Fe y Politicas: Latino Evangelical Vote Choice in the 2020 Presidential Election
Abstract
:1. Introduction
While research on religion and Latino political behavior is still developing, existing studies suggest that religion plays a significant role in shaping partisanship and voter behavior, with Evangelicals of color generally holding more conservative views than their non-Evangelical counterparts (Kelly and Kelly 2005; Wong 2018).“People were surprised about a lot of Hispanic folks who voted for Trump, but there was a lot of Evangelical Hispanics who—the fact that Trump says racist things about Mexicans, or puts detainees, undocumented workers in cages—they think that’s less important than the fact that he supports their views on gay marriage or abortion.”
2. Literature Review
2.1. History of Religion and Politics
2.2. Contemporary Politics and the Influence of Religion
2.3. Latinos, Religion, and Voting Behavior
2.4. Explaining the Latino Vote
3. Theory
4. Hypotheses
5. Materials and Methods
5.1. Data/Variables and Measurement
5.1.1. Presidential Vote Choice
5.1.2. Evangelical
5.1.3. Party Affiliation
5.1.4. Immigration Status
5.1.5. Control Variables—Education, Age, and Gender
5.2. Methodology
6. Results
7. Discussion
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Appendix A
- Model A examines the relationship between Latino identity and vote choice, demonstrating that being Latino was significantly associated with voting for the Democratic candidate.
- Model B replicates Model 1, extending the analysis to the general electorate to assess the broader impact of Evangelical identity on vote choice.
- Model C replicates Model 2, analyzing the interaction between age and Evangelical identity to further explore generational differences in political behavior.
- Lastly, Model D and Model E are replications of Model 1 and Model 2 using ANES data and provide an additional robustness check, ensuring the validity of the findings across different datasets.
Appendix A.1. Vote Breakdown
JOE BIDEN | 51% |
DONALD TRUMP | 47% |
JOE BIDEN | ~65% |
DONALD TRUMP | ~32% |
Appendix A.2. The Impact of Latino Identity
Regression Showing Latino as a Variable | ||||
Coefficient | Standard Error | z | p > z | |
Evangelical | −0.739 | 0.253 | −2.92 | 0.003 ** |
Education | 0.234 | 0.061 | 3.84 | 0.000 *** |
Party Affiliation | 7.206 | 0.287 | 25.12 | 0.000 *** |
Immigrant Generation | −0.136 | 0.105 | −1.30 | 0.194 |
Latino | 1.004 | 0.368 | 2.73 | 0.006 ** |
Constant | −5.635 | 0.771 | −7.31 | 0.000 *** |
Pseudo-R2-squared | 0.14 | |||
Model A | ||||
* = Significant at 0.05; ** = Significant at 0.001; *** = Significant at 0.000. |
Appendix A.3. Comparing to the General Population
Looking at the General Population (Without Interactions) | ||||
Coefficient | Standard Error | z | p > z | |
Evangelical | −0.831 | 0.243 | −3.41 | 0.001 ** |
Age | 0.768 | 0.250 | 3.07 | 0.002 ** |
Education | 0.134 | 0.052 | 2.58 | 0.010 * |
Party Affiliation | 6.936 | 0.261 | 26.61 | 0.000 *** |
Immigrant Generation | −0.0140 | 0.122 | −0.11 | 0.909 |
Gender | −0.0012 | 0.234 | −0.01 | 0.995 |
Constant | −4.754 | 0.789 | −6.03 | 0.000 *** |
Model B | ||||
* = Significant at 0.05; ** = Significant at 0.001; *** = Significant at 0.000. |
Looking at the General Population (With Interactions) | ||||
Coefficient | Standard Error | z | p > z | |
Evangelical | −0.585 | 0.398 | −1.47 | 0.142 |
Age | 0.770 | 0.316 | 2.44 | 0.015 * |
Evangelical * Age | 0.037 | 0.487 | 0.08 | 0.940 |
Education | 0.134 | 0.052 | 2.56 | 0.010 * |
Party Affiliation | 6.944 | 0.262 | 26.55 | 0.000 *** |
Immigration Gen | −0.014 | 0.123 | −0.11 | 0.909 |
Gender | 0.209 | 0.306 | 0.68 | 0.495 |
Gender * Evangelical | −0.514 | 0.475 | −1.08 | 0.279 |
Constant | −4.868 | 0.804 | −6.05 | 0.000 |
Model C | ||||
* = Significant at 0.05; ** = Significant at 0.001; *** = Significant at 0.000. |
Appendix A.4. ANES Replications
ANES Replication | ||||
Coefficient | Standard Error | z | p > z | |
