RT @LSQjournal: Read it now! "Getting what you pay for: Resource allocations and legislative success" by @emilyommundsen (@OleMiss). 🔗 http….

RT @rachel__porter: And *very important* is the fact that candidates take ideologically mixed positions; the extremity of positioning varie….

RT @NotLipset: Excited to share that my paper on citizen-to-citizen persuasion, co-authored with Carlos Rueda-Cañòn and Tim Ryan, was just….

RT @JDRackey: 🚨New research from my @BPC_Bipartisan🚨. @ThorningMichael & I interviewed over a dozen current and fmr members and senior con….

RT @leedrutman: "unidimensional “ideal points” for candidate policy positioning mask important variation in issue polarization at the party….

The paper contains much more and feedback is welcome! Our elements will extend this work and highlight important considerations (e.g., text inclusion/exclusion, scaling method, validation considerations) for researchers doing similar measurement tasks:

In additional validation exercises, we also show that our measure is predictive of PAC contributions (e.g., pro-choice PACs are more likely to donate to candidates with more liberal scores on our abortion measure) within party and while controlling for unidimensional ideology

Our measurements rely on supervised machine learning to isolate issue-specific text and word embeddings (doc2vec) to scale candidates' positions to an issue-specific score. We show our measures recover human judgments of issue text *within party and with controls*

In the paper, we develop Candidate Positioning Indexes (CPIs) for six policy areas: abortion, education, energy, guns, healthcare, and immigration. We are in the process of expanding and validating other issue areas (foreign policy, election admin, the environment, policing).

Unidimensional measures of campaign positioning are useful, but they often obscure important issue-level variation in candidates’ positions. Take Elise Stefanik’s more conservative stance on guns versus her more moderate position on the environment in 2022

Excited to have this working paper with @rachel_porter out, as well as a corresponding CUP Elements in Quantitative and Computational Methods for the Social Sciences under contract. Quick thread on the paper:.

RT @sbmitche: The Department of Political Science at the University of Iowa invites applications for a tenure-track position at the rank of….

Dissertation defended ✅. I’m grateful for everyone at @uncpolisci for their support throughout my PhD, especially my committee (Sarah Treul, Marc Hetherington, Santiago Olivella, @ProfJRoberts, and @TJRyan02). Next stop, @UiPolisci!

RT @rachel__porter: If you're attending #MPSA2024 in Chicago on Thursday, stop by to check out a series of great panels for our Primary Ele….

I am thrilled to share I will be joining the Department of Political Science at the University of Iowa as an Assistant Professor this coming fall. Thank you to everyone who has offered help and support throughout this process, and I can’t wait to get started at @UIPolisci!.

RT @emilyommundsen: @colinrcase, @rachel__porter, and I are thankful for the @TheLawmakers’ support! Stay tuned for our working paper where….

RT @JohnHolbein1: Next up in our highlighting of JMCs is @colinrcase. Colin studies American politics and congressional elections. e.g. C….

Come see @rachel__porter present our poster at #polmeth40 tonight! Really excited about the early results from this work that build on my dissertation (.

Watching the communication strategy of the "No's" on the debt ceiling vote will be interesting in the coming days. If you are wondering why members would openly criticize a "bipartisan" agreement, check out our paper!.

Extremely well deserved, @rachel__porter! Excited to see the next iteration of this important research.