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The Way She Moves: Political Repositioning and Gender Stereotypes

Published online by Cambridge University Press:  25 April 2024

Maurits J. Meijers*
Affiliation:
Department of Political Science, Radboud University Nijmegen, Nijmegen, Netherlands
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Abstract

Research on policy shifts has found that repositioning can be costly as it affects candidates’ perceived honesty, reliability, and competence. It remains unclear, however, whether a politician’s gender affects perceptions of repositioning. Research on gender stereotypes has found that while male politicians are viewed as more competent, decisive, and displaying strong leadership, female politicians are believed to be more honest. Applying expectancy-violation theory, I test the hypothesis that the reputational cost of repositioning is more pronounced for female politicians in a preregistered survey experiment fielded on a large convenience sample in Flanders, Belgium (n = 6,957). I find that while frequent repositioning is evaluated negatively, the negative effect of repositioning is not more pronounced for female candidates than for male candidates on most outcome measures.

Type
Research Article
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This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2024. Published by Cambridge University Press on behalf of American Political Science Association

Introduction

Research on party policy shifts and political repositioning has found that it can be costly for politicians to change their policy stances (Andreottola Reference Andreottola2021; Doherty et al. Reference Doherty, Dowling and Miller2016; Sigelman and Sigelman Reference Sigelman and Sigelman1986; Tomz and Van Houweling Reference Tomz and Van Houweling2016). Candidates who change their positions are seen as less honest, less reliable, and less competent (McCaul et al. Reference McCaul1995). Studies in social psychology have called this the “waffle-phenomenon”: when a person changes their mind – i.e., when they “waffle” – they are perceived by others to be weaker, less honest, and less sincere (Allgeier et al. Reference Allgeier1979).

It remains unclear, however, how the politician’s gender affects citizens’ appraisal of repositioning. In this paper, I test the hypothesis that women are punished more strongly for frequent repositioning. Given limited time and resources, citizens rely on heuristic cues for opinion formation about political candidates, such as the candidates’ partisanship and gender. Research on gender stereotypes in politics has found that voters ascribe different personality and competence characteristics to female and male politicians (Dolan and Lynch Reference Dolan and Lynch2014). While male politicians are viewed as more decisive, and displaying strong leadership, female politicians are believed to be more honest, expressive, and compassionate (Alexander and Andersen Reference Alexander and Andersen1993; Huddy and Terkildsen Reference Huddy and Terkildsen1993). These gender-trait stereotypes have been shown to affect candidate perceptions (Huddy and Terkildsen Reference Huddy and Terkildsen1993). Personality traits perceived as “male” are moreover considered by citizens to be particularly important for political office (Lawless Reference Lawless2004).

Given that political repositioning has been found to impact precisely those personality characteristics affected by gender stereotypes, it is plausible that repositioning activates gender stereotypes about politics (Bauer Reference Bauer2015a; Kunda and Spencer Reference Kunda and Spencer2003). It is worth examining whether policy change by female politicians is evaluated differently than policy change by male politicians. If repositioning is associated with dishonesty, is a female’s politician violation of the gender stereotype that women are more honest particularly harmful? (Cassese and Holman Reference Cassese and Holman2018). This study sets out the answer to this question.

What is more, a secondary aim of this study is to examine whether repositioning by politicians is also perceived as a negatively valenced phenomenon in a European context. The majority of studies examining the reputational implications of repositioning have focused on the United States (but see Christensen and Fernandez-Vazquez Reference Christensen and Fernandez-Vazquez2022; Lupu Reference Lupu2014). Multiparty systems are marked by more inter-party compromise and coalition governments requiring a higher degree of policy flexibility of politicians. A number of recent studies also show that voters in European multiparty democracies tend to punish parties that have been willing to compromise in government coalitions (Fortunato and Adams Reference Fortunato and Adams2015; Fortunato Reference Fortunato2019; Klüver and Spoon Reference Klüver and Spoon2020). This suggests that citizens in multiparty democracies also perceive party policy change negatively. Conclusive evidence is lacking, however. After all, although politicians who change their positions can be dismissed as insincere, a willingness to change positions can also be welcomed as a sign of flexibility and adaptiveness.

