My second presentation on distinguishing between the consensual and coercive aspects of duty to obey using natural effects models was much better attended than the first one. You can find the presentation of our work with Jon Jackson, Ben Bradford, and Sarah MacQueen (and the extra slides on the methodology) after the page break.Continue reading “Presentation at the Annual Meeting of the ASC 2.”
We had the privilege to write a book review with Jon Jackson and Ben Bradford on Tank Waddington’s final book, co-authored with Kate Williams, Martin Wright, and Tim Newburn. There is no point for me to reiterate all the praise that we have given to this methodologically innovative and theoretically rich book (you can find our review here or on my open science account here). Let me say just this: if you are a policing scholar or practitioners interested in procedural justice or citizen perception of the police in general, you should get this book.
I was honoured to be invited by Kohei Watanabe and Atsushi Tago to give a talk this Wednesday at Waseda University in Tokyo. Upon their request, I was discussing my paper, which is currently under the second round of peer review at the Journal of Quantitative Criminology, from a methodological perspective. Readers of this blog should be familiar with these techniques (for details see the following thread of posts), for which I have already made available the code and the data to encourage future replications. You can find my presentation below, after the page break.Continue reading “Presentation at Waseda University”
As a followup to last week’s post, I will discuss how the emerging results of police diversity in the UK compare to trends in the US and why it is important to increase ethnic diversity in the police force.
I am still very new to blogging – a couple of people have recently suggested that I should publish my conference presentations on my website, which is so obvious but has never occurred to me earlier. I had the privilege to give two presentations last weekend at EUROCRIM in Sarajevo.
In this third, and final post on causal mediation analysis with multiple mediators (see the first two here and here), I discuss the case of sequentially ordered mediators. Continue reading “Causal mediation analysis with multiple mediators 3. – Sequentially ordered mediators”
This is the second installment in a series of posts on causal mediation analysis with multiple mediators (see the first one here), which discusses how to handle the case of post-treatment confounding. Continue reading “Causal mediation analysis with multiple mediators 2. – Post-treatment confounding”
To kick off the year with an “easy” and “light” topic, I decided to start a series of discussions on causal mediation analysis with multiple mediators. Because the remaining papers in my PhD rely on such techniques, I thought it might make sense to write a brief summary of the different approaches one can take. I am aware that in a rapidly advancing field such as causal inference this post risks becoming obsolete very quickly, at the same time, I hope that this overview can still remain relevant for some upcoming papers (and posts). Continue reading “Causal mediation analysis with multiple mediators 1. – Causal independence and joint mediation”
This post should be considered as an addendum to this previous one that discussed causal mediation analysis with a single mediator. That post ended with the argument that causal evidence could be found that procedural justice indeed mediated the effect of the treatment (previous experiences with the police) towards the outcome (normative alignment with the police). This post will discuss two sensitivity analysis techniques which assess this finding’s robustness to unmeasured confounding. Continue reading “ScotCET and sensitivity analysis for causal mediation analysis with a single mediator”
This post finishes the discussion of two other ones (this and this) by providing an example how to carry out causal mediation analysis with a single mediator in R. The “mediation” package is utilised, for a full description of the package’s capabilities, you can refer to Tingley et al. (2014). For STATA users out there, there is a “paramed” package in STATA which should also produce the same results (within rounding error). A note of caution though: the “paramed” package can only be used with linear mediators and outcomes, and with binary logit models with rare outcomes (see: VanderWeele 2016). The dataset for the analysis can be downloaded from the bottom of the page. Continue reading “ScotCET and causal mediation analysis with a single mediator 3. – A demonstration in R”