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Citing this Article

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Published on 08.12.14 in Vol 16, No 12 (2014): December

This paper is in the following e-collection/theme issue:

Works citing "Nonprobability Web Surveys to Measure Sexual Behaviors and Attitudes in the General Population: A Comparison With a Probability Sample Interview Survey"

Bob Erens, Sarah Burkill, Mick P Couper, Frederick Conrad, Soazig Clifton, Clare Tanton, Andrew Phelps, Jessica Datta, Catherine H Mercer, Pam Sonnenberg, Philip Prah, Kirstin R Mitchell, Kaye Wellings, Anne M Johnson, Andrew J Copas

J Med Internet Res 2014 (Dec 08); 16(12):e276 

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.3382):

(note that this is only a small subset of citations)

  1. Burkill S, Copas A, Couper MP, Clifton S, Prah P, Datta J, Conrad F, Wellings K, Johnson AM, Erens B, Cardoso MA. 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. PLOS ONE 2016;11(2):e0147983
    CrossRef
  2. MacInnis B, Krosnick JA, Ho AS, Cho M. The Accuracy of Measurements with Probability and Nonprobability Survey Samples: Replication and Extension. Public Opinion Quarterly 2018;82(4):707
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  3. . New Developments in Survey Data Collection. Annual Review of Sociology 2017;43(1):121
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  4. Inns T, Curtis D, Crook P, Vivancos R, Gardiner D, McCarthy N, Mook P. Are food exposures obtained through commercial market panels representative of the general population? Implications for outbreak investigations. Epidemiology and Infection 2019;147
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  5. Cornesse C, Blom AG, Dutwin D, Krosnick JA, De Leeuw ED, Legleye S, Pasek J, Pennay D, Phillips B, Sakshaug JW, Struminskaya B, Wenz A. A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research. Journal of Survey Statistics and Methodology 2020;8(1):4
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  6. Sturgis P, Williams J, Brunton-Smith I, Moore J. Fieldwork Effort, Response Rate, and the Distribution of Survey Outcomes. Public Opinion Quarterly 2017;81(2):523
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  7. Green N, Sherrard-Smith E, Tanton C, Sonnenberg P, Mercer CH, White PJ. Assessing local chlamydia screening performance by combining survey and administrative data to account for differences in local population characteristics. Scientific Reports 2019;9(1)
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  8. Anderssen N, Malterud K. Oversampling as a methodological strategy for the study of self-reported health among lesbian, gay and bisexual populations. Scandinavian Journal of Public Health 2017;45(6):637
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  9. Sakshaug JW, Schmucker A, Kreuter F, Couper MP, Singer E. Evaluating Active (Opt-In) and Passive (Opt-Out) Consent Bias in the Transfer of Federal Contact Data to a Third-Party Survey Agency. Journal of Survey Statistics and Methodology 2016;4(3):382
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  10. Friedland R, Afary J, Gardinali P, Naslund C. Love in the Middle East: The contradictions of romance in the Facebook World. Critical Research on Religion 2016;4(3):229
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  11. Geary RS, Tanton C, Erens B, Clifton S, Prah P, Wellings K, Mitchell KR, Datta J, Gravningen K, Fuller E, Johnson AM, Sonnenberg P, Mercer CH, Dalby AR. Sexual identity, attraction and behaviour in Britain: The implications of using different dimensions of sexual orientation to estimate the size of sexual minority populations and inform public health interventions. PLOS ONE 2018;13(1):e0189607
    CrossRef
  12. Legleye S, Charrance G, Razafindratsima N, Bajos N, Bohet A, Moreau C. The Use of a Nonprobability Internet Panel to Monitor Sexual and Reproductive Health in the General Population. Sociological Methods & Research 2018;47(2):314
    CrossRef
  13. Burkill S, Smith KA, Stridh P, Kockum I, Hillert J, Lindahl H, Alfredsson L, Olsson T, Piehl F, Montgomery S, Bahmanyar S. The DQB1*03:02 Genotype and Treatment for Pain in People With and Without Multiple Sclerosis. Frontiers in Neurology 2020;11
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  14. MOOK P, KANAGARAJAH S, MAGUIRE H, ADAK GK, DABRERA G, WALDRAM A, FREEMAN R, CHARLETT A, OLIVER I. Selection of population controls for aSalmonellacase-control study in the UK using a market research panel and web-survey provides time and resource savings. Epidemiology and Infection 2016;144(6):1220
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  15. Blom AG, Herzing JME, Cornesse C, Sakshaug JW, Krieger U, Bossert D. Does the Recruitment of Offline Households Increase the Sample Representativeness of Probability-Based Online Panels? Evidence From the German Internet Panel. Social Science Computer Review 2017;35(4):498
