
Growth mindset fails to increase grades or noncognitive skills. What now?
Growth mindset is a popular classroom intervention which attempts to change children’s views towards studying and class work. The core principle is teaching students their brain has the potential to grow by exerting mental effort during challenging tasks. This will increase the pupil’s willingness to persevere with work, and will subsequently improve their grades (Dweck,…

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…

Should you calculate a pvalue when there isn’t randomisation?
The thought behind this question was prompted by reading [zotpressInText item=”{TIBTBKWD}” format=”%a% (%d%, %p%)”], which argues against frequentist inferential statistics. One of the arguments refers to an underlying assumption required to compute pvalues; they need random sampling. Without this, a pvalue is meaningless. But this is rare in social science research [zotpressInText item=”{VRZPC486}” format=”%a% (%d%,…

Year in Review: 2018
Being a reflective practitioner is highly encouraged in my profession. We are always being asked to think back on an activity or our work, critique ourselves and our practice, looking for areas of strength and weakness. It, therefore, felt natural to apply this to my blogging. What were the goals at the start of the…

Best reads of 2018
These are some of the most interesting article I’ve read in 2018. They don’t have to have been published this year (many aren’t), the only criteria is I came across them this year. Hopefully you find some of them interesting! Coding ‘Why Women in Psychology Can’t Program’ by Olivia Guest. A takedown of the idea…

You can’t assume a normal distribution for your data with N>30
The central limit theorem (CLT) is one of the most foundational concepts in all probability (Daly, 2013). It is commonly understood as: when the means of a variable with a suitable number of observations is plotted on a graph, it can form a normal distribution. When the data comes from many independent and random events, the sum…