I am completely astounded by #ChatGPT's capabilities (chat.openai.com). I've been playing around with it to explore possible use cases for psychological research. Here are just a few: 1) Stimuli generation. 2) Scale development: Generating potential questionnaire items.

#SPSP2022 In collaboration with @TEDTalks "mystery experiment", @DunnHappyLab studied the effects of giving $10,000 to 200 people to spend however they wanted (plus 100 in no-$ control condition). Really striking findings!! 1/n Money does buy happiness (even 3 months after the money has been spent)! #SPSP2022 2/n

Thought I'd share some miscellaneous thoughts/lessons from two rounds on the job market: 🧵 1/n Be aware that out-of-pocket costs can add up! Some universities made me book my own flights (including an international flight!), & I had to wait weeks for reimbursement. In one case, I also ended up staying a few extra nights in b/t interviews (instead of flying home first). 2/n

Great thread. The dominance of Likert-type outcome measures means that most psychologists don't actually know what a non-arbitrary measure looks like. So here's a thread on how we can make our measures less arbitrary: 1/n Blanton & Jaccard's (2006) paper revolutionised my thinking about effect sizes and meaningful metrics in psychology. I highly recommend it. psycnet.apa.org/record/2006-00… 2/n

Fascinating preprint, @DHBostyn & @xphilosopher! A few journal club thoughts from me and @AllardThuriot (Thread): 1/n

https://twitter.com/DHBostyn/status/1253656831643312128

1) We loved the goal of mathematically modelling different shapes of blame/praise judgments, and identifying neutral points. I saw this as very much in line w/ calls to reduce the arbitrariness of measures and define the continua of constructs, e.g.: psycnet.apa.org/record/2006-00… 2/n