Want to Amp Up Your Survey Data Quality?

Could your survey data quality be improved by using mixed-mode
data collection?

What is mixed-mode data collection?

Mixed-mode data collection means combining different approaches, such as online, telephone, webcam, face-to-face, or paper-based modes to gather data from survey participants. The purpose of mixed-mode data collection is to improve response rates, data quality, and participant engagement by accommodating participants' preferences or reaching those who may not respond through a single mode.

How do we decide if it is suitable for upcoming survey projects?

Honestly, it is a complex decision. Mixed-mode data collection can, in some cases, notably amp up survey data quality. But it can also require more time and budget to execute. For researchers surveying hard-to-find populations or for those who

are otherwise concerned about low response rates, it is often a valuable option.

Get the infographic.Instant download!

So to help you determine if mixed-mode data collection should be added to your team's survey research repertoire, we prepared a 1-page infographic summary of related experiments and articles from several excellent sources.

Should you be doing more with mixed-mode data collection? And if so, what risks should you be prepared to mitigate? The research includes pros & cons related to bias, representivity, and analysis complexity due to mode effects.

Who is Research Rockstar Training?

Research Rockstar Training offers the largest catalog of eLearning courses for the Market Research and Insights profession.

We've trained over 2,500 market research professionals.

Multiple Fortune 500 companies come to us for their market research training needs.

Our instructors have a wide range of experience in both small and large companies. Combined, our instructors have 20+ certificates and graduate degrees.

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