Skip to main content

Advertisement

Log in

Who is Punished? Conditions Affecting Voter Evaluations of Legislators Who Do Not Compromise

  • Original Paper
  • Published:
Political Behavior Aims and scope Submit manuscript

Abstract

In American politics, legislative compromise is often seen as a necessary and desirable aspect of policymaking, yet people also value politicians who stick to their positions. In this article, we consider these conflicting expectations of legislators and ask two intertwined questions: what conditions lead people to punish legislators for not compromising (when legislative action is at stake) and, conversely, what conditions leave people more willing to overlook a legislator’s unwillingness to engage in compromise? Relying on previous research, we suggest that legislator gender, legislator partisanship, and issue area may all affect which legislators are punished for not compromising. Relying on two national experiments, we demonstrate that the extent to which lawmakers are punished for not compromising is conditional on the intersection of the three factors in this study. In general, our results suggest that people may be most willing to overlook unwillingness to engage in compromise when party, gender and issue ownership align than when party, gender, and issue ownership are at odds.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

Notes

  1. The general electorate may favor legislators who support bipartisan compromises (Carson et al. 2010), even if primary electorates do not (Burden 2004).

  2. We conducted a content analysis of news stories from across the country about women in politics over the last three years. In our sample of 54 relevant news stories, we find that 13 % of the articles discussed female lawmakers and compromising. This is a considerable number of stories given that news coverage is generally more likely to focus on more conflictual topics and less likely to focus on issues such as compromise (Groeling 2010). As Kahn (1996) finds, for example, female candidates for Senate are more likely to get “trait” coverage than issue coverage – which increases the likelihood of stories painting women as compromising. See Web Appendix 1 for more details on the coding of this content analysis.

  3. Of course, female politicians are not always punished for breaking with stereotypes (see, for example Brooks 2013; Dolan 2014; Krupnikov and Bauer 2014) so it remains an open question as to whether women are punished for not compromising.

  4. This premise holds so long as issue area under consideration is important to how people evaluate legislators (Krosnick 1988).

  5. Both parties pursue these legislative issues, and both issues have received bipartisan support in recent years. Recent reforms like the Energy Savings and Industrial Competitiveness Act of 2013 have garnered bipartisan support in Congress (e.g., the bill had 9 Republican and 8 Democratic cosponsors and was reported from committee on a bipartisan voice vote). Likewise, both parties have championed initiatives on early childhood education in recent years and reforms often garner bipartisan support. For instance, the 2007 reauthorization of the Head Start program passed with 227 Democrats and 154 Republicans voting yea.

  6. Recruited via Amazon’s Mechanical Turk (Berinsky et al. 2012) between October 25 and November 3, 2013. Given that this pre-test uses a different sample than our main study, we also replicated these results using an SSI sample in a study run from April 19 to April 23, 2016. This second test demonstrates similar patterns in issue ownership.

  7. We conducted the pre-test of candidate photos with a separate sample of participants on Amazon’s Mechanical Turk in September 2012, N = 129. We found no significant differences in the average ratings of the female or male legislator in terms of age, education, or attractiveness. See Web Appendix 3 for more details.

  8. Following Gaines, Kuklinski, and Quirk (2007), a control condition is not necessary since we are interested in testing whether evaluations of legislators are affected by their willingness to compromise, and are not interested in whether the compromise or non-compromise condition is driving the effect. Moreover, in the absence of additional information in a control condition, individuals may infer from recent news coverage that legislators would not compromise.

  9. This approach requires dropping participants who did not identify with any party. Initially, 28.6 % of participants in Study 1 and 26.9 % of participants in Study 2 reported they were “pure” Independents (meaning they did not lean toward a party). On the next screen, pure Independents were asked to select the partisan category that is most like them. Among these independents, all but 4 of the participants in Study 1 and all participants in Study 2 selected a partisan category.

  10. All outcome variables and gender treatments were pre-tested. See Web Appendix 3 for details.

  11. A randomization check shows that demographics do not jointly predict group assignment in either study (Study 1: χ2[28] = 17.83, p = 0.9303; Study 2: χ2[28] = 25.63, p = 0.5936).

  12. Mean evaluations for each condition and each dependent variable are included in Web Appendix 5. We opt for the difference-in-differences approach rather than ANOVA because we predict specific group differences and conditional dynamics.

  13. Averaging across conditions (to retain power) for each legislator gender and partisanship, we find the cost of not compromising is smaller among self-identified Republicans than Democrats [consistent with patterns from surveys (Pew 2012)], but not different across participant gender.

