I 2018 deltog ansatte i Folketinget i en arbejdspladsvurdering (APV). I Politiken kritiserer jeg sammen med andre eksperter det metodiske grundlag for denne undersøgelse. Konkret udtaler jeg: Det virker til at være et utroligt dårligt formuleret spørgsmål, som jeg generelt ville være meget, meget påpasselig med at bruge til at sige, at der ikke skulle […]
Category: statistics
Problems with the Big Five assessment in the World Values Survey #2
In 2017, I published a study in Personality and Individual Differences with Steven G. Ludeke. Our motivation for conducting the study was that other studies uncritically used the Big Five data in the World Values Survey without evaluating the reliability of the data. In brief, and to recap, the data was unable to capture inter-individual […]
Reproduce before you replicate
There is an important distinction between reproduction and replication in scientific research. Reproduction is when you use the same data from a study to (re)produce the findings in that particular study. Replication is when you use different data to examine whether you will get the same results (i.e. cross-validation). I often think about this distinction […]
Does being tall raise the risk of getting COVID-19?
Take a look at these articles from various media outlets: – People over 6ft have double the risk of coronavirus, study suggests – Does being tall raise the risk of getting Covid-19? Men over 6ft are TWICE as likely to get infected, study claims – How your HEIGHT could double your risk of catching coronavirus, […]
Potpourri: Statistics #66
697. How To Read 2020 Polls Like A Pro 698. Visualizing Complex Science 699. What is machine learning, and how does it work? 700. Choosing Fonts for Your Data Visualization 701. Why linear mixed-effects models are probably not the solution to your missing data problems 702. Outstanding User Interfaces with Shiny 703. How I Taught […]