To this end, I conduct a preregistered survey experiment in Flanders, Belgium in which I manipulate both the gender of the political candidate and whether they regularly change their position, or not – without priming respondents with the candidates' party affiliation or policy positions. Footnote 1 To explore whether gender stereotypes are mechanisms through which respondents evaluate the repositioning of male and female politicians, I explore whether perceived personality characteristics of honesty, decisiveness, and competence drive these findings.

As one of the first experimental studies on candidate repositioning in the European context, I find that candidates who frequently change their policy positions are evaluated less positively than those who reposition only infrequently. Hence, a distaste for repositioning is clearly not something limited to citizens in majoritarian systems, such as the US. However, this negative effect of repositioning is overall not more pronounced for female candidates than for male candidates. What is more, no differences are found in the perceptions of honesty, decisiveness, and competence for male and female repositioning candidates. This suggests that, at least in the case of Flanders, neither candidates’ gender nor cues about frequent (or infrequent) repositioning, as such, are sufficient to activate gender stereotypes in candidate evaluation.

In what follows, I will present the hypotheses of the study, followed by a discussion of the experimental design. Subsequently, the findings are presented after which I close with a conclusion.

Expectations

I expect that female politicians are punished more severely for frequent repositioning than male politicians. Previous research has shown that repositioning affects perceptions’ of candidate traits, such as honesty. Repositioning is likely to be perceived to go against the positively-valanced feminine stereotype of honesty and reliability (McCaul et al. Reference McCaul1995). Kunda and Spencer (Reference Kunda and Spencer2003) posit that stereotypes need activation before they can be applied. Bauer (Reference Bauer2015a) finds that gender stereotypes only play a role in the evaluation of political candidates once they have been activated. While stereotype activation can result from cues of gendered traits, it is also possible that situational cues and gendered behavioral expectations can activate cues Bauer (Reference Bauer2015a, p. 705). As such, it is plausible that repositioning activates gendered stereotypes about honesty, precisely because repositioning is associated with honesty, and honesty with feminine traits (see Kunda and Thagard Reference Kunda and Thagard1996). Expectancy-violation theory, in turn, suggests that candidates are evaluated more negatively when they violate stereotypical assumptions about their “group” (Brown et al. Reference Brown2018; Cassese and Holman Reference Cassese and Holman2018). Therefore, I expect that the reputational cost of repositioning is more negative for female politicians than for male politicians.

These reflections lead me to posit the following two preregistered hypotheses:

Hypothesis 1: A candidate who changes positions more often is evaluated more negatively than a candidate who changes positions less often.

Hypothesis 2: The negative effect of repositioning (vs. remaining steadfast) is stronger for female politicians than for male politicians.

An alternative expectation puts the hypothesized relationship on its head. While the preregistered hypotheses posit that expectancy-violation theory points to harsher evaluation of repositioning female candidates, repositioning by male politicians could also be regarded as a violation of male stereotypes concerning decisiveness. This could mean that male politicians can also suffer from stereotype-violation, albeit for a different associated trait. Given the prevalence of stereotype-based attacks against female politicians (Cassese and Holman Reference Cassese and Holman2018) and pervasive sexism (Cassese and Holman Reference Cassese and Holman2019; Mansell and Gatto Reference Mansell and Gatto2022), however, I expect that stereotype violation has a more pronounced negative effects on evaluations of female than male representatives.

To explore whether, and how, gender stereotypes affect candidate evaluations, I also examine whether the interaction effect between the gender of the politician and repositioning is determined by the personality traits perceptions of honesty, decisiveness, and competence.

Research design

To test my expectations, I conducted a preregistered survey experiment in Flanders, Belgium in December 2022. Footnote 2

Participants were recruited from a Flemish panel of users of the voting advice application “Election Compass,” and were aged 18 or older. The panel is constituted on opt-in basis with Voting Advice Application (VAA) users willing to be recontacted. While non-probability samples can produce biased samples, it has been found that there are no marked differences between effects found in survey experiments administered in convenience samples and in population samples (Krupnikov et al. Reference Krupnikov, Nam and Style2021).

