I’m not proud of this, but I must admit, I’m a 90%er. A drop-out. A MOOC drop-out, that is. In the bottom 10% of my class. According to my stats, readers of this blog were excited about the post “Can a DataViz Novice Become a Slide Snob?” in which I announced that I had registered for the popular Massive Open Online Course (MOOC) “Introduction to Infographics and Data Visualization.” In fact, that link was the most clicked link from this blog thus far. Continue reading
As is evidenced in recent posts co-authored with fellow blogger Kim Firth Leonard of actionable data (read them here and here), I’m fascinated with surveys and survey research. Just last week another fellow blogger, Brian Hoessler, of Strong Roots Consulting offered this post on open-ended questions.
I shared with Brian that I recently saw a needs assessment instrument composed of all open-ended questions – maybe a dozen or so questions in all. I always wonder when I encounter surveys with open-ended questions whether the qualitative data collected is indeed systematically analyzed and not just scanned or read through, especially in the case of very brief responses to open-ended questions. If data are analyzed, I wonder what kinds of coding strategies evaluators use – inductive or deductive? Constant comparison? Grounded theory? Continue reading