  14. At the end of the survey, we asked participants “if members do not compromise on [energy/early childhood education] legislation, which of the following is most likely to happen?” Response options were “Democrats pass own version of the legislation”, “Republicans pass own version of the legislation,” and “Gridlock over the legislation and nothing passes”. 64 % of participants in Study 1, and 62 % of participants in Study 2 thought that gridlock would result. The type of issue may matter as well. Support for compromise, even in the face of gridlock, may be lower on non-consensus issues (Flynn and Harbridge 2016).

  15. Reported difference is p < 0.01. We similarly observe that the female legislator pays a significantly higher cost for not compromising than the male legislator when we consider the leadership outcome measures. Full results are presented in Web Appendix 6.

  16. The results on our remaining two outcome measures mirror these patterns, although we do observe a small but statistically significant gender difference for candidates of the opposing party on the representative measure. Still, the pattern is much more consistent across all three measures for the representative of the same party, and inconsistent for the opposing party representative. This is shown in Web Appendix 6.

  17. As we demonstrate in Web Appendix 6, we observe the same patterns across all three outcome measures. In none of the three outcome measures is the effect of not compromising larger for women in the other party than for women of one’s own party.

References

  • Adler, E. S., & Wilkerson, J. D. (2013). Congress and the politics of problem solving. New York: Cambridge University Press.

    Google Scholar 

  • Alexander, D., & Anderson, K. (1993). Gender as a factor in the attribution of leadership traits. Political Research Quarterly, 46, 526–545.

    Article  Google Scholar 

  • Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012). Evaluating online labor markets for experimental research: Amazon.com’s Mechanical Turk. Political Analysis, 20(3), 351–368.

    Article  Google Scholar 

  • Berinsky, A. J., Margolis, M., & Sances, M. (2014). Separating the Shirkers from the workers? Making sure respondents pay attention on self-administered surveys. American Journal of Political Science, 58, 739–753.

    Article  Google Scholar 

  • Binder, S. A., & Lee, F. E. (2013). Making deals in Congress. In J. Mansbridge & C. J. Martin (Eds.), Negotiating agreement in politics (pp. 54–72). Washington D.C.: American Political Science Association.

    Google Scholar 

  • Brooks, D. J. (2013). He runs, she runs. Princeton: Princeton University Press.

    Google Scholar 

  • Burden, B. C. (2004). Candidate positioning in US congressional elections. British Journal of Political Science, 34, 211–227.

    Article  Google Scholar 

  • Carson, J. L., Koger, G., Lebo, M. J., & Young, E. (2010). The electoral costs of party loyalty in Congress. American Journal of Political Science, 54(3), 598–616.

    Article  Google Scholar 

  • Cowan, R. (2013). Record number of women sworn into new U.S. Congress. http://articles.chicagotribune.com/2013-01-03/news/sns-rt-us-usa-congress-womenbre9020kt-20130103_1_women-members-tammy-baldwin-record-number. Accessed 4 Feb 2013.

  • Dahl, R. A. (1956). A preface to democratic theory. Chicago: University of Chicago Press.

    Google Scholar 

  • Doherty, D. (2013). To whom do people think representatives should respond: their district or the country? Public Opinion Quarterly,. doi:10.1093/poq/nfs052.

    Google Scholar 

  • Doherty, D. (2015a). How policy and procedure shape citizens’ evaluations of senators. Legislative Studies Quarterly, 40(2), 241–272.

    Article  Google Scholar 

  • Doherty, D. (2015b). Perceived motives in the political arena. American Politics Research, 43(3), 363–393.

    Article  Google Scholar 

  • Dolan, K. A. (2008). Is there a “Gender affinity effect” in American politics? information, affect, and candidate sex in U.S house elections. Political Research Quarterly, 61(1), 79–89.

    Article  Google Scholar 

  • Dolan, K. A. (2014). When does gender matter? women candidates and gender stereotypes in American elections. New York: Oxford Univeristy Press.

    Book  Google Scholar 

  • Eagly, A. H. (2007). Female leadership advantage and disadvantage: resolving the contradictions. Psychology of Women Quarterly, 31(1), 1–12.

    Article  Google Scholar 

  • Eagly, A. H., & Carli, L. L. (2003). The female leadership advantage: an evaluation of the evidence. The Leadership Quarterly, 14, 807–834.

    Article  Google Scholar 

  • Eagly, A. H., & Karau, S. J. (2002). Role congruity theory of prejudice toward female leaders. Psychological Review, 109(3), 573.

    Article  Google Scholar 

  • Egan, P. J. (2013). Partisan priorities: how issue ownership drives and distorts American politics. New York: Cambridge University Press.

    Book  Google Scholar 

  • Elis, R., Hillygus, D. S., & Nie, N. (2010). The dynamics of candidate evaluations and vote choice in 2008: looking to the past or future? Electoral Studies, 29(4), 582–593.

