Abstract
AbstractWeb-based data collection is increasingly popular in both experimental and survey-based research because it is flexible, efficient, and location-independent. While dedicated software for laboratory-based experimentation and online surveys is commonplace, researchers looking to implement experiments in the browser have, heretofore, often had to manually construct their studies’ content and logic using code. We introduce , a free, open-source experiment builder that makes it easy to build studies for both online and in-laboratory data collection. Through its visual interface, stimuli can be designed and combined into a study without programming, though studies’ appearance and behavior can be fully customized using html, css, and JavaScript code if required. Presentation and response times are kept and measured with high accuracy and precision heretofore unmatched in browser-based studies. Experiments constructed with can be run directly on a local computer and published online with ease, with direct deployment to cloud hosting, export to web servers, and integration with popular data collection platforms. Studies can also be shared in an editable format, archived, re-used and adapted, enabling effortless, transparent replications, and thus facilitating open, cumulative science. The software is provided free of charge under an open-source license; further information, code, and extensive documentation are available from https://lab.js.org/.
Publisher
Springer Science and Business Media LLC
Subject
General Psychology,Psychology (miscellaneous),Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Experimental and Cognitive Psychology
Reference45 articles.
1. Arslan, R.C., Walther, M.P., & Tata, C.S. (2020). Formr: A study framework allowing for automated feedback generation and complex longitudinal experience-sampling studies using R. Behavior Research Methods, 52, 376-387. https://doi.org/10.3758/s13428-019-01236-y
2. Barnhoorn, J.S., Haasnoot, E., Bocanegra, B.R., & Steenbergen, H. v. (2015). QRTEngine: An easy solution for running online reaction time experiments using Qualtrics. Behavior Research Methods, 47 (4), 918–929. https://doi.org/10.3758/s13428-014-0530-7
3. Birnbaum, M.H. (2000). SurveyWiz and FactorWiz: JavaScript Web pages that make HTML forms for research on the Internet. Behavior Research Methods, Instruments and Computers, 32(2), 339–346. https://doi.org/10.3758/BF03207804
4. Brand, A., & Bradley, M.T. (2012). Assessing the effects of technical variance on the statistical outcomes of Web experiments measuring response times. Social Science Computer Review, 30(3), 350–357. https://doi.org/10.1177/0894439311415604
5. Buchanan, T., & Reips, U.-D. (2001). Platform-dependent biases in online research: Do Mac users really think different? In K.J. Jonas, P. Breuer, B. Schauenburg, & M. Boos (Eds.) Perspectives on internet research: Concepts and methods. Retrieved December 16, 2018, from http://www.unikonstanz.de/iscience/reips/pubs/papers/Buchanan_Reips2001.pdf.
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