The preregistration stated that 4000 respondents would be recruited, based on a power analysis conducted prior to the experiment (see Appendix A.2 in Supplementary material). To attenuate selection bias, the preregistration noted that quotas for age, gender, and education would be implemented. Data collection deviated from the preregistration, however, as quotas for age, gender, and education could not all be filled. Instead, the collected sample includes 6957 respondents and contains an over-representation of males and higher-educated individuals. In the main analyses, the sample average treatment effects are estimated with this sample. To address the issue of representativeness, post-stratification weights are used for robustness purposes (Franco et al. Reference Franco2017; Miratrix et al. Reference Miratrix2018, see). More information on the distribution of respondents in the weighted and unweighted samples as well as the post-stratification procedure can be found in Appendix A.3 in Supplementary Material.

Balance checks ascertain whether certain demographic groups are over-represented in one of the experimental treatment groups. While unbalanced covariates were found, analyses including unbalanced covariates did not yield different results (see Appendix A.7 in Supplementary Material).

The case: Flanders, Belgium

The experimental study is conducted in Flanders, the Dutch-speaking region of Belgium. The choice for Flanders was based on a “least-likely” case selection strategy. A “least-likely” case is a type of so-called “crucial cases,” used for hypothesis testing (Gerring Reference Gerring2006). “Least-likely” cases are useful if one finds an effect in a context that is geared toward not finding effect, it provides strong support for the theory. In other words, it presents a strong (i.e., “most-difficult”) test of the theory.

Flanders is a suitable “least likely case” for two reasons. First, stringent gender quotas, introduced in Belgium in 1994 and 2002, radically affected the composition of the various parliaments in Belgium and its three regions, Brussels, Flanders, and Wallonia (Vandeleene Reference Vandeleene2014). In 2019, 46 percent of the Members of Parliament in Flanders were female, compared to an EU average of 33 percent). Second, recent work has found that gender stereotypes are not strongly prevalent in Flanders (Devroe and Wauters Reference Devroe and Wauters2018; Devroe Reference Devroe2021). In contrast to cases like the United States, Devroe (Reference Devroe2021) found that Flemish voters hold stereotyped views only to a limited extent.

As such, while the “least likely” character of the Flemish case provides for a “hard” test of theory, the implication is that if an effect is found, this is likely broadly generalizable to context in which gender stereotypes are more prevalent, such as the US (Dolan Reference Dolan2010).

Experimental design

The survey is conducted online in Dutch, the official language of Flanders. After reading an informed consent message, participants were forwarded to the main questionnaire upon acceptance. Footnote 3 Pretreatment, respondents are asked about how important they find the three issues that appear in the treatments.

Subsequently, respondents were presented with two attention checks after which the experimental treatment was applied. The attention checks are modeled after Berinsky et al. (Reference Berinsky, Margolis and Sances2014) and adapted to the Flemish context. If a respondent fails the first attention check, a warning appears and the respondent can only continue with the survey once the respondent has correctly answered the question correctly. In the second attention check, respondents could continue the survey when they do not comply. In total, 85.93 percent of the respondents successfully completed the second attention check, while 14.07 percent failed it. Analyses in the appendix show that controlling for attentiveness as well as split-sample analysis of attentive and non-attentive respondents does not affect the substantive findings (see Table A.5 and Figure A.6 in Supplementary Material). Respondents who failed the attention checks were not dropped from the analysis as this could induce undue bias because inattentiveness is structured around respondents’ education levels, age, and gender (Berinsky et al. Reference Berinsky, Margolis and Sances2014).

The experiment is a 2 × 2 factorial experiment with two conditions: position change (frequent repositioning vs. infrequent repositioning) and candidate gender (male vs. female). This results in four different conditions. Of theoretical interest is thus the comparison between candidates who change positions frequently and those who change infrequently, as well as between male and female candidates. This means that the experimental test is comparative between these conditions. As such, the design does not include a “pure” control condition.

Respondents were presented with a fictitious candidate profile in an unspecified news source. The treatments are simulated “report cards” of politicians performance. In Flanders, the newspaper Het Nieuwsblad published similar articles in the run-up to the 2019 elections. Footnote 4 The treatments are headed by some general candidate information (city, place on the list, region) to increase experimental realism.