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  16. Mook P, McCormick J, Kanagarajah S, Adak GK, Cleary P, Elson R, Gobin M, Hawker J, Inns T, Sinclair C, Trienekens SCM, Vivancos R, McCarthy N. Online market research panel members as controls in case–control studies to investigate gastrointestinal disease outbreaks: early experiences and lessons learnt from the UK. Epidemiology and Infection 2018;146(4):458
    CrossRef
  17. Oakley-Girvan I, Lavista JM, Miller Y, Davis S, Acle C, Hancock J, Nelson LM. Evaluation of a Mobile Device Survey System for Behavioral Risk Factors (SHAPE): App Development and Usability Study. JMIR Formative Research 2019;3(1):e10246
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  18. Wang-Schweig M, Miller BA, Buller DB, Byrnes HF, Bourdeau B, Rogers V. Using Panel Vendors for Recruitment Into a Web-Based Family Prevention Program: Methodological Considerations. Evaluation & the Health Professions 2019;42(1):24
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  19. Frey K, Lociciro S, Blank P, Schwenkglenks M, Dubois-Arber F, Rosenbrock R, Lehner A, Staub R, Derendinger S, Schmidt A, Bize R, Kübler D, Low N. ‘Break the Chains 2015’ community-based HIV prevention campaign for men who have sex with men in Switzerland: non-randomised evaluation and cost analysis. BMJ Open 2020;10(1):e032459
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  20. Black JC, Rockhill K, Forber A, Amioka E, May KP, Haynes CM, Dasgupta N, Dart RC. An Online Survey for Pharmacoepidemiological Investigation (Survey of Non-Medical Use of Prescription Drugs Program): Validation Study. Journal of Medical Internet Research 2019;21(10):e15830
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  21. . Workshop Session: Maintaining Quality: Using Non-Probability web Surveys to Measure Sexual Behaviours and Attitudes in the British General Population: A Comparison with a Probability Sample Interview Survey. International Journal of Market Research 2015;57(2):300
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  22. Copas A, Burkill S, Conrad F, Couper MP, Erens B. An evaluation of whether propensity score adjustment can remove the self-selection bias inherent to web panel surveys addressing sensitive health behaviours. BMC Medical Research Methodology 2020;20(1)
    CrossRef
  23. Hemsworth LM, Rice M, Hemsworth PH, Coleman GJ. Telephone Survey Versus Panel Survey Samples Assessing Knowledge, Attitudes and Behavior Regarding Animal Welfare in the Red Meat Industry in Australia. Frontiers in Psychology 2021;12
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  24. Ferri-García R, Rueda MDM, Cabrera-León A. Self-Perceived Health, Life Satisfaction and Related Factors among Healthcare Professionals and the General Population: Analysis of an Online Survey, with Propensity Score Adjustment. Mathematics 2021;9(7):791
    CrossRef
  25. Schonlau M, Couper MP. Options for Conducting Web Surveys. Statistical Science 2017;32(2)
    CrossRef
  26. Sakshaug JW, Wiśniowski A, Ruiz DAP, Blom AG. Supplementing Small Probability Samples with Nonprobability Samples: A Bayesian Approach. Journal of Official Statistics 2019;35(3):653
    CrossRef
  27. . Use of Internet Longitudinal Survey. Japanese Sociological Review 2020;71(1):50
    CrossRef
  28. Dema E, Copas AJ, Clifton S, Conolly A, Blake M, Riddell J, Boso Perez R, Tanton C, Bonell C, Sonnenberg P, Mercer CH, Mitchell KR, Field N. Methodology of Natsal-COVID Wave 1: a large, quasi-representative survey with qualitative follow-up measuring the impact of COVID-19 on sexual and reproductive health in Britain. Wellcome Open Research 2021;6:209
    CrossRef
  29. Quigley AL, Trent M, Seale H, Chughtai AA, MacIntyre CR. Cross-sectional survey of changes in knowledge, attitudes and practice of mask use in Sydney and Melbourne during the 2020 COVID-19 pandemic. BMJ Open 2022;12(6):e057860
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  30. Stapleton P, Grimmett KT, Adsuar JC. Australian Community and Health Professionals Perceptions of Equine-Assisted Psychotherapy. Evidence-Based Complementary and Alternative Medicine 2021;2021:1
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  31. de Neve-Enthoven NGM, Callens N, van Kuyk M, Verhaak CM, van der Ende J, Drop SLS, Cohen-Kettenis PT, Dessens AB. Sexual Self-Concept in Women with Disorders/Differences of Sex Development. Archives of Sexual Behavior 2022;51(4):2213
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  32. Dema E, Conolly A, Willis M, Copas AJ, Clifton S, Blake M, Riddell J, Bosó Pérez R, Tanton C, Bonell C, Sonnenberg P, Mercer CH, Mitchell KR, Field N. Methodology of Natsal-COVID Wave 2: A large, quasi-representative, longitudinal survey measuring the impact of COVID-19 on sexual and reproductive health in Britain. Wellcome Open Research 2022;7:166
    CrossRef
