HELPING PEOPLE'S

Ashley Richards is a survey methodologist at RTI International. This post first appeared on SurveyPost on 29, July 2014.   Last fall at MAPOR  , Joe Murphy presented the findings of a fun study he did with our colleague, Justin Landwehr, and me. We asked survey respondents if we could look at their recent Tweets and combine them with their survey data. We took a subset of those respondents and masked their responses on six categorical variables. We then had three human coders and a machine algorithm try to predict the masked responses by reviewing the respondents’ Tweets and guessing how they would have responded on the survey. The coders looked for any clues in the Tweets, while the algorithm used a subset of Tweets and survey responses to find patterns in the way words were used. We found that both the humans and machine were better than random in predicting values of most of the variables. We recently took this research a step further and compared the accuracy of ...

Kathleen McNiff is a blogger with QSR International, the people that brought you NVivo. Get in touch with Kath on Twitter @ KMcNiff . Imagine you’re sitting on a qualitative goldmine—in-depth interviews, focus groups, intriguing survey results, nuanced observations and a comprehensive lit review.  All the traditional boxes are ticked and yet there’s the nagging feeling that something is missing.  Chances are, it’s social media—and that’s probably why you’re here.   The Challenges There are so many impassioned and revealing conversations taking place online that it’s becoming harder (and more dangerous) to ignore them.  But embracing social media is not straightforward and you may be grappling with questions such as:   How do I build social media into my research design? What platforms are worth concentrating on? How should I collect the data? What tools and methods should I use to analyse it? NVivo gives you a practical way to face these challenges.   NCa...