Cited by 852Survey Methodology and NonresponsePsychometric Methodologies and TestingPsychological Testing and Assessment

Caring about carelessness: Participant inattention and its effects on research

Maniaci, Michael R., Rogge, Ronald D.·2014·Journal of Research in Personality

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Crossref · 10.1016/j.jrp.2013.09.008

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7 of 7 references verified0 citation errors · 0 not checkable

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  • Attention check items were used to screen out inattentive participants to improve data quality, as recommended by Maniaci and Rogge (2014).

    “As online questionnaires are especially vulnerable to inattentive responding (which could be increased even further by the monetary compensation), we used attention check items, as recommended by Maniaci and Rogge (2014). We used a total of 4 items throughout the questionnaire to screen out inattentive participants to improve data quality”
  • Data quality was ensured by excluding inattentive or careless responses using a Directed Question Scale attention check and extreme response duration criteria.

    “To ensure data quality, responses from inattentive or careless individuals were excluded from the analysis through multiple criteria.”

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Authors
Maniaci, M. R., & Rogge, R. D.
Affiliations
University of Rochester (US)
Corresponding author
Rogge, Ronald D.
Venue
Journal of Research in Personality
Publisher
Elsevier BV
Published
2014-02
Volume
48
Pages
61-83
ISSN
0092-6566 (ISSN-L)
OpenAlex
W1991966247
Cited by
852
References
7
Citations by year
2026: 89 · 2025: 110 · 2024: 114 · 2023: 101 · 2022: 90 · 2021: 64 · 2020: 73 · 2019: 59 · 2018: 57 · 2017: 44 · 2016: 24 · 2015: 22 · 2014: 5
FWCI
52.66
Type
journal article
Language
en
Open access
closed
Locations
Journal of Research in Personality (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
Keywords
statistical power, effect size estimation

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