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Authentic leadership studies are often criticised for the limited use of causally defined research designs. To advance scholarship is this area, this article presents a scoping review on the use of experimental designs to examine causality in authentic leadership. Eleven publications were identified, which presented 16 experiments that met the inclusion criteria. Generally, these experiments tested authentic leadership as an antecedent; were conducted online; used a one-factor design; involved large samples, typically of working adults or residents; involved a manipulation check; involved the use of written vignettes to manipulate levels of authentic leadership; included counterfactual conditions; culminated with outcomes pertaining to followers; and established the causal effects of authentic leadership on the outcome(s) of interest. These findings suggest the value of: written vignettes; multi-method approaches; and online experiments. They also highlight opportunities to advance authentic leadership research through the use of sequential experiments and immersive technologies.
As survey experiments have become increasingly common in political science, some scholars have questioned whether inferences about the real world can be drawn from experiments involving hypothetical, text-based scenarios. In response to this criticism, some researchers recommended using realistic, context-heavy vignettes while others argue that abstract vignettes do not generate substantially different results. We contribute to this debate by evaluating whether incorporating contextually realistic graphics into survey experiment vignettes affects experimental outcomes. We field three original experiments that vary whether respondents are shown a realistic graphic or a plain text description during an international crisis. In our experiments, varying whether respondents are shown realistic graphics or plain text descriptions generally yields little difference in outcomes. Our findings have implications for survey methodology and experiments in political science – researchers may not need to invest the time to develop contextually realistic graphics when designing experiments.
Why does vote buying persist under the secret ballot? We argue initiating vote-buying transactions allows politicians to undermine voter confidence in the secret ballot, and thus to induce voter compliance. Our analysis consists of three parts. First, we present evidence from a survey experiment in Mexico that shows receiving material goods from a candidate diminishes voter confidence in ballot integrity. Next, we introduce an informational theory of vote buying that explains this phenomenon. Specifically, we develop a model of vote buying as a signaling game, in which a voter who is ex ante uncertain about a politician's capacity to monitor voter behavior learns new information from the politician's actions. Finally, we test the key insights from the model in a lab experiment. Our results suggest that, under certain conditions, offering material goods to voters is sufficient to erode their confidence in ballot secrecy, making vote buying effective.
In multiethnic societies, domestic minority groups are frequently associated with external adversaries. In such situations, external confrontations may potentially exacerbate internal ethnic conflict by increasing intolerance toward the domestic minority. Alternatively, they may result in rallying the public around a common superordinate national identity. We examine the case of India, which has a long-running rivalry with Muslim-majority Pakistan. Through a large (n = 7052) survey experiment, we find little evidence that a hypothetical crisis with Pakistan worsens attitudes toward India's large Muslim minority. Instead, we find that such a crisis may improve intergroup cohesion within India, improving tolerance towards Muslim minorities.
Although influential models of public opinion hold that group sentiments play an important role in shaping political beliefs, they often assume that group attitudes stem from socialization and are thus exogenous to politics. We challenge this assumption, arguing that group attitudes may themselves be the consequence of political views. Across three survey experiments that each uses a unique social group–issue pair, we consistently demonstrate that attitudes toward groups are influenced by information about the groups' policy views. These findings persist even when accounting for potential partisan signaling. Altogether, these results show that group sentiments should not be regarded as wholly exogenous to policy concerns and suggest that the use of group-based heuristics can be consistent with instrumental models of public opinion.
We study how an intervention combining youth intergroup contact and sports affects intergroup relations in the context of an active conflict. We first conduct a randomized controlled trial (RCT) of one-year program exposure in Israel. To track effects of a multiyear exposure, we then use machine-learning techniques to fuse the RCT with the observational data gathered on multiyear participants. This analytical approach can help overcome frequent limitations of RCTs, such as modest sample sizes and short observation periods. Our evidence cannot affirm a one-year effect on outgroup regard and ingroup regulation, although we estimate benefits of multiyear exposure among Jewish-Israeli youth, particularly boys. We discuss implications for interventions in contexts of active conflict and group status asymmetry.
We study the effect of compulsory civic duty on turnout. We take advantage of a natural experiment in Spain, where electoral officers are selected through a lottery and being an electoral officer is compulsory for those drafted. We analyze whether acting as an officer changes turnout and attitudes in subsequent elections. Our findings show that compulsory civic duty has a strong short-term and positive effect on electoral participation, but has no impact on political attitudes. The positive effect of the civic duty treatment, however, fades after a few months. Our results have implications for theories about civic duty and the formation of political habits.
Citizens often support politicians who vote against their parties in parliament. They view rebels as offering better representation, appreciate expressive acts, take rebellion as a signal of standing up for constituents, or see rebels as defending their moral convictions. Each explanation has different implications for representation, but they have not yet been tested systematically against one another. We implement survey experiments on nationally representative samples in the UK, Germany, France, and Italy to assess whether voters treat rebellion as a cue for better representation or infer positive character traits implying a valence advantage. Policy congruence does not drive voters’ preference for rebels. However, voters do associate positive traits with rebel MPs, even if they do not feel better represented by them.
Across a series of experiments, I show that racial threat from a stereotypically nonthreatening racial minority group, Asian Americans, has a direct impact on white Americans' views of discrimination toward the group. When white Americans learn the group is growing, they feel a distinct racial threat which decreases support for the idea that Asian Americans experience discrimination while simultaneously increasing support for policy which actively discriminates against Asian Americans. I show this concept to be portable over context, examining support for discriminatory policy toward Asians in education policy and COVID-19 policy. I conclude by discussing the implications for how racial threat can drive more racial conflict while simultaneously decreasing the perception that this discrimination is occurring.
