Andrew Trexler

@atrexler.com

722 Followers 367 Following

Assistant professor. | He/his. | Political communication, political behavior, news media, public opinion, survey methods. | atrexler.com | Opinions own.

Figure 6 from the paper, which shows how statistical power changes as sample size, true ATE, and true design effect change. RM designs always offer superior power but this benefit is less meaningful with large samples.
Table 5 from the paper, which shows nearly-monotonic increases in the design effect as respondents encounter more and more RM designs in a single survey.
Figure 2 from the paper showing internal meta-analyses of the design effect on estimated ATEs. The estimates consistently fall around 20% attenuation regardless of sample & design type (except within-subject designs on Prolific).
Figure 5 from the paper, which shows histograms of the percentage change (from PO to RM) in the estimated ATE and standard error. The change in ATEs is clustered around 20% attenuations. The change in SEs is clustered around 50% reductions.
Table 1 from the paper, summarizing each study's design, treatment, and control arms.
Figure 3 of the paper. The figure displays the estimated ATE of each experiment under each design (bootstrapped). The point estimates for the repeated measure design are nearly all attenuated relative to the post-only design, but the confidence intervals are also much smaller.
Abstract for "New Evidence and Design Considerations for Repeated Measure Experiments in Survey Research" by Diana Jordan, Trent Ollerenshaw, and Andrew Trexler, published in the American Political Science Review. The abstract text reads: "We re-examine recent influential claims that repeated measure experimental designs offer large precision gains without biasing treatment effect estimates in survey research. We test these claims by experimentally varying the design of six classic political science experiments across three distinct large samples of U.S. adults (total N = 13,163). In contrast to prior evidence, we observe consistent attenuation of treatment effects in repeated measure designs. However, we show in simulations that this average design effect is small enough, and the precision gains large enough, that we recommend repeated measure designs for broad application—though (large-N) post-only designs may be preferable when research priorities include estimating the precise magnitude of a treatment effect. We additionally explore how several design considerations affect the bias-precision trade-off, such as within-subject versus between-groups designs, the relative separation of repeated measures within single surveys, and differences in respondent characteristics across sample types."
Figure 4 of "The Unequal Challenge of Learning from Under-Informative News." The figure shows the predicted post-treatment support for norm-breaking policies, conditional on baseline political engagement and treatment assignment. Support for norm-breaking declines among less politically engaged consumers following exposure to "public interest" style coverage.
Figure 2 of "The Unequal Challenge of Learning from Under-Informative News." The figure shows the predicted recall of key information under each time constraint, conditional on baseline political engagement and treatment assignment. The recall penalty is mostly restricted to less engaged individuals under no or a slight time constraint, though substantively large in the latter case. Under a severe time constraint, the penalty is large and consistent at all levels of baseline political engagement.
Figure 1 of "The Unequal Challenge of Learning from Under-Informative News." The figure shows the estimated average treatment effect on information recall following exposure to under-informative news under different time constraints. The estimate ATEs are consistently negative, with stronger effects under tighter time constraints.
Table 1 of "The Unequal Challenge of Learning from Under-Informative News." The table displays 5 ways of writing a headline for the same story. "Public interest" style: "Congress approves new military aid package for Ukraine in bipartisan votes." "Conflict" style: "Congress approves new Ukraine funding, delivering Biden victory over GOP objections." "Jargon" style: "Johnson pushes through Ukraine aid bill despite objections from Freedom Caucus." "Prediction" style: "The House Speaker's push to approve new Ukraine funding might cost him his job." "Clickbait" style: "Here's how the House Speaker got around far-right opposition to secure Ukraine aid."
An example clickbait headline: "Here's Why Trump Was Forced to Say He Has Only 'Concepts of a Plan.'"
Image of a black 'Hotshot' backpack from The North Face against a grey background.
A portrait photograph of Frederick Douglass, circa 1879. Source: Wikimedia Commons.
A graph of the price of a dozen eggs in the US over the past year. Data from the US government Bureau of Labor Statistics. The graph shows that average egg prices currently stand at $6.23, higher than at any point in the past year (and the highest since record-keeping began in the 1980s).
Figure 3 showing the estimated ATEs of repeated measure experiments as the separation between pre- and post-treatment measures changes.
Plot of bootstrapped estimated ATEs for different experiments, samples, and experimental designs.
Figure 4 providing a graphical summary of the main results of the study: a slight attenuation of average treatment effects from a repeated measure design, and large reduction in the ATEs' standard errors (improved precision).
A screenshot of the NYT homepage that fails to make any mention of a private citizen illegally closing an entire federal agency over the weekend.
Push alert from The Washington Post that reads in part: "Trump will attempt to end birthright citizenship with an executive order. Scholars say the action would be unconstitutional."
Excerpt from the NYT morning newsletter: "And it will require a quick decision — on TikTok. The Supreme Court on Friday unanimously upheld a bipartisan law forcing TikTok’s Chinese owner to sell it or shut it down. Trump said over the weekend that he would likely decline to enforce the law for 90 days. Will he ultimately fold and allow China to continue controlling TikTok? Will he broker a sale? Or will he shut down TikTok if Xi refuses to allow a sale?"
A joyful picture of Andrew, Hannah, and Coconut. Andrew and Hannah appear happy and smiling; Coconut appears mildly put out.
Title and abstract for "The Paradox of Consumer Demand for Under-informative News," available at https://osf.io/59upd.
A series of graphs showing sample proportions of identification with ideological labels across self-reported Twitter usage.
Figure 4 of the paper, showing little difference between investigative and contextual treatments.
Figure 2 of the paper, showing positive electoral accountability and spending support effects from information-rich reporting.
A screenshot of the article's abstract.
A table of goals and points for #AcWriMo 2023.
A list of goals and tally of points for Academic Writing Month 2023.
A goal/points table for #AcWriMo.
A list of goals and rewards for Academic Writing Month.
A bowl of cod chowder.
A bowl of chili.
A picture of a head of lettuce (Liz Truss).
Figure 2 showing preferred medium for each emotional appeal.
Figure 1 showing differences in rates of emotional appeals by medium.
Abstract for "Aimed Emotions in American Presidential Politics."