in cognitive/perceptual experiments
By Laura T. Germine, Ken Nakayama, B. Duchaine, Christopher F. Chabris, Garga Chatterjee, J. Wilmer. Psychonomic Bulletin & Review, 2012
748 citations recorded by the source corpus.
Subfields: Applied Psychology, Ecology, Evolution, Behavior and Systematics, Social Psychology
View Paper: https://www.semanticscholar.org/paper/f1ad7b452532c44c13d26d69000b1f1ced9ff050
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In Applied Psychology
In Social Psychology
Citations in the corpus
- Individual Differences in Face Recognition: A Decade of Discovery (2017, background): “, 2014), (3) how to translate experimental research into an understanding of individual differences (DeGutis, Wilmer, Mercado, & Cohan, 2013),1 and (4) how facilitation of individual self-discovery can fuel scientific progress (Germine et al., 2012; Wilmer et al., 2012).”
- When does cognitive functioning peak? The asynchronous rise and fall of different cognitive abilities across the lifespan (2015, methodology): “Systematic comparisons between data collected from lab- versus Internet-based samples have demonstrated that online data can be as reliable as data collected in the lab or using traditional methods (Germine et al., 2012; Meyerson & Tryon, 2003).”
- PsyPhy: A Psychophysics Driven Evaluation Framework for Visual Recognition (2016, background): “org [26], perceptual annotation was shown to enhance face detection performance.”
- Character strengths in 75 nations: An update (2015, neutral): “Prior research on web-based research with unsolicited and unscreened participants suggests the resulting data are generally as good as data produced through in-person contacts (e.g. Germine et al., 2012; Gosling, Vazire, Srivastava, & John, 2004).”
- Perceptual Annotation: Measuring Human Vision to Improve Computer Vision (2014, background): “would be available to a lab-based experimenter; the data we capture closely matches what is recorded in a traditional, well-controlled lab setting [28].”
- Evaluating Amazon's Mechanical Turk as a Tool for Experimental Behavioral Research (2013, background): “However, unlike existing work, in the present study we focus on qualitative replication of theoretically significant findings rather than on comparisons of the performance variance or mean performance of lab and online participants (e.g., [11]).”