Willis J. Edmondson,Juliane House, Universität Hamburg and the Hungarian Research Centre for Linguistics,Daniel Z. Kadar, Dalian University of Foreign Languages, China and Hungarian Research Centre for Linguistics
Chapter 8 presents a case study of an important Type of Talk, namely Opening Talk. The chapter illustrates why the acquisition of speech acts and related Types of Talk is often challenging for learners of English. We report on experiments conducted with Chinese learners of English.
Time preferences may explain public opinion about a wide range of long-term policy problems with costs and benefits realized in the distant future. However, mass publics may discount these costs and benefits because they are later or because they are more uncertain. Standard methods to elicit individual-level time preferences tend to conflate risk and time attitudes and are susceptible to social desirability bias. A potential solution relies on a costly lab-experimental method, convex time budgets (CTB). We present and experimentally validate an affordable version of this approach for implementation in mass surveys. We find that the theoretically preferred CTB patience measure predicts attitudes toward a local, delayed investment problem but fails to predict support for more complex, future-oriented policies.
While a number of high-level figures around the world have been prosecuted and even jailed for corruption in recent years, we know little about how such anticorruption efforts shape public opinion and patterns of political engagement. To address this question, we examine evidence from Argentina and Costa Rica involving the unprecedented sentencing of two former Presidents on corruption charges. Exploiting the coincidence in timing between these cases and fieldwork on nationally representative surveys, we find that citizens interviewed in the aftermath of these events expressed lower trust in institutions and were less willing to vote or join in collective demonstrations. Overall, these findings suggest that high-profile efforts to punish corrupt actors may have similar effects as political scandals in shaping citizens’ relationship to the political system.
How does public diplomacy shape global public opinion? In this note, we theorize that positive public diplomacy that emphasizes aid and friendship works, while negative messages that criticize international rivals are ineffective. We conduct an experiment, to our knowledge the first of its kind, that randomly exposes Indian citizens to real Twitter messages from Chinese diplomats. We find that positive messages emphasizing aid and friendship improve perceptions of China, even in times of escalating violent conflict. However, messages from so-called “Wolf Warrior” diplomats that harshly criticize the United States are ineffective and can backfire in times of crisis. We argue public diplomacy can be a useful tool for global powers, but that domestic political pressures have pushed some diplomats, like China's Wolf Warriors, toward nationalist messages that do not appeal to foreign audiences.
Economic and health crises have profound political consequences for public support for social policy, historically setting in motion a massive expansion of governmental programs. Is demand for social protection likely to increase among citizens exposed to risk in an era in which populist messages are prominent? We show that this depends critically on the precise targets that populists evoke as enemies of the people. We distinguish between two types of political rhetoric deployed by populist politicians in their claims to represent the authentic people—one opposing the authority of domestic elites, including technocrats, and one attacking foreigners. We examine the extent to which each rhetorical strategy reduces or enhances popular demand for social policies by randomly exposing Americans to these frames as part of a public opinion survey conducted during the Covid-19 pandemic. Our results show that the two messages have different consequences for support for redistribution among respondents exposed to risk: populist anti-foreign rhetoric that blames foreign countries for the onset of the pandemic increases demand for expansion of social protection compared to populist anti-elite rhetoric.
Why do high-income earners support higher levels of income redistribution in some countries than in others? I argue that differences in the social insurance design have consequences for fairness considerations and that this matters for preference formation. Flat-rate systems provide social benefits in equal amounts to everyone in need, while earnings-related systems provide benefits in relation to previous earnings. In the case of income loss, earnings-related systems maintain unfair income differences, while flat-rate systems equalize unfair income differences between the rich and the poor. Cross-national patterns reveal that support for redistribution among the rich is higher in income-maintaining welfare states. For a strict test of my fairness argument, I conduct a laboratory experiment and show that participants reduce inequality more if given endowment differences are maintained in the case of loss.
Many democracies with high levels of corruption are also characterized by low levels of women's political representation. Do women candidates in democracies with high levels of corruption face overt voter discrimination? Do gender dynamics that are unique to highly corrupt, democratic contexts influence citizens’ willingness to vote for women? We answer these questions using two separate sets of experiments conducted in Ukraine: two vignette experiments and a conjoint analysis. In line with existing cross-sectional research on Ukraine, our experiments reveal little evidence of direct voter bias against women candidates. Our conjoint analysis also offers novel insights into the preferences of Ukrainian voters, showing that both men and women voters place a great deal of value in anti-corruption platforms, but voters are just as likely to support women and men candidates who say they will fight corruption. Our analysis suggests that women's political underrepresentation in highly corrupt contexts is driven more by barriers that prevent women from winning party nominations and running for office in the first place, rather than overt discrimination at the polls.
This chapter presents the case for employing Bayesianism as a universal, unified framework for inference that narrows the divide between qualitative versus quantitative data, within-case versus cross-case analysis, and observational versus experimental research. It offers a Bayesian critique of various other approaches to qualitative methods and multi-method research.
Recent scholarship on affective polarization documents partisan animosity in people's everyday lives. But does partisan dislike go so far as to deny fundamental rights? We study this question through a moral dilemma that gained notoriety during the COVID-19 pandemic: triage decisions on the allocation of intensive medical care. Using a conjoint experiment in five countries we analyze the influence of patients’ partisanship next to commonly discussed factors determining access to intensive medical care. We find that while participants’ choices are consistent with a utilitarian heuristic, revealed partisanship influences decisions across most countries. Supporters of left or right political camps are more likely to withhold support from partisan opponents. Our findings offer comparative evidence on affective polarization in non-political contexts.