There is a great deal of research, spanning social psychology, sociology, and political science, on politically relevant attitudes toward women and the influence of gender on individual’s political decision making. First, there are several measures of attitudes toward women, including measures of sexism and gender role attitudes, such as the Attitudes Toward Women Scale, the Old-Fashioned Sexism Scale, the Modern Sexism Scale, and the Ambivalent Sexism Inventory. There are advantages and disadvantages of these existing measures. Moreover, there are important correlates and consequences of these attitudes. Correlates include education level and the labor force participation of one’s mother or spouse. The consequences of sexist and non-egalitarian gender role attitudes include negative evaluations of female candidates for political office and lower levels of gender equality at the state level. Understanding the sources and effects of attitudes toward women is relevant to public policy and electoral scholars.
Second, gender appears to have a strong effect on shaping men’s and women’s attitudes and political decisions. Gender differences in public opinion consistently arise across several issue areas, and there are consistent gender differences in vote choice and party identification. Various issues produce gender gaps, including the domestic and international use of force, compassion issues such as social welfare spending, equal rights, and government spending more broadly. Women are consistently more liberal on all of these policies. On average, women are more likely than men to vote for a Democratic Party candidate and identify as a Democrat. There is also a great deal of research investigating various origins of these gender differences. Comprehending when and why gender differences in political decision making emerge is important to policymakers, politicians, the political parties, and scholars.
Richard Ned Lebow
Counterfactuals seek to alter some feature or event of the pass and by means of a chain of causal logic show how the present might, or would, be different. Counterfactual inquiry—or control of counterfactual situations—is essential to any causal claim. More importantly, counterfactual thought experiments are essential, to the construction of analytical frameworks. Policymakers routinely use then by to identify problems, work their way through problems, and select responses. Good foreign-policy analysis must accordingly engage and employ counterfactuals.
There are two generic types of counterfactuals: minimal-rewrite counterfactuals and miracle counterfactuals. They have relevance when formulating propositions and probing contingency and causation. There is also a set of protocols for using both kinds of counterfactuals toward these ends, and it illustrates the uses and protocols with historical examples. Policymakers invoke counterfactuals frequently, especially with regard to foreign policy, to both choose policies and defend them to key constituencies. They use counterfactuals in a haphazard and unscientific manner, and it is important to learn more about how they think about and employ counterfactuals to understand foreign policy.
Doh Chull Shin
How well do people around the world understand democracy? Do they support democracy with an informed understanding of what it is? To address these questions, which have largely been overlooked in the literature on democratization, the World Values Survey and three regional barometer surveys are analyzed according to a two-dimensional notion of democratic knowledge. Their analyses reveal that a vast majority of global citizenries especially in post-authoritarian and authoritarian countries are either uninformed or misinformed about the fundamental characteristics of democracy and its alternatives. These findings contradict the popular theses that democracy is emerging as a universal value and it is also becoming the universally preferred system of government. For much of the world today, democracy represents little more than an appealing political symbol that still retains authoritarian practices.
Role theory first emerged as an approach to the study of foreign policy with the seminal work of Holsti, who argued that decision makers’ conceptions of their state’s role on the world stage influenced that state’s foreign policy behavior. Holsti’s approach was ahead of its time. The potential of role theory to contribute to the agent-structure debate has not always been appreciated. In fact, early research employing role theory often maintained a close connection to structural theories of international relations, especially among U.S.-based scholars.
In the last decade or so, there has been a renewed interest in role theory that differs from earlier work in that it more clearly connects with psychological approaches to foreign policy analysis. It also takes more seriously the domestic sources of role theory through inquiry into horizontal and vertical role contestation. Much of this new work intersects with constructivism, although it remains grounded in empiricism.
As foreign policy analysis increasingly seeks to understand the foreign policies of a broader array of states—including smaller states that face significant constraints on their ability to act in the international arena—role theory provides an attractive framework. Its focus on decision makers’ conceptions of their state’s role in international politics enhances the ability to make sense of the foreign policies of a wider array of states in the global arena. In essence, role theory allows foreign policy analysis to move beyond a U.S.-centric or global-north-centric field to become more broadly comparative.
Angela L. Bos, Heather Madonia, and Monica C. Schneider
Stereotypes are a set of beliefs a person holds about the personal attributes of a group of people. The beliefs are commonly held and understood, which allows people to use them as automatic shortcuts when making evaluations and decisions. Because the beliefs are so broadly understood and easily accessible, they can subconsciously influence opinion formation. In the realm of politics, citizens may use stereotypes to guide evaluations of candidates from stereotyped groups (such as African Americans or women) or as they formulate opinions about a policy that may have a particular group as its perceived beneficiary.
Because many commonly held stereotypes—such as that African Americans are lazy or violent—are not socially desirable, they pose a challenge to researchers attempting to measure them effectively. Thus, as social scientists examine the effects of stereotypes on citizen decision-making, it is important that they carefully consider how to best measure stereotypes. The goal should be to create reliable (consistent) and valid (accurate) measures that minimize social desirability in responses. Measures should reflect clear understanding of the content of the stereotype under examination and incorporate a full range of content to reflect it. One part of understanding the content of a stereotype is considering whether the group under examination is a subtype or subgroup of a larger stereotype category. For example, female politicians as a group constitute a subtype of the larger stereotyped group, women, where female politicians share little overlap in terms of stereotype content with women. Similarly, Black politicians are a subtype of Blacks, sharing little stereotype content. Male politicians, in contrast, form a subgroup of men, where they share many characteristics with the larger group, men. Stereotype content has implications for the link between stereotypes and evaluations of political actors or public policies. The ability to accurately measure stereotypes is a necessary step in understanding when and how people use stereotypes to navigate the political arena.
The intersection of two stereotypes is another important consideration, particularly since the combination of two stereotypes may be more than the sum of its parts. When researchers consider the content of stereotypes, the relationship between one stereotype to others (e.g., subtypes or subgroups), and the intersection of stereotypes, they can create improved measures of stereotypes that optimize reliability and validity.
A variety of explicit and implicit measures exist for researchers to consider, including explicit measures, such as semantic differential scales and open- and closed-ended identification of stereotype content, and implicit measures, such as the Implicit Association Test (IAT) and affective attitude measures. Two-step measures can be used to examine stereotype activation and application. While each of these measures has strengths and weaknesses, all are designed to help researchers better measure stereotypes en route to understanding how stereotypes influence peoples’ attitudes and behaviors. Reliable and valid measures of stereotypes—both implicit and explicit—can help us create more accurate understandings of the political world.