Date: Thursday, January 28th
Time: 11:00am – 12:00pm EST
Mention priority code MWS0019BLOG
Can Advanced Statistical Techniques Be Applied to Qualitative Data?
* Are you familiar with factor analysis?
* How about color analysis of images?
* Have you ever applied quantitative analysis to qualitative or projective techniques?
Traditionally, online research has been purely quantitative and focused primarily on numeric data. While qualitative research highlights thematic and sub-conscious learning, sometimes fuzzier findings or unstructured data. However, as qualitative and projective techniques are used online with more robust sample sizes, new ways to analyze the data emerge. Sometime you get surprising results.
For nearly 10 years, BuzzBack has been pioneering innovative online qualitative techniques, developing award-winning ways to collect and analyze online qualitative data. Our techniques, including eCollageTM and Verbatim ViewerTM, have been recognized by today’s leading research organizations.
Through a case study approach, this webinar will highlight new ways you can analyze unstructured data ‘ even applying traditionally quantitative approaches. You’ll learn:
* What factor analysis is and how it’s traditionally used
* How factor analysis can be applied to qualitative findings
* Ways color analysis can be applied to online collaging
Join Allan Due, VP Research Analytics of BuzzBack, and explore new ways to find meaning in fuzzy data.
Allan has over 10 years’ experience in Marketing Research. Prior to working at BuzzBack, Allan was VP, New Products and Databases at Ipsos-ASI where he planned, developed, and implemented New Product initiatives including Next-Idea; An Online Kids Test to measure ad effectiveness and Online Modeled Reach Measures. Allan was also responsible for all Online testing methodologies at Ipsos-ASI. Prior to that Allan was a professor at Fordham University for 6 years where he was the Director of the Psychometrics program. Allan completed Ph.D. programs in Psychometrics and Counseling Psychology at the University of Minnesota.