  33. Pekari N, Lipps O, Roberts C, Lutz G. Conditional distributions of frame variables and voting behaviour in probability‐based surveys and opt‐in panels. Swiss Political Science Review 2022;28(4):696
    CrossRef
  34. Al-Haboubi M, Exley J, Allel K, Erens B, Mays N. One year of digital contact tracing: Who was more likely to install the NHS COVID-19 app? Results from a tracker survey in England and Wales. DIGITAL HEALTH 2023;9:205520762311594
    CrossRef
  35. McCarthy OL, Palmer MJ, Gubijev A, Wellings K, Mann S, Leon L, Callaghan F, Patterson S, French RS. Achieving proportional representation in a reproductive health survey through social media: process and recommendations. BMC Public Health 2022;22(1)
    CrossRef
  36. Legleye S, Charrance G. Sequential and Concurrent Internet-Telephone Mixed-Mode Designs in Sexual Health Behavior Research. Journal of Survey Statistics and Methodology 2023;11(1):75
    CrossRef
  37. Anderson RE, Cuccolo K. An Experimental Test of the Impact of Varying Questionnaire Response Format on Prevalence Rates for Sexual Violence Victimization and Perpetration. Journal of Interpersonal Violence 2022;37(23-24):NP23541
    CrossRef
  38. Sandberg DE, Gardner M. Differences/Disorders of Sex Development: Medical Conditions at the Intersection of Sex and Gender. Annual Review of Clinical Psychology 2022;18(1):201
    CrossRef
  39. Perriat D, Mertens E, Dreesman J. Use of a non-probabilistic online panel as a control group for case–control studies to investigate food and waterborne outbreaks in Lower Saxony, Germany. Epidemiology and Infection 2022;150
    CrossRef
  40. Barrios-Fernandez S, Gozalo M, Amado-Fuentes M, Carlos-Vivas J, Garcia-Gomez A. A Short Version of the EFECO Online Questionnaire for the Assessment of Executive Functions in School-Age Children. Children 2021;8(9):799
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  41. Sonnenberg P, Menezes D, Freeman L, Maxwell KJ, Reid D, Clifton S, Tanton C, Copas A, Riddell J, Dema E, Bosó Pérez R, Gibbs J, Ridge M, Macdowall W, Unemo M, Bonell C, Johnson AM, Mercer CH, Mitchell K, Field N. Intimate physical contact between people from different households during the COVID-19 pandemic: a mixed-methods study from a large, quasi-representative survey (Natsal-COVID). BMJ Open 2022;12(2):e055284
    CrossRef
  42. McGuire MF, Vakulenko-Lagun B, Millis MB, Almakias R, Cole EP, Kim HKW. What is the adult experience of Perthes’ disease?. Bone & Joint Open 2022;3(5):404
    CrossRef
  43. Brown CL, Venetis MK. Communicative Pathways Predicting Adherence in Type II Diabetic Patients: A Mediation Analysis. Health Communication 2023;38(13):3051
    CrossRef
  44. Mitchell KR, Shimonovich M, Bosó Pérez R, Dema E, Clifton S, Riddell J, Copas AJ, Tanton C, Macdowall W, Bonell C, Sonnenberg P, Mercer CH, Field N. Initial Impacts of COVID-19 on Sex Life and Relationship Quality in Steady Relationships in Britain: Findings from a Large, Quasi-representative Survey (Natsal-COVID). The Journal of Sex Research 2023;60(1):1
    CrossRef
  45. Dema E, Copas AJ, Clifton S, Conolly A, Blake M, Riddell J, Boso Perez R, Tanton C, Bonell C, Sonnenberg P, Mercer CH, Mitchell KR, Field N. Methodology of Natsal-COVID Wave 1: a large, quasi-representative survey with qualitative follow-up measuring the impact of COVID-19 on sexual and reproductive health in Britain. Wellcome Open Research 2022;6:209
    CrossRef
  46. Mitchell KR, Willis M, Dema E, Baxter AJ, Connolly A, Riddell J, Bosó Pérez R, Clifton S, Gibbs J, Tanton C, Geary R, Ratna N, Mohammed H, Unemo M, Bonell C, Copas A, Sonnenberg P, Mercer CH, Field N. Sexual and reproductive health in Britain during the first year of the COVID-19 pandemic: cross-sectional population survey (Natsal-COVID-Wave 2) and national surveillance data. Sexually Transmitted Infections 2023;99(6):386
    CrossRef
  47. . Inference with non-probability samples and survey data integration: a science mapping study. METRON 2023;81(1):83
    CrossRef
  48. de Graaf H, Mitchell K, Clifton S, Lara MF, Dewaele A, Dupont J, Klapilova K, Lazdāne G, Briken P, Træen B, Bajos N, Ljungcrantz D, Kontula O. Sex Surveys in Europe: Reflections on over Four Decades of Sexual Behavior and Sexual Health Surveillance. The Journal of Sex Research 2023;60(7):1020
    CrossRef
  49. Dema E, Conolly A, Willis M, Copas AJ, Clifton S, Blake M, Riddell J, Bosó Pérez R, Tanton C, Bonell C, Sonnenberg P, Mercer CH, Mitchell KR, Field N. Methodology of Natsal-COVID Wave 2: A large, quasi-representative, longitudinal survey measuring the impact of COVID-19 on sexual and reproductive health in Britain. Wellcome Open Research 2024;7:166
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/jmir.3382):

  1. Awaworyi Churchill S, Farrell L, Ocloo JE. Moving from the Millennium to the Sustainable Development Goals. 2020. Chapter 6:95
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