Practices in Data-Quality Evaluation: A Large-Scale Review of Online Survey Studies Published in 2022
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12410%2F24%3A43907944" target="_blank" >RIV/60076658:12410/24:43907944 - isvavai.cz</a>
Result on the web
<a href="https://journals.sagepub.com/doi/10.1177/25152459241236414" target="_blank" >https://journals.sagepub.com/doi/10.1177/25152459241236414</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1177/25152459241236414" target="_blank" >10.1177/25152459241236414</a>
Alternative languages
Result language
angličtina
Original language name
Practices in Data-Quality Evaluation: A Large-Scale Review of Online Survey Studies Published in 2022
Original language description
In this study, I examine data-quality evaluation methods in online surveys and their frequency of use. Drawing from survey-methodology literature, I identified 11 distinct assessment categories and analyzed their prevalence across 3,298 articles published in 2022 from 200 psychology journals in the Web of Science Master Journal List. These English-language articles employed original data from self-administered online questionnaires. Strikingly, 55% of articles opted not to employ any data-quality evaluation, and 24% employed only one method despite the wide repertoire of methods available. The most common data-quality indicators were attention-control items (22%) and nonresponse rates (13%). Strict and unjustified nonresponse-based data-exclusion criteria were often observed. The results highlight a trend of inadequate quality control in online survey research, leaving results vulnerable to biases from automated response bots or respondents’ carelessness and fatigue. More thorough data-quality assurance is currently needed for online surveys.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50101 - Psychology (including human - machine relations)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Advances in Methods and Practices in Psychological Science
ISSN
2515-2459
e-ISSN
2515-2467
Volume of the periodical
7
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
7
Pages from-to
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UT code for WoS article
001222800800001
EID of the result in the Scopus database
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