Author: neurotroph

  • 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.

  • Replicability in Online Research

    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 […]

  • New Preprint: Does it Actually Feel Right?

    New Preprint: Does it Actually Feel Right?

    In a recent post, I mentioned a replication study we performed. We have now finalised the manuscript and uploaded it as a pre-print to PsyArXiv. Update (25.04.2018): The paper is now published at Royal Society Open Science and available here.

  • p-hacking destroys everything (not only p-values)

    In the context of problems with replicability in psychology and other empirical fields, statistical significance testing and p-values have received a lot of criticism. And without question: much of the criticism has its merits. There certainly are problems with how significance tests are used and p-values are interpreted.1 However, when we are talking about “p-hacking”, […]

  • Book Review: Everybody Lies

    I rarely read pop-sci books, and I even more rarely review books in any form. However, I bought „Everybody Lies“ some months ago and just finished reading it. It took me about four months to read it, partly because it made me so angry as a researcher reading it.

  • Introduction to Bayesian Statistics (Slides in German)

    Recently, I had the opportunity to give a lecture on Bayesian statistics to a semester of Psychology Master students at the University of Bonn. The slides, which are in German, I’d like to share here for interested readers. 

  • ReplicationBF: An R-Package to calculate Replication Bayes Factors

    Some months ago I’ve written a manuscript how to calculate Replication Bayes factors for replication studies involving F-tests as is usually the case for ANOVA-type studies. After a first round of peer review, I have revised the manuscript and updated all the R scripts. I have a written a small R-Package to have all functions […]

  • Predicting EVE Online item sales (BVM Data Science Cup 2017)

    This year, the BVM (German professional association for market and social researchers), hosted their first Data Science Cup. There were four tasks involving the prediction of sales data for the online sci-fi game “EVE Online”. It was my first year working in market research and applying statistics and machine learning algorithms in a real-world context. […]

  • Thoughts on the Universality of Psychological Effects

    Most discussed and published findings from psychological research claim universality in some way. Especially for cognitive psychology it is the underlying assumption that all human brains work similarly — an assumption not unfounded at all. But also findings from other fields of psychology such as social psychology claim generality across time and place. It is […]

  • Critiquing Psychiatric Diagnosis

    I came across this great post at the Mind Hacks blog by Vaughan Bell, which is about how we talk about psychiatric diseases, their diagnosis and criticising their nature. Debating the validity of diagnoses is a good thing. In fact, it’s essential we do it. Lots of DSM diagnoses, as I’ve argued before, poorly predict […]