The profile signals the gender of the candidate by means of a fictitious photo and by means of the first name (“Koen” [male] or “Eva” [female]). The photo is generated with artificial intelligence from the platform Generated Photos. Using machine learning trained on 30,000 real photos taken in a controlled environment, Generated Photos produces faces of non-existent people. The photos used in the experiment are constant over number of photo-based and facial characteristics such as head pose, age, emotion, skin tone, hair color, and ethnic traits. Only the gender of photo is varied. Footnote 5

Position change is operationalized as relative repositioning. The repositioning scenario notes that the candidate has changed their position in the last years more frequently on three issues than other representatives without specifying the direction of the policy change. This approach allows us to specifically examine the valence implications of repositioning. Previous research has shown that policy direction may trump valence assessments of repositioning (Doherty et al. Reference Doherty, Dowling and Miller2016; Hoffman and Carver Reference Hoffman and Carver1984).

The text of the repositioning scenarios notes that the candidate particularly changed positions on three issues: childcare, climate policy, and immigration policy. The treatments in which the candidate does not frequently change position note that the candidates have changed their positions less than other representatives, being particularly steadfast on the same three policy issues. I specify specific issues for experimental realism. Given the existence of gender stereotypes on policy competence, the policy domains address a variety of issues with different associated stereotypes. Climate change policy is a domain in which no gendered competence stereotypes have been previously found (Devroe Reference Devroe2021; Swim and Geiger Reference Swim and Geiger2018). Immigration policy is seen as a stereotypically masculine policy domain (Dolan Reference Dolan2014; Dolan and Lynch Reference Dolan and Lynch2016). Childcare policy, by contrast, is often stereotyped as a feminine policy domain (Dolan Reference Dolan2014; Devroe and Wauters Reference Devroe and Wauters2018). What is more, the selected issues cover the relevant issue dimensions in Flemish politics related to socioeconomic policy, immigration, and the environment (Walgrave et al. Reference Walgrave, Lefevere and Tresch2012). The full stimulus text in English is presented in Figure 1. Figure 2 shows a translated example of a treatment.

Figure 1. Stimulus text translated to English.

Note: Treatment conditions shown in brackets with the different conditions separated with a forward slash.

Figure 2. Example of a treatment (translated).

After receiving the treatment, a number of dependent variables are measured. The main variables on which the preregistered hypotheses are tested are the overall evaluation of the candidate, the perceived trustworthiness of the candidate, and respondents’ vote intention for the candidate. Candidate evaluation and trustworthiness are measured on an 11-point scale from 0 to 10. Voten intention is measured as a dichotomous variable: Rather yes or Rather no. In order to explore the mechanisms of gendered reputational effects of repositioning, I additionally measure respondents’ assessment of the candidate’s honesty, decisiveness, and competence on an 11-point scale from 0 to 10. The vote intention variable is arguably a more stringent test of the hypotheses.

After the dependent variables, I ascertain whether the experimental treatment has worked using two manipulation checks. The first manipulation check asks the respondent whether the candidate in the scenario changed their position, or not. The second manipulation check asks which of which gender the political candidate was. Analyses in the appendix show that the findings are driven by respondents who succeeded in the manipulation check. Given that approximately 90 percent of the respondents succeeded in the manipulation check, this did not affect the findings in the main model.

The hypotheses will be tested using Ordinary Least Squares (OLS) regression analysis, I will use an $\alpha $ -value of 0.05 as the threshold for statistical significance.

Results

Is there a repositioning penalty on political candidates, and is it more pronounced for female politicians than male politicians? This section discusses the evidence from the survey experiment as well as several robustness tests.

Table 1 shows the treatment effects of the candidate’s gender and their repositioning using OLS regression analysis for the dependent variables evaluation trust, and vote intention. Footnote 6 The first two columns show that respondents evaluate parliamentary candidates who reposition more frequently than others much less positively. Candidates who reposition frequently are evaluated and trusted less by a whopping 10.22 percent and 11.12 percent, respectively (p value = 0.000). The effect on vote intention is smaller, with candidates who frequently change positions receiving ca. 2 percent fewer votes. This allows us to accept Hypothesis 1, which stipulates that candidates who reposition more than others bear higher reputational costs. Figure A.2 in Supplementary Material shows that this conclusion also applies to the other measured dependent variables (honesty, decisiveness, and competence), despite substantial variation between the different dependent variables.

