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| Pilot-getestete API-basierte Datenerfassung× | Pilotgetestete Umfrage× | |
|---|---|---|
| Fachgebiet | Umfragemethodik | Umfragemethodik |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 2000s–2010s | Widely formalised from the 1970s-1980s |
| Urheber≠ | Convergence of survey pilot-testing tradition (Presser et al., 2004) and computational social science API methods (Salganik, 2018) | Systematic practice codified by Jean M. Converse and Stanley Presser |
| Typ≠ | Applied data-collection variant | Survey design and validation procedure |
| Wegweisende Quelle≠ | Salganik, M. J. (2018). Bit by Bit: Social Research in the Digital Age. Princeton University Press. ISBN: 978-0691158648 | Converse, J. M., & Presser, S. (1986). Survey Questions: Handcrafting the Standardized Questionnaire. Sage. ISBN: 978-0803925557 |
| Aliasnamen | pilot API data collection, pre-tested API harvesting, API data collection pilot study, pilot-validated API scraping | pre-tested survey, survey pre-testing, questionnaire pilot study, survey field test |
| Verwandt≠ | 4 | 6 |
| Zusammenfassung≠ | Pilot-tested API-based data collection is a structured digital data-gathering approach in which a researcher designs an API query or harvesting script and then runs a small-scale trial before executing the full collection. The pilot phase exposes authentication issues, rate-limit constraints, schema inconsistencies, and coverage gaps, enabling targeted refinements that protect the integrity and completeness of the final dataset. It bridges the software-engineering practice of integration testing with the social-science tradition of instrument pre-testing. | A pilot-tested survey is a structured questionnaire that has been administered to a small, representative sample before the main data-collection phase. The purpose is to detect problems with wording, response options, skip logic, or timing, allowing the researcher to refine the instrument before it reaches the full sample. Pilot testing is not a separate research design; it is a quality-assurance step embedded within survey methodology that substantially reduces measurement error. |
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