Posts

The Meehlian Corroboration-Verisimilitude Theory of Science - Part II

The second part of my compiled reading notes on Meehl’s metatheory and related meta-peregrinations.
Jul 20, 2018 13 min read

The Meehlian Corroboration-Verisimilitude Theory of Science - Part I

My compiled reading notes on Meehl’s metatheory and related meta-peregrinations.
Jul 12, 2018 18 min read

What does a Bayes factor look like?

An attempt to illustrate what a Bayes factor looks like, using GIFs.
May 22, 2018 7 min read

Visualising within-subject effects and stochastic dominance with (augmented) modified Brinley plots

Why can’t we be more idiographic in our research? It is the individual organism that is the principle unit of analysis in the science of psychology (Barlow & Nock, 2009).
Feb 22, 2018 7 min read

Checking the asumption of independence in binomial trials using posterior predictive checking

As put by Gelman et al. (2013, page 148): ‘because a probability model can fail to reflect the process that generated the data in any number of ways, posterior predictive p-values can be computed for a variety of test quantities in order to evaluate more than one possible model failure’.
Jan 23, 2018 9 min read

Using R to make sense of the generalised linear model

What is the difference between the errors and the residuals? What does it mean for a model to predict something? What is a link function? In the current post, we use four R functions (viz., the predict, fitted, residuals and simulate functions) to illustrate the mechanisms and assumptions of the generalised linear model.
Jan 15, 2018 16 min read

Three methods for computing the intra-class correlation in multilevel logistic regression

In the current post, we present and compare three methods of obtaning an estimation of the ICC in multilevel logistic regression models.
Oct 8, 2017 12 min read

The saga of the summer 2017, a.k.a. 'the alpha wars'

I have strong doubts that someone reading a blog called barely significant in this troubled period might have escaped the saga of the summer. However, as this story relates closely to the name of this blog and to the motivations behind its creation, I could not help myself to write a summary of this saga (or of its beginning, at least), to inform any unfortunate people that might have missed it.
Sep 30, 2017 11 min read

Experimental absenteeism and logistic regression, part II

This post continues our exploration of the logistic regression model by extending it to a multilevel logistic regression model, using the brms package.
Sep 22, 2017 14 min read

Experimental absenteeism and logistic regression, part I

This post aims to assess the average probability of participant presence in psychological experiments and, in the meantime, to introduce Bayesian logistic regression using R and the rethinking package.
Aug 5, 2017 12 min read