Table 1. The effect of candidate gender and repositioning on candidate reputation

Standard errors in parentheses.

* $p \lt 0.05$ , ** $p \lt 0.01$ , *** $p \lt 0.001$ .

What is more, the first two columns of Table 1 suggest that – contrary to assumption of widespread sexism in politics – respondents generally evaluate the female politician more positively (p value = 0.029 [evaluation] and 0.000 [trust]). This, however, seems to be driven by the sample composition. Table A.3 in Supplementary Material shows that this effect is not present in a replication of the analysis with post-stratification weights.

The third and fourth columns of Table 1 test Hypothesis 2, which expected that respondents evaluate repositioning more negatively for female than male politicians. As the statically insignificant interaction effect between candidate gender and repositioning shows, this hypothesis has to be rejected (p value = 0.318 [evaluation], 0.365 [trust], and 0.185 [vote intention]). Although the coefficient of the interaction is negative as hypothesized, the evidence suggests that respondents do not evaluate repositioning differently for female and male candidates. Figure 3 shows that there are no significant effects for the interaction effect between candidate gender and repositioning for honesty (p value = 0.220), decisiveness (p value = 0.05), and competence (p value = 0.272). Footnote 7 I moreover do not find statistically significant differences between the various dependent variables. This is suggestive evidence that gender stereotypes were not a driving factor in candidate evaluation.

Figure 3. Coefficient plot for all six dependent variables.

These results are robust to a number of alternative model specifications. Balance tests show that treatment assignment was not completely random for a set of variables Footnote 8 . Figure A.7 in Supplementary Material shows that results are substantively the same when controlling for these covariates. Table A.5 in Supplementary Material shows moreover that controlling for attentiveness does not affect the results and Figure A.5 in Supplementary Material shows that the null finding is most pronounced in the attentive sample. Subsequently, I examine whether meeting the manipulation check, or not, affects the results. Table A.6 in Supplementary Material demonstrates that controlling for succeeding or failing the manipulation check does not alter the substantive findings. Figure A.6 in Supplementary Material shows that the main results are driven by respondents who succeeded in the manipulation check.

Since the raw sample strays far from representativeness, additional analyses using post-stratification weights on a reduced sample are conducted. Tables A.3 and A.4 in Supplementary Material show that the results as well as the size of the coefficients remain substantively similar when post-stratification weights are applied. Note also that the effect size of the negative effect of repositioning is comparable in the analyses with post-stratification weights.

Finally, I probe whether respondents’ gender and perceived issue importance of the three issues in the treatment affect the results. Figure A.3 in Supplementary Material shows a split-sample analysis for female and male respondents. The results show broadly comparable results across male and female respondents. Figure A.4 in Supplementary Material shows that the results are substantively similar for respondents who believe the three issues (childcare policy, climate policy, and immigration policy) to be less and more important. Footnote 9

All in all, the results point to a robust negative effect of repositioning, which is not moderated by the candidate’s gender.

Conclusion

This study examined the reputational effects of repositioning in the case of Flanders, Belgium, and whether these effects differ between female and male politicians. Repositioning has been shown to negatively affect citizens' evaluations of political candidates in the United States. To my knowledge, it presents the first study into the relationship between gender stereotypes and appraisals for repositioning candidates. What is more, this is one of the first studies experimentally examining the effect of policy change in the European context (see also Christensen and Fernandez-Vazquez Reference Christensen and Fernandez-Vazquez2022; Nasr and Hoes Reference Nasr and Hoes2023).

The hypothesis was posited that repositioning negatively affects the valence image of a political candidate. In addition, the hypothesis formulated the expectation that a female politician would suffer from greater reputational costs of repositioning than her male counterpart. This hypothesis was rooted in the idea that repositioning would violate the widely held gender stereotype that women are more “honest” than men (Alexander and Andersen Reference Alexander and Andersen1993; Dolan Reference Dolan2014; Huddy and Terkildsen Reference Huddy and Terkildsen1993).