Evangelical | −0.1824 | 0.0587 | 3.108 | 0.002 ** |
Age | 0.2178 | 0.0692 | 3.382 | 0.001 ** |
Education | 0.1473 | 0.0489 | 3.098 | 0.002 ** |
Party Affiliation | 0.4037 | 0.0196 | 5.588 | 0.000 *** |
Gender | 0.2529 | 0.1768 | 1.431 | 0.152 |
Constant | 0.2486 | 0.0793 | 3.356 | 0.000 *** |
Pseudo-R-Squared | 0.05 | |||
Model D (n = 822) | ||||
* = Significant at 0.05; ** = Significant at 0.001; *** = Significant at 0.000. |
ANES Replication with Interactions | ||||
Coefficient | Standard Error | z | p > z | |
Evangelical | −0.1987 | 0.0598 | −3.324 | 0.001 ** |
Age | 0.1524 | 0.0119 | 2.513 | 0.012 * |
Evangelical * Age | 0.357 | 0.4185 | 0.853 | 0.395 |
Education | 0.472 | 0.1881 | −2.512 | 0.001 ** |
Party Affiliation | 0.4982 | 0.0124 | 4.017 | 0.000 *** |
Gender | 0.1476 | 0.2089 | 0.707 | 0.479 |
Gender * Evangelical | −0.8921 | 0.9831 | −0.91 | −0.361 |
Constant | 0.2984 | 0.0847 | 3.524 | 0.000 *** |
Pseudo-R-Squared | 0.18 | |||
Model E (n = 822) | ||||
* = Significant at 0.05; ** = Significant at 0.001; *** = Significant at 0.000. |
1 | Keep in mind that while this is the theoretical framework that is applied to this study, it is important to note that the analyses in this article are correlative rather than causal, as cross-sectional data is utilized. |
2 | The research reported in this publication was supported by the National Institute on Aging of the National Institutes of Health and in part by the Social Security Administration under Award Number U01AG077280. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. |
3 | Please note that in the replication using ANES data, which can be found in Appendix A, “generation” was left out due to their not being a continuous variable that captures the unique experience of being second and third generations. |
4 | The author recognizes the issues that come with coding gender as binary, but this is how the survey was designed for this poll. |
5 | No reverse coding was performed. A sufficiently negative interaction term can offset or even reverse the original relationship within the evangelical subgroup, leading to the observed shift in direction. |
6 | This can be found in Appendix A. |
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Coefficient | Standard Error | z | p > z | |
---|---|---|---|---|
Evangelical | −0.831 | 0.243 | −3.41 | 0.001 ** |
Age | 0.768 | 0.250 | 3.07 | 0.002 ** |
Education | 0.134 | 0.052 | 2.58 | 0.010 * |
Party Affiliation | 6.936 | 0.261 | 26.61 | 0.000 *** |
Immigrant Generation | −0.0140 | 0.122 | −0.11 | 0.909 |
Gender | −0.002 | 0.234 | −0.01 | 0.995 |
Constant | −4.754 | 0.789 | −6.03 | 0.000 *** |
Pseudo-Rsquared | 0.143 | |||
(n = 532) |
Coefficient | Standard Error | z | p > z | |
---|---|---|---|---|
Evangelical | −4.096 | 1.575 | 2.60 | 0.009 ** |
Age | 4.193 | 1.781 | 2.35 | 0.019 * |
Evangelical * Age | −0.895 | 2.372 | 0.38 | 0.706 |
Education | 0.482 | 0.209 | 2.31 | 0.021 * |
Party Affiliation | 11.902 | 2.232 | 5.33 | 0.000 *** |
Immigrant Generation | 0.439 | 0.341 | 1.29 | 0.197 |
Gender | 0.948 | 1.094 | 0.87 | 0.386 |
Gender * Evangelical | 1.060 | 2.277 | 0.47 | 0.642 |
Constant | −12.714 | 3.479 | 3.65 | 0.000 *** |
Pseudo-R-squared | 0.153 | |||
(n = 532) |
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Cuellar, J.R. Fe y Politicas: Latino Evangelical Vote Choice in the 2020 Presidential Election. Religions 2025, 16, 708. https://doi.org/10.3390/rel16060708
Cuellar JR. Fe y Politicas: Latino Evangelical Vote Choice in the 2020 Presidential Election. Religions. 2025; 16(6):708. https://doi.org/10.3390/rel16060708
Chicago/Turabian StyleCuellar, Jarred R. 2025. "Fe y Politicas: Latino Evangelical Vote Choice in the 2020 Presidential Election" Religions 16, no. 6: 708. https://doi.org/10.3390/rel16060708
APA StyleCuellar, J. R. (2025). Fe y Politicas: Latino Evangelical Vote Choice in the 2020 Presidential Election. Religions, 16(6), 708. https://doi.org/10.3390/rel16060708