Can third-party help improve data quality in research interviews? A natural experiment in a hard-to-study population
| Autor: | Melissa Quetulio-Navarra, Anke Niehof, Wander van der Vaart |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2015 |
| Předmět: |
Natural experiment
Data collection Third party business.industry media_common.quotation_subject Philippines Survey research WASS Sociology of Consumption and Households Public relations Natural field Affect (psychology) involuntary resettlement Sociologie van Consumptie en Huishoudens vulnerable population Anthropology Data quality Quality (business) third-party help Psychology business calendar method Social psychology media_common |
| Zdroj: | Field Methods, 27(4), 426-440 Field Methods 27 (2015) 4 |
| ISSN: | 1525-822X |
| Popis: | In some survey research settings, it may be not attainable or optimal to interview individual respondents without involving bystanders or third parties in the interview. Due to complex living circumstances or group culture, respondents may be helped by others in answering questions. However, this involvement of third parties raises questions about data quality and poses a challenge to the data collection process. Recognizing this, a natural field experiment was embedded in an urban resettlement study in the Philippines that allowed for spontaneous third-party help during certain parts of the interview. Using an event history calendar, data were gathered on numbers (of household-related transitions), names (of community leaders), and dates (years of public services). Quality of data was assessed and compared for the “ with help” and “ without help” conditions. The results showed that third-party help did not negatively affect data quality but rather improved it for most issues. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|