The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Human Research and Data Collection via the Internet
Abstract
Advantages and disadvantages of Web and lab research are reviewed. Via the World Wide Web, one can efficiently recruit large, heterogeneous samples quickly, recruit specialized samples (people with rare characteristics), and standardize procedures, making studies easy to replicate. Alternative programming techniques (procedures for data collection) are compared, including client-side as opposed to server-side programming. Web studies have methodological problems; for example, higher rates of drop out and of repeated participation. Web studies must be thoroughly analyzed and tested before launching on-line. Many studies compared data obtained in Web versus lab. These two methods usually reach the same conclusions; however, there are significant differences between college students tested in the lab and people recruited and tested via the Internet. Reasons that Web researchers are enthusiastic about the potential of the new methods are discussed.
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Cites
Advances in prospect theory: Cumulative representation of uncertainty
Tversky, A., & Kahneman, D. (1992) · Journal of Risk and Uncertainty · doi:10.1007/bf00122574 · Cited by 15,467
Internet paradox: A social technology that reduces social involvement and psychological well-being?
Kraut, R., Patterson, M., Lundmark, V., Kiesler, S., Mukophadhyay, T., & Scherlis, W. (1998) · American Psychologist · doi:10.1037/0003-066x.53.9.1017 · Cited by 4,793
World-Wide Web survey research: Benefits, potential problems, and solutions
Schmidt, W. C. (1997) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03204826 · Cited by 620
Cited by
Conducting behavioral research on Amazon’s Mechanical Turk
Mason, W., & Suri, S. (2012) · Behavior Research Methods · doi:10.3758/s13428-011-0124-6 · Cited by 3,172
Orientations to happiness and life satisfaction: the full life versus the empty life
Peterson, C., Park, N., & Seligman, M. E. P. (2005) · Journal of Happiness Studies · doi:10.1007/s10902-004-1278-z · Cited by 1,511
Müllensiefen, D., Gingras, B., Musil, J., & Stewart, L. (2014) · PLoS ONE · doi:10.1371/journal.pone.0089642 · Cited by 1,155
Many Labs 2: Investigating variation in replicability across samples and settings
Klein, R. A., Vianello, M., Hasselman, F., Adams, B. G., Adams, R. B., Alper, S., Aveyard, M., Axt, J. R., Babalola, M. T., Bahník, Š., et al. (2018) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245918810225 · Cited by 944
Brysbaert, M. (2019) · Journal of Cognition · doi:10.5334/joc.72 · Cited by 996
Metadata
- Authors
- Birnbaum, M. H.
- Venue
- Annual Review of Psychology
- Publisher
- Annual Reviews
- Published
- 2004-02-01
- Volume
- 55
- Issue
- 1
- Pages
- 803-832
- ISSN
- 0066-4308 (ISSN-L)
- 1545-2085
- OpenAlex
- W2112744711
- Cited by
- 869
- References
- 3
- FWCI
- 36.98
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.