The results show that repositioning is, as hypothesized, very costly for politicians. A political candidate who changes their position on policy regarding childcare, climate change, and immigration more frequently than their colleagues is evaluated less positively, is considered to be less trustworthy, receives less votes, and is perceived as less honest, less decisive, and less competent. The sizeable effect size of repositioning is in line with previous studies (Christensen and Fernandez-Vazquez Reference Christensen and Fernandez-Vazquez2022). As hypothesized, respondents in Flanders perceive policy change to be a negatively valenced phenomenon. To be sure, since the candidate’s party affiliation nor the policy direction of the policy change was cued, respondents were arguably particularly likely to cast a valence-based judgment on repositioning. This finding suggests that also in multiparty democracies, which are characterized by consensus-building and compromise (Lijphart Reference Lijphart1999), politicians changing their positions are perceived less positively. This implies that voters are not necessarily more forgiving for candidates who operate in political contexts in which parties frequently bargain and compromise in parliament and in governing coalitions. This bolsters recent findings that voters in multiparty democracies tend to punish parties that compromised on their electoral pledges (Fortunato Reference Fortunato2019; Klüver and Spoon Reference Klüver and Spoon2020).

That said, the Belgian political system is strongly party-centered, being marked by flexible-list proportional representation and strong party discipline. It is possible that the party-centered nature of Flemish politics means that real-world Flemish voters would be less aware of the repositioning of individual candidates, making valence-based evaluations less likely. In contrast, it is plausible that the repositioning penalty found is even stronger on more candidate-centered political systems.

The hypothesized negative effect of repositioning is found to be not more pronounced for female candidates than male candidates. Overall, this is good news for representative democracy as it suggests that female politicians’ policy track records are evaluated along the same yardstick as those of male politicians. Voters respond to the substantive informational cues about the candidate (i.e., their tendency to change positions) rather than to candidates’ gender. Since feminine stereotyping can affect citizens’ voting decisions (Bauer Reference Bauer2015b), this is an important finding. It echoes previous findings that gender stereotypes are not always decisive for candidate evaluations or voting decisions (Dolan Reference Dolan2014; Devroe Reference Devroe2021).

Crucially, these findings do not mean that gender stereotypes are not at all relevant (anymore) in a context like Flanders. As Bauer (Reference Bauer2015a) argued, voters’ reliance on gender stereotypes depends on whether they are activated or not (Kunda and Thagard Reference Kunda and Thagard1996; Kunda and Spencer Reference Kunda and Spencer2003, see also). It is plausible that gender stereotypes continue to play a role when they have been explicitly activated during political campaigns. The experimental stimulus cued respondents with information on whether the candidate changed its positions frequently or not: a characteristic that is associated with personality traits such as a lack of honesty and reliability. These traits are in turn often associated with gendered personality expectations. While the research on stereotype activation notes that such behavioral cues could be sufficient to trigger stereotypical thinking (Kunda and Thagard Reference Kunda and Thagard1996), the results suggest that these cues were not sufficient to activate gender stereotypes. Future studies should examine whether evaluations of repositioning candidates are gendered when gender stereotypes related to “honesty”, “reliability”, but also “decisiveness” are explicitly prompted.

Flanders was chosen as a plausible “least likely” case, i.e., a context in which the political context made the plausibility of gender stereotypes in evaluations of repositioning unlikely. In part due to the presence of gender quota, Flanders has particularly low levels of female under-representation (Vandeleene Reference Vandeleene2014). In line with the findings of this study, research by Devroe has previously documented that gender stereotypes in politics are less pronounced in Flanders than elsewhere (Devroe and Wauters Reference Devroe and Wauters2018; Devroe Reference Devroe2021). The aim of choosing a “least likely” case was that if I were to find an effect of gender stereotypes on reactions to repositioning in a context that is unfavorable to finding such an effect, this effect likely held across contexts marked by higher degrees of gender stereotypes. Hence, it is possible that gender stereotypes do affect responses to candidate repositioning in context in which such stereotypes are more pronounced, such as in the US (Dolan Reference Dolan2010). Future research should therefore address whether gender stereotypes affect appraisals of repositioning in contexts with more pronounced gender gaps in politics. On the flip side, it is likely that these findings do hold in contexts with similar levels of gender stereotyping as Flanders. As far as I am aware, comparative studies on the prevalence of gender stereotypes across countries and political contexts are scarce, which makes it hard to gauge in which countries citizens are prone to resort to gender stereotyping in their candidate evaluations. We therefore need more research into the prevalence of gender stereotypes in politics across countries and how they affect political beliefs and behavior.

