Cited by 468Mobile Crowdsensing and CrowdsourcingPsychology Research and BibliometricsPsychometric Methodologies and Testing

Many Labs 3: Evaluating participant pool quality across the academic semester via replication

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Ebersole, Charles R., Atherton, Olivia E., Belanger, Aimee L., Skulborstad, Hayley M., Allen, Jill M., Banks, Jonathan B., Baranski, Erica, Bernstein, Michael J. +56 more·2016·Journal of Experimental Social Psychology

Abstract

Abstract The university participant pool is a key resource for behavioral research, and data quality is believed to vary over the course of the academic semester. This crowdsourced project examined time of semester variation in 10 known effects, 10 individual differences, and 3 data quality indicators over the course of the academic semester in 20 participant pools (N = 2696) and with an online sample (N = 737). Weak time of semester effects were observed on data quality indicators, participant sex, and a few individual differences—conscientiousness, mood, and stress. However, there was little evidence for time of semester qualifying experimental or correlational effects. The generality of this evidence is unknown because only a subset of the tested effects demonstrated evidence for the original result in the whole sample. Mean characteristics of pool samples change slightly during the semester, but these data suggest that those changes are mostly irrelevant for detecting effects.

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Crossref · 10.1016/j.jesp.2015.10.012

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Authors
Ebersole, C. R., Atherton, O. E., Belanger, A. L., Skulborstad, H. M., Allen, J. M., Banks, J. B., Baranski, E., Bernstein, M. J., Bonfiglio, D. B. V., Boucher, L., Brown, E. R., Budiman, N. I., Cairo, A. H., Capaldi, C. A., Chartier, C. R., Chung, J. M., Cicero, D. C., Coleman, J. A., Conway, J. G., Davis, W. E., Devos, T., Fletcher, M. M., German, K., Grahe, J. E., Hermann, A. D., Hicks, J. A., Honeycutt, N., Humphrey, B., Janus, M., Johnson, D. J., Joy-Gaba, J. A., Juzeler, H., Keres, A., Kinney, D., Kirshenbaum, J., Klein, R. A., Lucas, R. E., Lustgraaf, C. J. N., Martin, D., Menon, M., Metzger, M., Moloney, J. M., Morse, P. J., Prislin, R., Razza, T., Re, D. E., Rule, N. O., Sacco, D. F., Sauerberger, K., Shrider, E., Shultz, M., Siemsen, C., Sobocko, K., Weylin Sternglanz, R., Summerville, A., Tskhay, K. O., van Allen, Z., Vaughn, L. A., Walker, R. J., Weinberg, A., Wilson, J. P., Wirth, J. H., Wortman, J., & Nosek, B. A.
Affiliations
  • University of Virginia (US)
  • University of California, Davis (US)
  • Miami University (US)
  • Montana State University (US)
  • Nova Southeastern University (US)
  • University of California, Riverside (US)
  • Pennsylvania State University (US)
  • Ashland University (US)
  • University of North Florida (US)
  • Virginia Commonwealth University (US)
  • Carleton University (CA)
  • University of Hawaiʻi at Mānoa (US)
  • University of Florida (US)
  • Texas A&M University (US)
Corresponding author
Ebersole, Charles R.
Venue
Journal of Experimental Social Psychology
Publisher
Elsevier BV
Published
2016-11
Volume
67
Pages
68-82
ISSN
0022-1031 (ISSN-L)
OpenAlex
W2520456228
Cited by
468
References
54
Citations by year
2026: 19 · 2025: 38 · 2024: 43 · 2023: 51 · 2022: 47 · 2021: 65 · 2020: 55 · 2019: 41 · 2018: 50 · 2017: 31 · 2016: 18 · 2015: 8 · 2014: 1
FWCI
62.25
Type
journal article
Language
en
Open access
Locations
  • Journal of Experimental Social Psychology (publishedVersion)
  • Research portal (Tilburg University) (publishedVersion)
  • Aquila Digital Community (University of Southern Mississippi) (submittedVersion)
  • Digital Collections - Ithaca College Library (Ithaca College) (submittedVersion, public-domain)
  • University of North Florida Digital Commons (University of North Florida) (submittedVersion)
  • NSUWorks (Nova Southeastern University) (submittedVersion)
  • Data Archiving and Networked Services (DANS) (submittedVersion)
  • eScholarship (California Digital Library) (submittedVersion, cc-by)
Topics
  • Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Keywords
replication, data quality metrics, individual differences, conscientiousness, mood, stress, online sample

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