Cited by 2,932Survey Methodology and NonresponseMobile Crowdsensing and CrowdsourcingFocus Groups and Qualitative Methods

Should We Trust Web-Based Studies? A Comparative Analysis of Six Preconceptions About Internet Questionnaires.

Gosling, Samuel D., Vazire, Simine, Srivastava, Sanjay, John, Oliver P.·2004·American Psychologist

Abstract

The rapid growth of the Internet provides a wealth of new research opportunities for psychologists. Internet data collection methods, with a focus on self-report questionnaires from self-selected samples, are evaluated and compared with traditional paper-and-pencil methods. Six preconceptions about Internet samples and data quality are evaluated by comparing a new large Internet sample (N = 361,703) with a set of 510 published traditional samples. Internet samples are shown to be relatively diverse with respect to gender, socioeconomic status, geographic region, and age. Moreover, Internet findings generalize across presentation formats, are not adversely affected by nonserious or repeat responders, and are consistent with findings from traditional methods. It is concluded that Internet methods can contribute to many areas of psychology.

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Crossref · 10.1037/0003-066x.59.2.93

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70 of 70 references verified0 citation errors · 0 not checkable

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  • The proportion of females (62%) to males in this study was more representative than in traditional survey methods, where women often comprise 71% to 77% of participants.

    “The proportion of females (62%) to males in this study was more representative than in traditional survey methods, where women often comprise 71% to 77% of the participants [39]”
  • Self-presentation is an unlikely confound in Study 1 because the motivation to self-present is absent when participants feel anonymous, as they do in anonymous online studies.

    “Self-presentation is an unlikely confound in Study 1 because the motivation to self-present is absent when participants feel anonymous (Paulhus, 1984(Paulhus, , 1991) ) as they do in anonymous online studies such as the present one, where they don't provide identifying information (Gosling et al., 2004).”
  • The reliability and validity of internet data collection has become increasingly clear in recent years.

    “As described in the Appendix, the reliability and validity of internet data collection has become increasingly clear in recent years.”

    From Spacing Effects in Learning: A Temporal Ridgeline of Optimal Retention (2008) · cites this paper as Gosling et al., 2004

  • The validity of internet testing has been well supported in recent reviews, with excellent correspondence between results obtained with internet samples and results obtained in the laboratory.

    “The validity of internet testing has been well supported in recent reviews (Gosling et al., 2004), with excellent correspondence between results obtained with internet samples are results obtained in the laboratory (e.g., Birnbaum, 1999;Krantz & Dalal, 2000;McGraw, Tew, & Williams, 2000;Reips, 2002).”

    From Spacing Effects in Learning: A Temporal Ridgeline of Optimal Retention (2008) · cites this paper as Gosling et al., 2004

  • Previous research has suggested populations for online studies and Facebook are quite representative.

    “Furthermore, previous research has suggested populations for online studies and Facebook are quite representative [23], [24].”

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Authors
Gosling, S. D., Vazire, S., Srivastava, S., & John, O. P.
Affiliations
  • The University of Texas at Austin (US)
  • Stanford University (US)
  • University of California, Berkeley (US)
Venue
American Psychologist
Published
2004
Volume
59
Issue
2
Pages
93-104
ISSN
  • 0003-066X (ISSN-L)
  • 1935-990X
OpenAlex
W1992490637
Cited by
2,932
References
72
Citations by year
2026: 40 · 2025: 64 · 2024: 72 · 2023: 85 · 2022: 123 · 2021: 135 · 2020: 157 · 2019: 163 · 2018: 148 · 2017: 170 · 2016: 181 · 2015: 192 · 2014: 218 · 2013: 184 · 2012: 189
FWCI
261.73
Type
journal article
Language
en
Open access
closed
Locations
  • American Psychologist (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
  • Physical Sciences › Computer Science › Computer Science Applications › Mobile Crowdsensing and Crowdsourcing
  • Social Sciences › Sociology and Political Science › Focus Groups and Qualitative Methods
Keywords
online data collection, paper-and-pencil questionnaires, sample representativeness, data quality, response format effects, generalizability, self-report questionnaire
MeSH terms
Adult, Aged, Attitude, Female, Humans, Male, Middle Aged, Psychology, Surveys and Questionnaires, Evidence-Based Medicine, Internet

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