# Reading for section on Wednesday, September 30

Two things to read before section. You don't need to read either one all the way through, and you don't need to understand all of what you do read. Below I've marked which sections to read closely, which to skim, and which to skip.

As you go, jot down your thoughts. Nothing formal, a few lines is plenty:

- the main idea or ideas of the paper
- something you'd like to try for the extension project
- any questions or comments

## 1. Barber and Pope (2019), "Does Party Trump Ideology?"

*APSR* 113(1): 38–54, https://doi.org/10.1017/S0003055418000795. This is the paper we're replicating this semester.

- **Read** the abstract and the introduction.
- **Skim** "Literature and Theory."
- **Read** "Data and Empirics," including the first part of "Results" through Figure 1 and the paragraph about it.
- **Skim** the rest of the results: "Results by Political Knowledge Levels," "Results by Partisan Attachment and Trump Favorability," and "Results by Self-Labeled Ideology," which has Figures 2 to 5 and Table 1.
- **Skip** "Robustness: Other Political Leaders as Tests" and "Ideal Point Distributions by Treatment Group." Some groups may come back to these for extensions, so you may skim if interested.
- **Read** the "Discussion."

## 2. Fuller and Rametta (2024), "The Dangers of Calculating Conditional Effects"

OSF preprint, https://doi.org/10.31219/osf.io/hwzsu. Sam and a coauthor went back to the Barber and Pope data and reanalyzed it. They agree with the main result, Figure 1, but disagree with part of what the paper says about which kinds of people respond to the cue.

- **Read** the abstract, the first page of the introduction, and the last three paragraphs of the introduction (they start with "Given the development of superior methods"). Then read the conclusion, which is one page and titled "So What?" Don't worry if the method doesn't make sense to you. It's well beyond this course, and you don't need it.
- **Skim or skip** everything else: the middle of the introduction, "Model, Data, & Analytical Process," and "Reanalysis Results." That is where the method lives. You're reading this to see that a published result can get reopened, and to see what a replication plus an extension looks like when it's done for real.