Tag: Bayes
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Should you analyse ordinal data like interval or ratio data?
A couple of months ago, I wrote a summary of a recent paper arguing you shouldn’t analyse ordinal data like interval or ratio. If you do so, there’s a risk of inflated Type I and Type II error rates, as well as reduced power [zotpressInText item=”{VD8XETGZ}”][note]Open access version here[/note]. In response, Helen Wauck wrote a […]
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Don’t be tempted to analyse ordinal data like interval or ratio!
Ordinal scales are everywhere in psychology. From mood ratings to pain scales, they are one of the most prevalent tools in the field. They frequently appear in other domains e.g. medicine, education, etc. and most often appear as Likert scales. These scales require participants to give a score (along an increasing scale) in response to […]
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Essential R packages for education researchers
The intention behind this is to create an updating well of R resources for scientists who focus on education research. If you have any more suggestions please write a comment below or contact me on social media and I’ll add them. Data manipulation and visualization Tidyverse (Sam Parsons)- A collection of packages which allow for comprehensive data […]
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Notes on Paul Meehl’s “Philosophical Psychology Session” #02
These are the notes I made whilst watching the video recording of Paul Meehl’s philosophy of science lectures. This is the second episode (a list of all the videos can he found here). Please note that these posts are not designed to replace or be used instead of the actual videos (I highly recommend you watch […]