Political methodology, meta-science, American public policy.
www.amandakweiss.com
Opinions my own, reposts not (necessarily) endorsements, etc.
Pumped to be teaching the next generation about choosing estimands based on identification assumptions. 😂🙏
Pumped to be teaching the next generation about choosing estimands based on identification assumptions. 😂🙏
On the one hand: *So many* Calendly sign-ups.
On the other hand: it feels like a huge teaching win that one of my students told me this morning that they were disappointed in their grade, but also understood it based on my comments.
On the one hand: *So many* Calendly sign-ups.
On the other hand: it feels like a huge teaching win that one of my students told me this morning that they were disappointed in their grade, but also understood it based on my comments.
Vignettes were quite specific w.r.t. moving the target emotion more than other emotions.
But image sets always moved at least one other emotion more than the target emotion (e.g., anger images had big effects on disgust).
AEMTs were in the middle.
(11/17)
Vignettes were quite specific w.r.t. moving the target emotion more than other emotions.
But image sets always moved at least one other emotion more than the target emotion (e.g., anger images had big effects on disgust).
AEMTs were in the middle.
(11/17)
(9/17)
(9/17)
Ekin Dursun and I ask what instruments best manipulate emotions on surveys (osf.io/56h4g).
We find that vignettes really work! They have large effects on emotions of interest & smaller effects on emotions *not* of interest.
But as always, it's complicated.👇
(1/17)
Ekin Dursun and I ask what instruments best manipulate emotions on surveys (osf.io/56h4g).
We find that vignettes really work! They have large effects on emotions of interest & smaller effects on emotions *not* of interest.
But as always, it's complicated.👇
(1/17)
I thought I was an okay runner. But I did not know your game.
Just some cute path and then BOOM 15% GRADE.
I have been suitably chastened.
Respectfully,
Amanda
I thought I was an okay runner. But I did not know your game.
Just some cute path and then BOOM 15% GRADE.
I have been suitably chastened.
Respectfully,
Amanda
U.S. culture wars are so complicated. Under the circumstances, it's completely reasonable that the ad that Buzzfeed served me was for moving to Germany.
U.S. culture wars are so complicated. Under the circumstances, it's completely reasonable that the ad that Buzzfeed served me was for moving to Germany.
I am honored, but...
I am honored, but...
But I could not be more excited to join Cornell as an Assistant Professor of Government this fall!
But I could not be more excited to join Cornell as an Assistant Professor of Government this fall!
If you don't believe that women or members of minority groups can contribute to public life, you may well think random dudes are necessarily better than whoever currently runs government/the Fortune 500.
If you don't believe that women or members of minority groups can contribute to public life, you may well think random dudes are necessarily better than whoever currently runs government/the Fortune 500.
One would hope.
One would hope.
Sometimes it hits me anew what a privilege it is to be able to vote for the person who is going to hold the most powerful office in the world.
Sometimes it hits me anew what a privilege it is to be able to vote for the person who is going to hold the most powerful office in the world.
It’s a fluffy doggie! 🐾 Amanda is excited to announce that Franklin Delano Roosevelt "Frankie" Weiss has reached a new level of cuteness.
It’s a fluffy doggie! 🐾 Amanda is excited to announce that Franklin Delano Roosevelt "Frankie" Weiss has reached a new level of cuteness.
I'm presenting "How Much Should We Trust Modern Difference-in-Differences Estimates?" on alongside 4 other exciting papers.
I'm presenting "How Much Should We Trust Modern Difference-in-Differences Estimates?" on alongside 4 other exciting papers.
"How Much Should We Trust Modern Difference-in-Differences Estimates?" at osf.io/bqmws
I assess the fit between modern DID-style estimators and real-world data features, and point to approaches for improving inference.
Quick thread ⬇️
"How Much Should We Trust Modern Difference-in-Differences Estimates?" at osf.io/bqmws
I assess the fit between modern DID-style estimators and real-world data features, and point to approaches for improving inference.
Quick thread ⬇️