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Noncompliant responding: Comparing exclusion criteria in MTurk personality research to improve data quality
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“However, compared to undergraduate research pool respondents, online study participants typically provide comparable or superior data quality and research fidelity [e.g., 90].”
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“In crowd-sourced settings such as MTurk, respondents are often incentivized to respond as attentively, compliantly, and quickly as possible to both open higher-paying opportunities and prevent being rejected from future employment [90, 100].”
From Not so terrifying after all? A set of failed replications of the mortality salience effects of Terror Management Theory (2023) · cites this paper as [90]
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“Although some recent concerns about MTurk quality have emerged, data support that diverse validity and attention checks, such as those included in the present studies, adequately protect data quality [90–92].”
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Metadata
- Authors
- Barends, A. J., & de Vries, R. E.
- Affiliations
- Vrije Universiteit Amsterdam (NL)
- Corresponding author
- Barends, Ard J.
- Venue
- Personality and Individual Differences
- Publisher
- Elsevier BV
- Published
- 2019-06
- Volume
- 143
- Pages
- 84-89
- ISSN
- 0191-8869 (ISSN-L)
- OpenAlex
- W2915179069
- Cited by
- 124
- References
- 27
- Citations by year
- 2026: 12 · 2025: 20 · 2024: 18 · 2023: 18 · 2022: 24 · 2021: 20 · 2020: 9 · 2019: 2
- FWCI
- 14.17
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Personality and Individual Differences (publishedVersion)
- VU Research Portal (publishedVersion, other-oa)
- University of Twente Research Information (submittedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- VU University
- Topics
- Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Keywords
- Amazon Mechanical Turk, data quality, exclusion criteria, personality assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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