Using Topic Modelling to learn from Open Questions in Surveys

Another presentation I gave at the General Online Research (GOR) conference in March1, was on our first approach to using topic modelling at SKOPOS: How can we extract valuable information from survey responses to open-ended questions automatically? Unsupervised learning is a very interesting approach to this question — but very hard to do right.

Continue reading “Using Topic Modelling to learn from Open Questions in Surveys”

Replicability in Online Research

At the GOR conference in Cologne two weeks ago, I had the opportunity to give a talk on replicability in Online Research. As a PhD student researching this topic and working as a data scientist in market research, I was very happy to have the opportunity to give my thoughts on how the debate in psychological science might transfer to online and market research.

The GOR conference is quite unique since the audience is about half academics and half commercial practitioners from market research. I noticed my filter bubble, when only about a third of the audience knew about the “replicability crisis in psychology” (Pashler & Wagenmakers, 2012; Pashler & Harris, 2012).

Continue reading “Replicability in Online Research”