Digital Event

#PSDiversityandInclusion: De-WEIRDing our participant samples

It has been pointed out that the scientific literature on human cognition and behavior is based primarily on data from Western, Educated, Industrialized, Rich, and Democratic (WEIRD) societies. This situation is unlikely to change, given that most researchers do not have the training or the funding necessary to study non-WEIRD populations. In addition, some researchers […]

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#PSD&I Beyond Tokenism: Embracing Racial Diversity In Teaching Psychology  

(This post was co-authored with Almas Talib) Over the last ten years, many British universities have increased their efforts to attract Black and Minority Ethnic (BME) students. But seduced by the idea that fair access to higher education would automatically translate into equal opportunities, only some institutions have followed-up on their BME students’ progression rates […]

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#PSD&I: Conversations about diversity and inclusion

Next week’s #PSD&I Digital Event is dedicated to diversity and inclusion, broadly defined, and how it relates to all aspects of the activities of the Psychonomic society and its members. The Psychonomic Society is committed to diversity and inclusion, as stated on its webpage: “Most scientists in psychological research agree that diversity, both ethnic and […]

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#BayesInPsych: Spiking a slab with sleepless pillow talk and prior inequalities

I recently finished reading Suzanne Buffam’s, A Pillow Book. This is a book of non-fiction poetry about thoughts and musings that may enter the mind as one drifts off to sleep, ranging from the historical consideration of pillows to comprehensive lists of sleeping aids. I’ve spent more than a few nights drifting off to sleep considering […]

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We often know more than we think: Using prior knowledge to avoid prior problems #BayesInPsych

One of the unique features of Bayesian statistical and computational modelling is the prior distribution. A prior distribution is both conceptually and formally necessary to do any sort of Bayesian modelling. If we are estimating the values of model parameters (e.g., regression coefficients), we do this by updating our prior beliefs about the parameter values […]

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The four horsemen of #BayesInPsych

I see four benefits to the use of Bayesian inference:  Inclusion of prior information.  Regularization.  Handling models with many parameters or latent variables.  Propagation of uncertainty. Another selling point is a purported logical coherence – but I don’t really buy that argument so I’ll forget that, just as I’ll also set aside philosophical objections against […]

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From classical to new to real: A brief history of #BayesInPsych

The #BayesInPsych Digital Event kicked off yesterday and as the leading Guest Editor of the special issue of Psychonomic Bulletin & Review, I take this opportunity to provide more context for this week’s posts. The simple act of deciding which among competing theories is most likely—or which is most supported by the data—is the most […]

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#BayesInPsych: Preventing miscarriages of justice and statistical inference

Your brilliant PhD student ran an experiment last week that investigated whether chanting the words “unicorns, Brexit, fairies” repeatedly every morning before dawn raises people’s estimates of the likelihood that they will win the next lottery in comparison to a control group that instead chants “reality, reality, reality”. The manipulation seems to have worked, as […]

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Merging multiple shades of play in multiple ways

The special issue on the evolution and psychological significance of play in Learning and Behavior covers multiple topics, species, and ages and is most welcome. I hope the issue and thoughtful papers receive the attention that they deserve. With the great influx of research interest in play over the last 20 years, some of the […]

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