The influence of interviewers on survey responses among female sex workers in Zambia
Interviewers can substantially affect self-reported data. This may be due to random variation in interviewers’ ability to put respondents at ease or in how they frame questions. It may also be due to systematic differences such as social distance between interviewer and respondent (e.g., by age, gen...
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| Hauptverfasser: | , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
15 March 2019
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| In: |
BMC medical research methodology
Year: 2019, Jahrgang: 19, Pages: 1-12 |
| ISSN: | 1471-2288 |
| DOI: | 10.1186/s12874-019-0703-2 |
| Online-Zugang: | Verlag, Volltext: https://doi.org/10.1186/s12874-019-0703-2
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| Verfasserangaben: | Guy Harling, Michael M. Chanda, Katrina F. Ortblad, Magdalene Mwale, Steven Chongo, Catherine Kanchele, Nyambe Kamungoma, Leah G. Barresi, Till Bärnighausen and Catherine E. Oldenburg |
| Zusammenfassung: | Interviewers can substantially affect self-reported data. This may be due to random variation in interviewers’ ability to put respondents at ease or in how they frame questions. It may also be due to systematic differences such as social distance between interviewer and respondent (e.g., by age, gender, ethnicity) or different perceptions of what interviewers consider socially desirable responses. Exploration of such variation is limited, especially in stigmatized populations. |
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| Beschreibung: | Gesehen am 08.04.2019 |
| Beschreibung: | Online Resource |
| ISSN: | 1471-2288 |
| DOI: | 10.1186/s12874-019-0703-2 |