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Is your qualitative research helpful or harmful? | New White Paper from L&E

DWG Admin on October 24, 2019

White Paper Download

Is your qualitative research helpful or harmful?

Recent trends in the market research industry show that more and more researchers are looking to quantitative panels to complete qualitative research. The hope is that quant panels will reduce costs and save time, but are they actually faster and cheaper, and what is the quality of the data they generate?

With new research by Insight and Measurement’s David F. Harris and L&E’s Renee Wyckoff, and an in-depth interview with Procter & Gamble’s Tia Maurer, our paper proves that completing qual research without a specialized company poses a serious threat to data quality.

To continue reading, download our latest white paper, by clicking here (no form to fill out).

Who Cares about Data Quality?

DWG Admin on June 26, 2019

Want to learn what the leaders in our industry are doing to get better data, and therefore, getting better insights? Do you want them to explain how they improved their data as a result of actual research they performed to understand consumer behavior and study flaws to deliver better research outcomes? 

We will welcome a group scientist from Procter and Gamble, an author and noted expert on creating better quantitative research through better survey instruments, and our own Research Design Engineer as our guest speakers in this discussion.

In this webinar you will learn about:
  • Practical tips you can utilize to improve both your qualitative & quantitative research. Our experts will give you “lessons learned” and fresh data from recent studies they’ve performed that will immediately improve your research.
  • The emotional drivers behind why consumers engage in research (hint, its more than just the money or survey points!) Our speakers will share how researchers can tap into that “something more” so they get better research (and…lower costs!).
  • The differences in data participants (panels) and why the right source of participants makes all the difference in your research outcomes.
  • Online data quality and how to identify good responses (vs. the host of bad actors that can negatively skew your results). What is going on with your survey that is impacting survey quality, and how can you stop it?

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