    Article  Google Scholar 

  • Flynn, D. J., & Harbridge, L. (2016). How Partisan conflict in Congress affects public opinion: strategies, outcomes, and issue differences. American Politics Research. doi:10.1177/1532673X15610425.

  • Forsyth, D. R. (1980). A taxonomy of ethical ideologies. Journal of Personality and Social Psychology, 39(1), 175–184.

    Article  Google Scholar 

  • Fox, R., & Oxley, Z. (2003). Gender stereotyping in state executive elections: candidate selection and success. Journal of Politics, 65, 833–850.

    Article  Google Scholar 

  • Fridkin, K. L., & Kenney, P. J. (2009). The role of gender stereotypes in U.S. senate campaigns. Politics & Gender, 5(03), 301–324.

  • Fridkin, K. L., & Kenney, P. J. (2010). Gender Differences in Presentation of Self: An Examination of Press Releases for U.S. Senators. Paper presented at the Annual Meeting of the American Political Science Association, Washington D.C.

  • Fridkin, K. L., & Kenney, P. J. (2015). The Changing Face of Representation: The Gender of U.S. Senators and Constituent Communications. Ann Arbor University of Michigan Press.

  • Gaines, B. J., Kuklinski, J. H., & Quirk, P. J. (2007). The logic of the survey experiment reexamined. Political Analysis, 15(1), 1–20.

    Article  Google Scholar 

  • Green, D., Palmquist, B., & Schickler, E. (2002). Partisan hearts and minds. New Haven: Yale University Press.

    Google Scholar 

  • Groeling, T. (2010). When politicians attack: party cohesion in the media. New York: Cambridge University Press.

    Book  Google Scholar 

  • Gutmann, A., & Thompson, D. (2012). The spirit of compromise: why governing demands it and campaigning undermines it. Princeton: Princeton University Press.

    Google Scholar 

  • Harbridge, L., & Malhotra, N. (2011). Electoral incentives and Partisan conflict in congress: evidence from survey experiments. American Journal of Political Science, 55(3), 1–17.

    Article  Google Scholar 

  • Harbridge, L., Malhotra, N., & Harrison, B. F. (2014). Public preferences for bipartisanship in the policymaking process. Legislative Studies Quarterly, 39(3), 327–355.

    Article  Google Scholar 

  • Hayes, D. (2011). When gender and party collide: stereotyping in candidate trait attribution politics & gender, 7, 133–165.

    Google Scholar 

  • Herrnson, P. S., Lay, J. C., & Stokes, A. K. (2003). Women running as ‘Women’: candidate gender, campaign issues, and voter targeting strategies. The Journal of Politics, 65(1), 244–255.

    Article  Google Scholar 

  • Hibbing, J. R., & Theiss-Morse, E. (2002). Stealth democracy. New York: Cambridge University Press.

    Book  Google Scholar 

  • Hitchon, J. C., Chang, C., & Harris, R. (1997). Should women emote? Perceptual bias and opinion change in response to political ads for candidates of different genders. Political Communication, 14(1), 49–69.

    Article  Google Scholar 

  • Huddy, L., & Terkildsen, N. (1993). Gender stereotypes and the perception of male and female candidates. American Journal of Political Science, 37, 119–147.

    Article  Google Scholar 

  • Iyengar, S., Sood, G., & Lelkes, Y. (2012). Affect, not ideology: a social identity perspective on polarization. Public Opinion Quarterly, 76(3), 405–431.

    Article  Google Scholar 

  • Jackman, M. (2013). More women = less gridlock: how 2014 & 2016 may reshape politics. Fixgov: Making Government Work (Vol. 2015): Brookings.

  • Kahn, K. F. (1996). The political consequences of being a woman: how stereotypes influence the conduct and consequences of political campaigns. New York: Columbia University Press.

    Google Scholar 

  • Kittilson, M. C., & Fridkin, K. L. (2008). Gender, candidate portrayals and election campaigns: a comparative perspective. Politics & Gender, 4(3), 264–290.

    Article  Google Scholar 

  • Klar, S. (2014). Partisanship in a social setting. American Journal of Political Science, 58(3), 687–704.

    Article  Google Scholar 

  • Krosnick, J. A. (1988). The role of attitude importance in social evaluation: a study of policy preferences, presidential candidate evaluations, and voting behavior. Journal of Personality and Social Psychology, 55(2), 196–210.

    Article  Google Scholar 

  • Krupnikov, Y., & Bauer, N. (2014). The relationship between campaign negativity. Gender and Campaign Context. Political Behavior, 36(1), 167–188.

    Article  Google Scholar 

  • Lawless, J. L., & Theriault, S. M. (2016). Sex, bipartisanship, and collaboration in the U.S. Congress. Political Parity ‘Impact’ Project.

  • Leeper, M. S. (1991). The impact of prejudice on female candidates: an experimental look at voter inference. American Politics Research, 19(2), 248–261.

