CarlisleRainey

@CarlisleRainey@sciences.social

Political scientist at FSU. I work on political methodology, mostly Bayesian and computational methods and experimental design.

#poliscitwitter, #econtwitter, #academictwitter, #rstats, #causalinference

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CarlisleRainey, to random

From Zinsser’s On Writing Well.

“Keep thinking and rewriting until you say what you want to say.”

https://ia800308.us.archive.org/31/items/OnWritingWell/on-writing-well.pdf

CarlisleRainey,

I’d add one small thing: there’s a period for me during rewriting process when I’m figuring out what I’m trying to say, not just how to say it.

CarlisleRainey, to random

P Aronow and Fredrik Sävje's review of "Book of Why." A really great short read.

https://arxiv.org/abs/2003.11635

CarlisleRainey, to random

Four new(ish) papers on measuring affective polarization: A thread 🧵

"[The] feeling thermometer measure is in fact so tied to the concept of affective polarization that often it is simply referred to as affective polarization." (from Paper #4 below)

CarlisleRainey,

Paper #1

Druckman, James N, and Matthew S Levendusky. 2019. “What Do We Measure When We Measure Affective Polarization?” Public Opinion Quarterly 83(1): 114–22.

DOI: https://doi.org/10.1093/poq/nfz003

CarlisleRainey,

Paper #2

Finkel, Eli J., Christopher A. Bail, Mina Cikara, Peter H. Ditto, Shanto Iyengar, Samara Klar, Lilliana Mason, et al. 2020. “Political Sectarianism in America.” Science 370(6516): 533–36.

DOI: https://doi.org/10.1126/science.abe1715

image/png

CarlisleRainey,

Paper #3

Landry, Alexander, Eli Finkel, Rick H. Hoyle, James Druckman, and Jay Joseph Van Bavel. 2024. “Partisan Antipathy and the Erosion of Democratic Norms.”

DOI: https://doi.org/10.31234/osf.io/ahgy6

image/png

CarlisleRainey,

Paper #4

Campos, Nicolas, and Christopher Federico. 2024. “A New Measure of Affective Polarization.”

DOI: https://doi.org/10.31219/osf.io/xg3b7

The introduction of this paper--see the third image--gives a nice overview of the ideas presented in these four papers.

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CarlisleRainey, to random

How data-sharing habits have changed in political science since 1995.

These data show a massive shift in norms, requirements, and infrastructure, but also how much room we have to improve.

GitHub Gist w/ {gganimate} code: https://gist.github.com/carlislerainey/b87600c3314e1829a10b43d0c4617762

Preprint on OSF: https://osf.io/preprints/socarxiv/a5yxe

CarlisleRainey,

@koen_hufkens Good question! I suspect this is due mostly (maybe “almost entirely”) to changes in journal policies. Theres likely a generational gap too, but I’d guess that’s much smaller.

CarlisleRainey, to random

🎄🎁 New Preprint! 🎁🎄

Here's a new one with Harley Roe, Qing Wang, and Nick Dietrich. In this paper, we discuss some potential problems with using events data to measure dissent, offer a potential solution, and have an easier-to-use dataset.

https://osf.io/preprints/socarxiv/dw7np

CarlisleRainey,

The data set is easy to get from Dataverse if you want to try it out. https://doi.org/10.7910/DVN/CL4CA8

CarlisleRainey,

We have a little website with all the details that we hope makes everything super transparent and allows others to borrow and build on our strategy and ideas. https://www.carlislerainey.com/dissent-scores/

CarlisleRainey,

Here's a simple example that we discuss in more detail in the paper.

https://www.carlislerainey.com/dissent-scores/example-dissent-in-the-middle.html

CarlisleRainey, to random

New version of "Estimators for Topic-Sampling Designs."

We emphasize and recommend hierarchical models, but this version describes better standard errors for the design-based estimates of the typical treatment effect.

https://osf.io/preprints/socarxiv/7ady6

CarlisleRainey, to random

Here's something cool. MS Word can summarize a paper in potentially helpful ways. I'm curious how this latest paper of mine compares to others. What does your latest paper look like?

Tools > Spelling and Grammar > Editor. Then click "Document stats."

CarlisleRainey,

For another paper:

CarlisleRainey, to random
CarlisleRainey,
CarlisleRainey, (edited ) to random

When evaluating a candidate for promotion and tenure with 10 publications, should evaluators focus on (1) the best five publications, (2) the worst five publications, or (3) all ten publications?

CarlisleRainey, to random

"Papers and patents are becoming less disruptive over time"

https://www.nature.com/articles/s41586-022-05543-x

CarlisleRainey,
CarlisleRainey, to random

I'm curious about the habits of successful people. Here's a paper I really enjoyed. https://www.jstor.org/stable/202063

CarlisleRainey,
CarlisleRainey, to random

A brief bibliography on Firth's logit from my notebook.

http://www.carlislerainey.com/blog/2023-08-30-firth-references/

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