Technology and Strategies for Improving Survey Data Quality and Fieldwork Efficiency.
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Daniel Montalvo from Vanderbilt University shared his experience conducting research in rural and hard to navigate environments in American Association for Public Opinion Research's webinar on enhancing survey quality in the Global South.
This comprehensive case study features the implementation of solutions to these key challenges at LAPOP’s AmericasBarometer. Key strategies include:
- Predictive Quality Control: Automated systems that flag suspicious interviews based on predetermined rules, significantly enhancing the efficiency of quality control processes.
- Real-Time Field Management: Utilizing smart geofencing and real-time data validation to monitor fieldwork progress, ensuring adherence to research protocols.
- Best practices for Assessing Interview Quality: Utilizing objective metrics to provide a quality score to each interview.
Implementing these solutions resulted in a substantial improvement in research outcomes for the AmericasBarometer survey. These advancements have enhanced the reliability of the data collected and optimized operational efficiency.
This presentation showcases how leveraging advanced technology and strategic partnerships can transform opinion research in the Global South, addressing core challenges in data quality and fieldwork efficiency.