    Article  Google Scholar 

  • Mayhew, D. R. (1974). Congress: the electoral connection. New Haven: Yale University Press.

    Google Scholar 

  • Mooney, C. Z., & Schuldt, R. G. (2008). Does morality policy exist? testing a basic assumption. Policy Studies Journal, 36(2), 199–218.

    Article  Google Scholar 

  • Paris, C. (2014). Producing Legislation, Winning, or Displaying virtue? Why (and When) Citizens Care About Bipartisansip. Paper presented at the Annual Meeting of the American Political Science Association, Washington D.C., August 28–31, 2014.

  • Petrocik, J. R. (1996). Issue ownership in presidential elections, with a 1980 case study. American Journal of Political Science, 40(3), 825–850.

    Article  Google Scholar 

  • Pew (2012). Trends in American values: 1987–2012. http://www.people-press.org/files/legacy-pdf/06-04-12%20Values%20Release.pdf. Accessed 9 July 2012.

  • Pew (2014). Political polarization in the American public: how increasingly ideological uniformity and partisan antipathy affect politics, compromise and everyday life. In Pew Research Center (Ed.), (pp. Section 4, page 56; Section 52, page 32).

  • Pew (2015). Pew research center for the people & the press political survey Q. 33, March 25–29, 2015. In Pew Research Center (Ed.).

  • Ryan, T. J. (2016). No compromise: political consequences of moralized attitudes. American Journal of Political Science,. doi:10.1111/ajps.12248.

    Google Scholar 

  • Sanbonmatsu, K. (2002). Gender stereotypes and vote choice. American Journal of Political Science, 46(1), 20–34.

    Article  Google Scholar 

  • Sanbonmatsu, K., & Dolan, K. (2009). Do gender stereotypes transcend party? Political Research Quarterly, 62(3), 485–494.

    Article  Google Scholar 

  • Sapiro, V. (1981). If senator baker were a woman: an experimental study of candidate images. Political Psychology, 3(1/2), 61–83.

    Article  Google Scholar 

  • Schaffner, B. F., & Sellers, P. J. (2003). The structural determinants of local congressional news coverage. Political Communication, 20(1), 41–57.

    Article  Google Scholar 

  • Schneider, M. C. (2014). Gender-based strategies on candidate websites. Journal of Political Marketing, 13(4), 264–290.

    Article  Google Scholar 

  • Sinclair, L., & Kunda, Z. (1999). Motivated reasoning with stereotypes: activation, application, and inhibition. Psychological Inquiry, 10(1), 12–22.

    Article  Google Scholar 

  • Smith, S. S., & Park, H. M. (2013). Americans’ attitudes about the senate Filibuster. American Politics Research, 41(5), 735–760.

    Article  Google Scholar 

  • Swers, M. (2002). The difference women make: the policy impact of women in Congress. Chicago: University of Chicago Press.

    Google Scholar 

  • Swers, M. (2007). Building a reputation on national security: the impact of stereotypes related to gender and military experience. Legislative Studies Quarterly, 32(4), 559–595.

    Article  Google Scholar 

  • Swers, M. (2013). Women in the club: gender and policy making in the senate. Chicago: University of Chicago Press.

    Book  Google Scholar 

  • Volden, C., Wiseman, A. E., & Wittmer, D. E. (2013). When are women more effective lawmakers than men? American Journal of Political Science, 57(2), 326–341.

    Article  Google Scholar 

  • Warren, M., & Mansbridge, J. (2013). Deliberative negotiation. In J. Mansbridge & C. J. Martin (Eds.), Negotiating agreement in politics (pp. 86–120). Washington D.C.: American Political Science Association.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Laurel Harbridge Yong.

Ethics declarations

Ethical approval

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Informed consent

Informed consent was obtained from all individual participants included in the study.

Additional information

Replication files are available on the Political Behavior Dataverse website, study doi:10.7910/DVN/UYUZYA. The authors thank the Dirksen Congressional Center for funding part of this study. We also thank Kim Fridkin, Georgia Kernell, Neil Malhotra, Spencer Piston, John Barry Ryan, Monica Schneider, Sergio Wals, Sara Yeganeh, and participants at the Yale CSAP Workshop on Quantitative Research Methods, Wisconsin American Politics Workshop, and Chicago Area Political and Social Behavior Conference for helpful feedback. We also thank the editor and two anonymous reviewers for their comments and suggestions.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 266 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bauer, N.M., Yong, L.H. & Krupnikov, Y. Who is Punished? Conditions Affecting Voter Evaluations of Legislators Who Do Not Compromise. Polit Behav 39, 279–300 (2017). https://doi.org/10.1007/s11109-016-9356-6

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11109-016-9356-6

Keywords

Navigation