Tag: Methodology
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Best reads of 2021
As usual, I wanted to share some of the things I really enjoyed in 2021. It’s mainly books and articles but there are a few podcasts thrown in for good measure1. My thesis took over the entirety of the first half of the year and then the summer was celebrating being able to spend time…
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Open qualitative research resource and ideas collection
A few years ago, I was completely dismissive of qualitative research. I didn’t think it could tell us much and didn’t value qualitative work or findings. However, I’ve experienced a full 180 degree spin on my stance. I now appreciate qualitative work and the insights it brings. Inspired by Hans IJzerman’s tweet thread, I’ve collected…
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Should we retire nominal, ordinal, interval, & ratio levels of measurement?
One of the first things all psychology students are taught is levels of measurement. Every student must wrap their heads around the four different forms data can take: nominal, ordinal, interval, or ratio. These are the bedrock of a lot of students’ understanding of measurement, including mine. I didn’t realise there were questions about their…
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Best reads of 2019
This is a collection of some of the best things I’ve read this year. Organised alphabetically, they cover a wide range of topics. Hopefully you’ll find them as interesting as I did! Comment saying what you really enjoyed reading, I’ll check it out, and may even add it to my list. Culture ‘Most Money Advice…
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Is there good evidence for the ‘paradox of choice’?
The paradox of choice seems relevant in our modern consumer culture. Though it goes by many names[note]Choice overload, overchoice.[/note] it was popularised by Barry Schwartz in his 2004 book ‘The Paradox of Choice – Why More Is Less’. The concept as was initially proposed is straightforward: when presented with a large number of options, consumers…
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ReproducibiliTea interview
I was recently interviewed by Amy Orben, Sophia Crüwell, and Sam Parsons for their excellent podcast ‘ReproducibiliTea’. We talked a little bit about myself before getting into some more interesting topics: open science, educational psychology, how the two interact (or how they don’t), and the developing nuance in understanding around open science practices. The link…
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How to anonymise/pseudonymise your open data in R
Anonymising data, especially if it includes personal details like addresses or voting patterns, is very important if you want to share your data or results. Due to GDPR, all data collected in the E.U. has to be either anonymised or pseudonymised when used in ways other than what was initially intended[note]The benefits of doing so…
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