Collaborating on Quality to Prevent Data Disasters
All sample sources are not created equal. Some may be tainted with latent characteristics that could severely affect your research outcomes. What can you do?
Learn to identify these latent characteristics within commercially-available sample sources.
DM2, along with top buyers of global sample, have collaborated to design the first independent, industry-wide sample benchmark questionnaire.
This tool scores sample sources on respondent quality while measuring the latent characteristics that could threaten outcomes, including over-representation of tech early adopters, too few users of generic brands, etc.
With three quarters of data collected for more than 50 sources across three countries, this presentation will share fascinating findings concerning sample and data quality, findings that can make you a better researcher when you walk out the door.
