The British Journal of Mathematical and Statistical Psychology has published a target article (with commentaries and reply) by Andrew Gelman and Cosma Shalizi on philosophy and the practice of Bayesian statistics.

 Mark Andrews and I introduce the target article with an editorial aimed at providing some background to psychologists who are interested in Bayesian statistics but need a little back story. Our main aim was to try and indicate that the debate about Bayesian statistics has moved on from the frequentist vs. Bayesian argument and on to more interesting territory - illustrated both by the target article and the commentaries.

 Also I believe that as of writing access is free to the target article and commentary ...
Andrews, M., & Baguley, T. (2013). Prior approval: The growth of Bayesian methods in psychology. British Journal of Mathematical and Statistical Psychology, 66, 1–7. doi:10.1111/bmsp.12004


Gelman, A., & Shalizi, C. R. (2013). Philosophy and the practice of Bayesian statistics. British Journal of Mathematical and Statistical Psychology, 66, 8–38. doi:10.1111/j.2044-8317.2011.02037.x

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I have been thinking to write a paper about MANOVA (and in particular why it should be avoided) for some time, but never got round to it. However, I recently discovered an excellent article by Francis Huang that pretty much sums up most of what I'd cover. In this blog post I'll just run through the main issues and refer you to Francis' paper for a more in-depth critique or the section on MANOVA in Serious Stats (Baguley, 2012).
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I wrote a brief introduction to logistic regression aimed at psychology students. You can take a look at the pdf here:  

A more comprehensive introduction in terms of the generalised linear model can be found in my book:

Baguley, T. (2012). Serious stats: a guide to advanced statistics for the behavioral sciences. Palgrave Macmillan.

I wrote a short blog (with R Code) on how to calculate corrected CIs for rho and tau using the Fisher z transformation.

I have written a short article on Type II versus Type III SS in ANOVA-like models on my Serious Stats blog:

https://seriousstats.wordpress.com/2020/05/13/type-ii-and-type-iii-sums-of-squares-what-should-i-choose/

I have just published a short blog on the Egon Pearson correction for the chi-square test. This includes links to an R function to run the corrected test (and also provides residual analyses for contingency tables).

The blog is here and the R function here.

Bayesian Data Analysis in the Social Sciences Curriculum

Supported by the ESRC’s Advanced Training Initiative

Venue:           Bowden Room Nottingham Conference Centre

Burton Street, Nottingham, NG1 4BU

Booking information online

Provisional schedule:

Organizers:

Thom Baguley   twitter: @seriousstats

Mark Andrews  twitter: @xmjandrews

The third and (possibly) final round of the workshops of our introductory workshops was overbooked in April, but we have managed to arrange some additional dates in June.

There are still places left on these. More details at: http://www.priorexposure.org.uk/

As with the last round we are planning a free R workshop before hand (reccomended if you need a refresher or have never used R before).

In my Serious Stats blog I have a new post on providing CIs for a difference between independent R square coefficients.

You can find the post there or go direct to the function hosted on RPubs. I have been experimenting with knitr  but can't yet get the html from R Markdown to work with my blogger or wordpress blogs.
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