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Our [ @andrea_e_martin] paper is OUT
We present our path model of science. And how computational modelling forces us to confront our intuitions that remain unexamined — over and above stewardship of experimental practice (e.g., preregistration).
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https://doi.org/10.1177/1745691620970585
![Our [ @andrea_e_martin] paper is OUTWe present our path model of science. And how computational modelling forces us to confront our intuitions that remain unexamined — over and above stewardship of experimental practice (e.g., preregistration).1/n https://doi.org/10.1177/1745691620970585](https://pbs.twimg.com/media/EsZ13k6XcAAx_G6.jpg "Our [ @andrea_e_martin] paper is OUTWe present our path model of science. And how computational modelling forces us to confront our intuitions that remain unexamined — over and above stewardship of experimental practice (e.g., preregistration).1/n https://doi.org/10.1177/1745691620970585")
![Our [ @andrea_e_martin] paper is OUTWe present our path model of science. And how computational modelling forces us to confront our intuitions that remain unexamined — over and above stewardship of experimental practice (e.g., preregistration).1/n https://doi.org/10.1177/1745691620970585](https://pbs.twimg.com/media/EsZ15ITXcAAN8wU.jpg "Our [ @andrea_e_martin] paper is OUTWe present our path model of science. And how computational modelling forces us to confront our intuitions that remain unexamined — over and above stewardship of experimental practice (e.g., preregistration).1/n https://doi.org/10.1177/1745691620970585")
![Our [ @andrea_e_martin] paper is OUTWe present our path model of science. And how computational modelling forces us to confront our intuitions that remain unexamined — over and above stewardship of experimental practice (e.g., preregistration).1/n https://doi.org/10.1177/1745691620970585](https://pbs.twimg.com/media/EsZ4DOlXMAEvQuz.jpg "Our [ @andrea_e_martin] paper is OUTWe present our path model of science. And how computational modelling forces us to confront our intuitions that remain unexamined — over and above stewardship of experimental practice (e.g., preregistration).1/n https://doi.org/10.1177/1745691620970585")
We present our path model of science. And how computational modelling forces us to confront our intuitions that remain unexamined — over and above stewardship of experimental practice (e.g., preregistration).
1/n https://doi.org/10.1177/1745691620970585
Firstly, just a quick link to the thread from the preprint, which is useful and which also demonstrates how nicely the journal (Perspectives on Psychological Science, @PsychScience) redid our figures:
https://twitter.com/o_guest/status/1230144174751698946
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https://twitter.com/o_guest/status/1230144174751698946
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Also a link to the original tweet that started it ALL, at least with respect to the pizza problem: https://twitter.com/o_guest/status/1186141920239730689
If only I knew which 1 in a 100k tweets of mine are good! I guess that's why I have @andrea_e_martin who was like "yes, this must be in our paper!"
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If only I knew which 1 in a 100k tweets of mine are good! I guess that's why I have @andrea_e_martin who was like "yes, this must be in our paper!"
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Notwithstanding of course, just as many thanks and much credit should go to @richarddmorey for inviting me/us to write this and to uh, myself [LMAO — sorry, could not resist] for knowing @andrea_e_martin would be the perfect the co-author [for this theme and in general TBH].
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Before I jump in with some points from the paper...
In case useful, here are some talks [in 60, 45, and 15 min versions] on this paper: https://www.youtube.com/playlist?list=PLYg0wn9U8Q7-VHAb5Kff46bty9S2PI8qO
For ease of access, the 15 minute version is here:
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In case useful, here are some talks [in 60, 45, and 15 min versions] on this paper: https://www.youtube.com/playlist?list=PLYg0wn9U8Q7-VHAb5Kff46bty9S2PI8qO
For ease of access, the 15 minute version is here:
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Now, I'll outline some MAIN points of the paper, which might be like 2-3 papers in one. So you're getting quite a bang for your buck here, OK!? Shhhhhh. Don't question the process. 
It's what happens, I guess, when one stews ideas for a decade. Who knows!
Anyway...
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It's what happens, I guess, when one stews ideas for a decade. Who knows!
Anyway...
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Firstly, we explain what a computational model is, how it is built, and how formalization is FORCED at the steps along the way. We illustrate how specifying a model naturally results in better specified theories and therefore in better #openscience.
https://doi.org/10.1177/1745691620970585
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https://doi.org/10.1177/1745691620970585
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Next, we present our path model of science and how to improve the relationship between theory and data. Stepping through theory, specification, & implementation is required before an interpretation can have explanatory force in relation to a theory.
https://doi.org/10.1177/1745691620970585
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https://doi.org/10.1177/1745691620970585
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Our model allows us to pinpoint where in the path questionable research occurs, such as p-hacking — something many struggle with because not everything that is post hoc is "bad". Theory is (also) post hoc!
BONUS: Doing it "right" upsets Nazis.
https://doi.org/10.1177/1745691620970585
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BONUS: Doing it "right" upsets Nazis.
https://doi.org/10.1177/1745691620970585
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Finally, computational modelling addresses the lacking theory building that underlies the so-called replication crisis in, e.g., social psychology — and the whole field in general too!
Modelling can be achieved by anyone with benefit to all.
https://doi.org/10.1177/1745691620970585
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Modelling can be achieved by anyone with benefit to all.
https://doi.org/10.1177/1745691620970585
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I dunno what else I might add, but PLEASE FEEL FREE TO ASK ME ANYTHING!!! 
Including here: https://twitter.com/o_guest/status/1322193887725785089
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Including here: https://twitter.com/o_guest/status/1322193887725785089
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Also be nice... if you like these ideas, cite me and @andrea_e_martin.
You know who you are... From my/our end, it's not personal.
I just wanna be cited and want you to not be doing academic misconduct. Or something.
https://twitter.com/o_guest/status/1322242744551657472
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You know who you are... From my/our end, it's not personal.
I just wanna be cited and want you to not be doing academic misconduct. Or something.
https://twitter.com/o_guest/status/1322242744551657472
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