This study examined frequent vs. infrequent repositioning across a bundle of three issues. Yet, previous research has found that citizens ascribe different issue competencies to male and female politicians as issues themselves can be perceived as “feminine” and “masculine” domains (Dolan Reference Dolan2014; Huddy and Terkildsen Reference Huddy and Terkildsen1993). It is worth examining therefore whether evaluations of repositioning differ for more “feminine” and “masculine” policy areas, and whether female politicians are punished more harshly for changing positions on stereotypically “feminine” issues.

All in all, this study finds that, in the case of Flanders, political candidates who reposition frequently face significant reputational penalties, and that this effect is not gendered. This suggests that citizens perceive repositioning – at face value – as a negative phenomenon, allegations of which politicians are best advised to avoid.

Supplementary material

To view supplementary material for this article, please visit https://doi.org/10.1017/XPS.2024.4

Data availability statement

The data, code, and any additional materials required to replicate all analyses in this article are available at the Journal of Experimental Political Science Dataverse within the Harvard Dataverse Network, at: https://doi.org/10.7910/DVN/HUWDWO.

Competing interests

No potential conflict of interest was reported by the author(s).

Funding

Maurits Meijers gratefully acknowledges financial support from the Dutch Organisation for Sciences (NWO Veni Grant VI. Veni.191R.018, “The Reputational Cost of Party Policy Change”).

Ethics statement

Ethical approval was obtained from the Ethics Assessment Committee Faculty of Law and Nijmegen School of Management at Radboud University (Reference No: 2022.14). A pre-analysis plan (PAP) for this research was registered on Evidence in Governance and Politics (EGAP) (now migrated to Open Science Framework, OSF) prior to implementation. Find the PAP at https://osf.io/9avwp.

Footnotes

This article has earned badges for transparent research practices: Open data and Open materials. For details see the Data Availability Statement.

1 An anonymized version of the preregistration is included after the appendix in this document. Registration link is known with the editorial board.

2 The study has been approved by the ethics assessment committee of the author’s home institution. The data and replication files are available on Harvard Dataverse (Meijers Reference Meijers2023).

3 This study was approved by the Ethics Assessment Committee of the author’s home institution.

4 See https://www.nieuwsblad.be/verkiezingen-2019/verkiezingsrapport/vlaams-parlement for similar “report cards” of politicians in parliament.

5 A pre-test among Political Science and Public Administration students at the author’s home institution has borne out that the selected photos were perceived to be most similar to one another compared to two other AI generated man/woman pairs by a majority of the respondents (ca. 60 percent found the selected pair most similar). Moreover, a comparison of perceived sympathy of the male and the female photo is very similar, 3.8 and 3.4 for the female and male photo on a 1–5 scale, with the difference being significant at an α < 0.001.

6 Table A.1 in Supplementary Material shows the descriptive statistics per treatment condition for all three dependent variables.

7 The effect of decisiveness does not meet conventional significance thresholds, as it is significant at $\alpha \lt 0.1$ . The effect is not statistically significant when post-stratification weights are applied (see Table A.4 in Supplementary Material).

8 Unbalanced covariates between the treatment groups were found for respondents’ age, certain educational groups, perceived issue importance, certain employment groups, certain income categories, and vote recall for certain parties.

9 To examine the effect of perceived issue importance of the three issues (childcare policy, climate policy, and immigration policy), I took the lowest tertile (low issue importance) and the highest tertile (high issue importance) of an additive scale of perceived importance of the three issues.

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Figure 0

Figure 1. Stimulus text translated to English.Note: Treatment conditions shown in brackets with the different conditions separated with a forward slash.

Figure 1

Figure 2. Example of a treatment (translated).

Figure 2

Table 1. The effect of candidate gender and repositioning on candidate reputation

Figure 3

Figure 3. Coefficient plot for all six dependent variables.

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