Literature DB >> 19921078

Advantages and limitations of web-based surveys: evidence from a child mental health survey.

Einar Heiervang1, Robert Goodman.   

Abstract

BACKGROUND: Web-based surveys may have advantages related to the speed and cost of data collection as well as data quality. However, they may be biased by low and selective participation. We predicted that such biases would distort point-estimates such as average symptom level or prevalence but not patterns of associations with putative risk-factors.
METHODS: A structured psychiatric interview was administered to parents in two successive surveys of child mental health. In 2003, parents were interviewed face-to-face, whereas in 2006 they completed the interview online. In both surveys, interviews were preceded by paper questionnaires covering child and family characteristics.
RESULTS: The rate of parents logging onto the web site was comparable to the response rate for face-to-face interviews, but the rate of full response (completing all sections of the interview) was much lower for web-based interviews. Full response was less frequent for non-traditional families, immigrant parents, and less educated parents. Participation bias affected point estimates of psychopathology but had little effect on associations with putative risk factors. The time and cost of full web-based interviews was only a quarter of that for face-to-face interviews.
CONCLUSIONS: Web-based surveys may be performed faster and at lower cost than more traditional approaches with personal interviews. Selective participation seems a particular threat to point estimates of psychopathology, while patterns of associations are more robust.

Entities:  

Mesh:

Year:  2009        PMID: 19921078     DOI: 10.1007/s00127-009-0171-9

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


  15 in total

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2.  Features associated with the non-participation and drop out by socially-at-risk children and adolescents in mental-health epidemiological studies.

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Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2005-06       Impact factor: 4.328

6.  Psychometric properties of the strengths and difficulties questionnaire.

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Journal:  J Am Acad Child Adolesc Psychiatry       Date:  2001-11       Impact factor: 8.829

7.  The relative importance of child, family, school and neighbourhood correlates of childhood psychiatric disorder.

Authors:  Tamsin Ford; Robert Goodman; Howard Meltzer
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2004-06       Impact factor: 4.328

8.  When epidemiology meets the Internet: Web-based surveys in the Millennium Cohort Study.

Authors:  Besa Smith; Tyler C Smith; Gregory C Gray; Margaret A K Ryan
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9.  The Nordic advantage in child mental health: separating health differences from reporting style in a cross-cultural comparison of psychopathology.

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Journal:  J Child Psychol Psychiatry       Date:  2008-06       Impact factor: 8.982

10.  Selective drop-out in longitudinal studies and non-biased prediction of behaviour disorders.

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Journal:  Br J Psychiatry       Date:  2009-09       Impact factor: 9.319

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Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2010-04-09       Impact factor: 4.328

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9.  Online child and adolescent mental health surveys can be good enough.

Authors:  Robert Goodman
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2013-02-02       Impact factor: 4.328

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