Evidence map›Paper›PMID 26866687›Full record

ArticlePloS one2016

Using the Web to Collect Data on Sensitive Behaviours: A Study Looking at Mode Effects on the British National Survey of Sexual Attitudes and Lifestyles.

Sarah Burkill, Andrew Copas, Mick P Couper, Soazig Clifton, Philip Prah, Jessica Datta, Frederick Conrad, Kaye Wellings, Anne M Johnson, Bob Erens

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

35 citing papers in PubMed.

  1. Observational
  2. Article
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  6. Article
  7. Changes in Solo and Partnered Sexual Behaviors following the First COVID-19 Wave: Data from an International Study of 26 Countries.International journal of sexual health : official journal of the World Association for Sexual Health · 2023
    Article
  8. Psychological, Socio-Demographic, and Logistical Factors Associated With Changes in Sex Life After Over a Year Into the COVID-19 Pandemic.International journal of sexual health : official journal of the World Association for Sexual Health · 2023
    Article
  9. Article
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  19. Health-risk behaviors among Iranian university students, 2019: a web-based survey.Archives of public health = Archives belges de sante publique · 2020
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Sarah BurkillResearch Department of Infection and Population Health, University College London, London, United Kingdom.
Andrew CopasResearch Department of Infection and Population Health, University College London, London, United Kingdom.
Mick P CouperInstitute for Social Research, University of Michigan, Ann Arbor, United States of America.
Soazig CliftonResearch Department of Infection and Population Health, University College London, London, United Kingdom.
Philip PrahResearch Department of Infection and Population Health, University College London, London, United Kingdom.
Jessica DattaDepartment of Social and Environmental Research, London School of Hygiene and Tropical Medicine, London, England.
Frederick ConradInstitute for Social Research, University of Michigan, Ann Arbor, United States of America.
Kaye WellingsDepartment of Social and Environmental Research, London School of Hygiene and Tropical Medicine, London, England.
Anne M JohnsonResearch Department of Infection and Population Health, University College London, London, United Kingdom.
Bob ErensResearch Department of Infection and Population Health, University College London, London, United Kingdom.

Funding

Medical Research Council G0701757Wellcome TrustWellcome Trust 084840
6 · The paper itself

Abstract

backgroundInterviewer-administered surveys are an important method of collecting population-level epidemiological data, but suffer from declining response rates and increasing costs. Web surveys offer more rapid data collection and lower costs. There are concerns, however, about data quality from web surveys. Previous research has largely focused on selection biases, and few have explored measurement differences. This paper aims to assess the extent to which mode affects the responses given by the same respondents at two points in time, providing information on potential measurement error if web surveys are used in the future.

methods527 participants from the third British National Survey of Sexual Attitudes and Lifestyles (Natsal-3), which uses computer assisted personal interview (CAPI) and self-interview (CASI) modes, subsequently responded to identically-worded questions in a web survey. McNemar tests assessed whether within-person differences in responses were at random or indicated a mode effect, i.e. higher reporting of more sensitive responses in one mode. An analysis of pooled responses by generalized estimating equations addressed the impact of gender and question type on change.

resultsOnly 10% of responses changed between surveys. However mode effects were found for about a third of variables, with higher reporting of sensitive responses more commonly found on the web compared with Natsal-3.

conclusionsThe web appears a promising mode for surveys of sensitive behaviours, most likely as part of a mixed-mode design. Our findings suggest that mode effects may vary by question type and content, and by the particular mix of modes used. Mixed-mode surveys need careful development to understand mode effects and how to account for them.

Indexed as

AttitudeInternetSexual BehaviorAdolescentAdultAgedData CollectionFemaleHealth SurveysHumansLife StyleMaleMiddle AgedSex FactorsSocial ClassSurveys and Questionnaires

Identifiers

PMID26866687
PMCPMC4750932

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.