Niall Bolger

[Maya Rossignac-Milon @mrossignacmilon]

What makes strangers “click” with each other? What does it mean to have merged minds with a close partner?

Our new JPSP paper (w/@ardollam, @KatherineZee, @ericaboothby, Tory Higgins) explores the experience of generalized shared reality:
https://t.co/0eSFFB1OZl

A thread:
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[Niall Bolger @ardollam]

@RobKentdeGrey @KatherineZee It certainly is, Rob.

[Niall Bolger @ardollam]

@NickFoxstats @KatherineZee Thanks so much, Nick.

[Niall Bolger @ardollam]

@EmotionLabKI @KatherineZee Thanks Andreas! Nice to hear from you.

[Niall Bolger @ardollam]

@vuorre @KatherineZee Thanks Matti.

[Niall Bolger @ardollam]

@SPSPGSC @KatherineZee Way to go, Katherine! I'm proud of you!

[Niall Bolger @ardollam]

@KatherineZee Thanks for your kind words, Katherine. I am so happy to have gotten this award!

[Niall Bolger @ardollam]

@kerthobrien @SPSPnews Go raibh míle maith agat, Kerth! Tá áthas mór orm.

[Niall Bolger @ardollam]

@irlpol @ColaistemhuireT What a sad sight!

[Katherine Zee @KatherineZee]

So excited to announce our paper in Current Directions in Psych Science “Visible and Invisible Support: How, Why, and When” https://t.co/2g3aPHqsuj and even more excited to have written it with Niall Bolger @ardollam, who wrote the original paper on invisible support in 2000! 1/2

[Niall Bolger @ardollam]

@Memory_Control ...and here is a link to the Supplementary Materials: https://t.co/f6z204qw93

[Niall Bolger @ardollam]

Oops, I forgot to tell you about the new paper. It is called "Causal Processes in Psychology are Heterogeneous" and it makes the case that we often fail to allow for between-subject variability in experimental effects. Follow this link: https://t.co/3ANb4K4nYA

[Niall Bolger @ardollam]

@Memory_Control Sorry about that, Michael. Try this link:
https://t.co/odykMzlf2G

[Niall Bolger @ardollam]

@joejps84 @PaoloAPalma Take a look at the paper. We say it is wise to work from the assumption that causal effects are heterogeneous, but what matters is how big the hetergeneity is. We show one example where it is tiny and can be ignored and another where it can't reasonably be ignored.

[Niall Bolger @ardollam]

@kerthobrien Go raibh maith agatsa, Kerth!

[Niall Bolger @ardollam]

What's happening? What's happening is that Katherine Zee, Maya Rossignac-Milon, Ran Hassin and I have published a paper. That's what's happening! This paper took only 10 years to complete, an improvement on the 17 years it took for an earlier paper.

[Niall Bolger @ardollam]

@LudoAmelsvoort We argue in the paper that in the case of repeated-measures experiments, where there are many stimuli used (e.g., 40 to hundreds), it makes sense to check for causal effect heterogeneity. No additional resources are likely to be needed.

[Niall Bolger @ardollam]

@joejps84 @PaoloAPalma Not all all, Joe. The paper is full of pictures, not equations. Nice pictures, like this one:

[Niall Bolger @ardollam]

@TonyLFreitas I still use it, Tony, but I've stopped teaching it to students. Open-source software is taking over, and I think it deserves to.

[Niall Bolger @ardollam]

@LudoAmelsvoort Just to be clear, the paper deals with heterogeneity in the effects of within-subject factors in repeated measures experiments. We are not examining heterogeneity in treatment effects in clinical trials.

[Niall Bolger @ardollam]

@DrSLDesmarais Sarah: All the data and R/SPSS code are available as supplemental materials. I hope you will find them useful in you want to try out our analysis approach. Check out:
https://t.co/qDREGOqJbY