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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

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50101 - Psychology (including human - machine relations)

Result continuities

  • Project

  • 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

  • UT code for WoS article

    001222800800001

  • EID of the result in the Scopus database