In Brief

Details

It is commonplace to identify an increasingly tight connection between the views white Americans hold about Black people and their partisanship. These trends appear in snapshots of the U.S. public since the 1980s and in work tracking the attitudes of the same respondents between 2011 and 2024. While the conventional view is that this comes from people switching parties, I previously offered evidence that since 2008, this conventional view is complemented by one where some whites are actually changing their attitudes to fit with their partisanship. These shifts appear sincere, and have paid off in white Democrats increasingly favoring Black politicians in part out of a desire to address racial inequality. These shifts, too, may help explain partisan polarization on child socialization following the 2020 Black Lives Matter protests and ensuing debate about school curricula.

But the argument I advanced hinged on the background social and political context, with the evidence accumulated ending in 2016. And much has changed since then. So, with the release of the 2024 American National Election Study, I found it useful to update my analysis with these new data. I also apply a statistical method more appropriate for identifying attitudinal shifts within individuals.

While preliminary until the ANES finalizes the 2024 release, I find a continued bidirectional relationship between whites’ views of Black Americans and their partisanship. But this is isolated to a racial attitude measure that divides respondents according to how much they attribute Black Americans’ social and economic status to individual effort or systemic discrimination.1 One probing how people think generally about Black Americans in relation to white Americans sees some evidence of party-driven attitude change, and no evidence of party switching on the basis of the attitude.

While this has many substantive and theoretical implications, I want to note first some empirical ones. First, it reinforces the need for apporpriate research designs when wanting to explain (changing) cross-sectional correlations. Second, it requires researchers be attuned to the fact that racial attitudes or partisanship can matter indirectly, even if they do not carry significant coefficients in a regression.2 Racial attitudes contain whites’ politics and whites’ partisan preferences contain their racial attitudes. Showing that racial attitudes, measured in 2020 or 2024, predict some policy opinion or antidemocratic outlook isn’t a pure assessment of that attitude. It’s also capturing white folks’ political commitments, even if those political commitments are controlled for in the model, because the influence occurred temporally prior to their assessment.

In my view, the best solution is to use multiple racial attitude measures to test the same hypothesis, and think carefully about what one’s predictors incorporate. Follow Telser’s lead and use racial attitudes measured temporally prior to when the outcome of interest is measured. Or if one wants to take advantage of the attitude after it has changed, be clear about these attitudes’ ingredients.

These changes also open the door for interesting new research opportunities around partisanship and coalition construction. We think about preference for coalition partners as often preceding party selection. This evidence points to outlooks toward coalition partners developing as a consequence of party membership.

Technical Information

Updating Bidirectionality Test with New Data and Method

I test formally whether partisanship matters, and contrast it with the typical explanation, using these same data. This procedure updates my prior published work with a different statistical technique applied to the ANES panel. Previously, I used a cross-lagged panel model to test whether knowing, for instance, someone’s partisanship at one point in time offered any information on their future racial attitudes after accounting for that person’s initial racial attitude. This approach however can provide misleading results by conflating characteristics that are stable across individuals but that shift synchronously over time with individual-level changes in the attitudes at hand. By mixing trait and state features of partisanship and racial attitudes, my previous tests did not actually pinpoint changes in partisanship as upstream from changes in racial attitudes. I thus use a random intercepts cross-lagged panel model that separates out this trait and state variation to highlight relationships between partisanship and racial attitudes that are related to features between individuals and are stable in period considered in contrast to within-individual fluctuations in racial attitudes and partisanship.3

The figure below reports the parameter estimates from two different models: one using racial resentment (top panel) and the other using relative white favorability (bottom panel). The left portion of each figure shows that, on average through this period, both racial attitudes correlate highly with partisanship, and especially so for racial resentment.

The panels also show that a bidirectional relationship exists in this period, but one limited to racial resentment. The right portion of Panel A reports estimated autoregressive (arrows pointing left to right) and cross-lagged (diagonal arrows) effects. These effects show whether an individual’s unique state in one period carried over into the next period. The estimates show carryover effects for both racial resentment and partisanship, where period-specific fluctuations persist over time. This is consistent with strengthening partisan attachments in the polarization literature. It is also informative that racial resentment itself changed over time, separate from any influence from partisanship.

The diagonal arrows show that these fluctuations also influenced the other orientation. Temporary deviations in 2016 from long-run partisanship in this period influenced racial resentment in 2020, and vice versa for racial resentment to partisanship. This is evidence for a bidirectional relationship. Substantively, this means that heightened Republican partisanship translated into more negative attitudes or heightened Democratic partisanship translated into more positive views. Similarly, temporarily increased racial resentment led white Americans to strengthen their attachments to the Republican party while decreases led whites to the Democratic party. And this pattern persisted between 2020 and 2024.

**Individual-level change in Partisanship and Racial Attitudes. Results from random intercepts cross-lagged panel model.**

Individual-level change in Partisanship and Racial Attitudes. Results from random intercepts cross-lagged panel model.

The bottom panel shows limited bidirectional influence specifically or temporal influence generally when using the favorability measure. While partisanship strengthens over time, no such pattern holds for favorability. The estimates also only point to one significant cross-lagged effect, with deviations in partisanship in 2020 having a downstream effect on favorability in 2024–heightened Republicanism aligns with greater pro-White favorability over time. While previously I found evidence for dynamic relations between partisanship and affect, that could be due to the specific contexts I considered or the estimation strategy used.


  1. This measure, known as racial resentment, has a contentious history. But I use it to take seriously its intention to capture the “political role of whites’ racial attitudes,” a view which can account for its clearer connections with partisanship than other manifestations fo racial attitude.↩︎

  2. Dan Hopkins’s Stable Condition offers a nice treatment of this inferential challenge in the context of healthcare attitudes.↩︎

  3. State and trait could be differentiated as, for instance, feeling anxious versus having an anxious personality. The model asks whether temporary deviations in anxiety, say slightly hightened levels, have future consequences.↩︎