An Updated Protocol to Detect Invalid Entries in an Online Survey of Men Who Have Sex with Men (MSM): How Do Valid and Invalid Submissions Compare?
Researchers use protocols to screen for suspicious survey submissions in online studies. We evaluated how well a de-duplication and cross-validation process detected invalid entries. Data were from the Sexually Explicit Media Study, an Internet-based HIV prevention survey of men who have sex with me...
| Publicado en: | AIDS & Behavior Vol. 19; no. 10; pp. 1928 - 1938 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Springer Nature
Oct2015
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=109345075&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 109345075 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10907165 G1T jtl: AIDS & Behavior issn: 10907165 maglogo: N pubinfo: dt: Oct2015 vid: 19 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 109345075 109345075 109345075 10.1007/s10461-015-1033-y 109345075 ppf: 1928 ppct: 10 formats: fmt: @attributes: type: P tig: atl: An Updated Protocol to Detect Invalid Entries in an Online Survey of Men Who Have Sex with Men (MSM): How Do Valid and Invalid Submissions Compare? aug: au: Grey, Jeremy Konstan, Joseph Iantaffi, Alex Wilkerson, J. Galos, Dylan Rosser, B. affil: Department of Epidemiology, Rollins School of Public Health, Emory University, 1518 Clifton Rd. NE Atlanta 30322 USA sug: subj: Gay Men Surveys Internet Data Collection HIV Infections Prevention and Control Human Male Odds Ratio Research Protocols Reproducibility of Results Male ab: Researchers use protocols to screen for suspicious survey submissions in online studies. We evaluated how well a de-duplication and cross-validation process detected invalid entries. Data were from the Sexually Explicit Media Study, an Internet-based HIV prevention survey of men who have sex with men. Using our protocol, 146 (11.6 %) of 1254 entries were identified as invalid. Most indicated changes to the screening questionnaire to gain entry (n = 109, 74.7 %), matched other submissions' payment profiles (n = 56, 41.8 %), or featured an IP address that was recorded previously (n = 43, 29.5 %). We found few demographic or behavioral differences between valid and invalid samples, however. Invalid submissions had lower odds of reporting HIV testing in the past year (OR 0.63), and higher odds of requesting no payment compared to check payments (OR 2.75). Thus, rates of HIV testing would have been underestimated if invalid submissions had not been removed, and payment may not be the only incentive for invalid participation. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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