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To collect better data. What does it mean?
Everybody has an opinion. We do too.
In this presentation, we focus on the multi-mode aspect. Listen to this session to get insights in adopting an authentic mode-independent approach to designing your studies and how it can significantly improve data accuracy across your organization.
Why think outside of the mode? A multi-mode strategy enables researchers to meet their target demographics and control data collection operations to minimize costs and/or project schedules.
The mix of technology allows phone interviewing to be added at any point in the study without compromising the performance of either collection mode. Field operations have access to the right tool for each job at any time. Researchers gain the flexibility to design data collection strategies that suit each job rather than suit the technologies at hand.
There are five main quantitative methods used today: in-person interview, phone interview, IVR interview, online questionnaire, and paper questionnaire mailed to the recipient.
We will focus on how the right combination of these methods can significantly impact the accuracy of your result.
We will touch upon aspects like:
Researchers have tried abandoning or reducing phone-based data collection because spanning technologies and managing the mix of technologies and organizations has been proven difficult to manage. However, technology barriers are coming down and researchers should consider the strategic value of phone research to reach seniors, minorities and other vital segments.
Without the phone in the mix (CATI or IVR), specific demographics have suffered under-representation.
Data collection strategies that embrace a multi-mode approach can enable researchers to break out of any boxes, silos or myopic policies and allow them to field research any way they want.
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