Mark Andrews and I launched our Prior Exposure Bayesian Data Analysis workshop series last year and are pleased to announce that bookings for year the 2016 workshops 1 and 2 are now open. This is part of the ESRC Advanced Training Initia...

One of the great things about writing a statistics book was finding an excuse to read about dozens of topics that I knew a little about but hadn't got around to studying in depth. Even so, there were a number of topics I ended up missing out on complet...

Booking is now open for workshops three and four of our Prior Exposure Bayesian data analysis training (all taking place in Nottingham). The dates are 22 and 23 September 2015.These follow on from the first two workshops but if you have some training i...

Mark Andrews and I have just launched the web site for our Prior Exposure Bayesian Data Analysis workshop series. This is part of the ESRC Advanced Training Initiative.Further details are available here.The first two workshops are available for booking...

This is a guest blog post by Gerry Markopoulos. I'm posting it because I think it is an important topic that deserves wider discussion.Recently, an article was published in the prestigious journal ‘Proceedings of the National Academy of Sciences’ (...

I just posted brief multicollinearity tutorial on my other blog (loosely based on the material from the Serious Stats book). You can read it here.Filed under: serious stats, stats advice Tagged: correlation and covariance, general linear model, messy d...

This blog post was written for undergraduate research methods teaching. I have therefore tried to keep everything relatively simple and equation-free. The content is based loosely on more detailed material in my book Serious stats. What are collineari...

There are many good resources online for learning R. However, I recently discovered Try R from Code school – which is interactive, goes at a very gentle pace and also looks very pretty: http://tryr.codeschool.com/Filed under: serious stats Tagged...

One fascinating thing about working in the area of psychological statistics is how hard it is to move people away from reliance on bad, inefficient or otherwise problematic methods. My own view - informed to some extent by the literature, by experience...

It never occurred to me until today to write a post about why faking data is bad. However, I noticed an interesting exchange on Andrew Gelman's blog (see the comments on this post about Marc Hauser). One commenter argued that it was not clear that Haus...