The idea of satisficing as a decision rule began with Herbert Simon. Simon was dissatisfied with the increasingly dominant notion of individuals as rational decision makers who choose alternatives that maximize expected utility on two grounds. First, he viewed the maximizing account of decision making as unrealistic given that individuals have cognitive limitations and varying motivations that limit cognitive ability and effort. Second, he argued that individuals do not even choose alternatives as if they are maximizing (i.e., that the maximizing account has predictive validity). Instead, he offered a theory of individuals as satisficers: decision makers who consider a limited number of alternatives, expending limited cognitive effort, until they find one that is “good enough.” At this point, he argued, the consideration of alternatives stops.
The satisficing decision rule has influenced several subfields of political science. They include elite decision making on military conflicts, the economy, and public policy; ideas of what the mass public needs to know about politics and the extent to which deficits in political knowledge are consequential; and understanding of survey responses and survey design. Political and social psychologists have also taken Simon’s idea and argued that satisficing rather than maximizing is a personality trait—stable characteristics of individuals that make them predisposed toward one or other type of alternative search when making decisions. Research in these subfields additionally raises normative questions about the extent to which satisficing is not only a common way of making decisions but a desirable one. Satisficing seems superior to maximizing in several respects. For example, it has positive effects on aspects of decision makers’ well-being and is more likely to result in individuals voting their interests in elections.
There are, however, a number of directions in which future research on satisficing could be taken forward. These include a fuller incorporation of the interaction of affect and cognition, clearer tests of alternative explanations to satisficing, and more focus and understanding on the effects of the Internet and the “information age.”
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Article
Satisficing in Political Decision Making
Daniel Stevens
Article
Social Network Influence on Political Behavior in Religious Contexts
Christina Ladam, Ian Shapiro, and Anand Sokhey
As the most common form of voluntary association in America, houses of worship remain an unquestionably critical component of American civil society. Major approaches to studying religion and politics in the United States are described, and the authors present an argument for focusing more attention on the organizational experience provided by religious contexts: studying how individuals’ social networks intersect with their associational involvements (i.e., studying religion from a “interpersonal” perspective) may actually shed new light on intrapersonal, psychological constructs like identity and religiosity.
Evidence is presented from two nationally representative data sets that suggests considerable variance in the degree to which individuals’ core social networks overlap with their houses of worship. This variance exists within and between individuals identifying with major religious traditions, and such networks are not characterized solely by agreement (as theories of self-selection might suggest).
Article
Studying Political Decision Making With Automatic Text Analysis
Wouter van Atteveldt, Kasper Welbers, and Mariken van der Velden
Analyzing political text can answer many pressing questions in political science, from understanding political ideology to mapping the effects of censorship in authoritarian states. This makes the study of political text and speech an important part of the political science methodological toolbox. The confluence of increasing availability of large digital text collections, plentiful computational power, and methodological innovations has led to many researchers adopting techniques of automatic text analysis for coding and analyzing textual data. In what is sometimes termed the “text as data” approach, texts are converted to a numerical representation, and various techniques such as dictionary analysis, automatic scaling, topic modeling, and machine learning are used to find patterns in and test hypotheses on these data.
These methods all make certain assumptions and need to be validated to assess their fitness for any particular task and domain.
Article
Threat Framing
Johan Eriksson
What is “threat framing”? It concerns how something or someone is perceived, labeled, and communicated as a threat to something or someone. The designation “threat,” notably, belongs to the wider family of negative concerns such as danger, risk, or hazard. Research on threat framing is not anchored in a single or specific field but rather is scattered across three separate and largely disconnected bodies of literature: framing theory, security studies, and crisis studies. It is noteworthy that whereas these literatures have contributed observations on how and under what consequences something is framed as a threat, none of them have sufficiently problematized the concept of threat. Crisis analysis considers the existence or perception of threat essential for a crisis to emerge, along with a perception of urgency and uncertainty, yet crisis studies focus on the meaning of “crisis” without problematizing the concept of threat. Likewise, security studies have spent a lot of ink defining “security,” typically understood as the “absence of threat,” but leave the notion of “threat” undefined. Further, framing theory is concerned with “problem definition” as a main or first function of framing but generally pays little or no attention to the meaning of “threat.” Moreover, cutting across these bodies of literature is the distinction between constructivist and rationalist approaches, both of which have contributed to the understanding of threat framing. Constructivist analyses have emphasized how threat framing can be embedded in a process of socialization and acculturation, making some frames appear normal and others highly contested. Rationalist approaches, on the other hand, have shown how threat framing can be a conscious strategic choice, intended to accomplish certain political effects such as the legitimization of extraordinary means, allocation of resources, or putting issues high on the political agenda. Although there are only a handful of studies explicitly combining insights across these fields, they have made some noteworthy observations. These studies have shown for example how different types of framing may fuel amity or enmity, cooperation, or conflict. These studies have also found that antagonistic threat frames are more likely to result in a securitizing or militarizing logic than do structural threat frames. Institutionalized threat frames are more likely to gain and maintain saliency, particularly if they are associated with policy monopolies. In the post-truth era, however, the link between evidence and saliency of frames is weakened, leaving room for a much more unpredictable politics of framing.
Article
Using Online Experiments to Study Political Decision Making
Yotam Shmargad and Samara Klar
The field of political science is experiencing a new proliferation of experimental work, thanks to a growth in online experiments. Administering traditional experimental methods over the Internet allows for larger and more accessible samples, quick response times, and new methods for treating subjects and measuring outcomes. As we show in this chapter, a rapidly growing proportion of published experiments in political science take advantage of an array of sophisticated online tools. Indeed, during a relatively short period of time, political scientists have already made huge gains in the sophistication of what can be done with just a simple online survey experiment, particularly in realms of inquiry that have traditionally been logistically difficult to study. One such area is the important topic of social interaction. Whereas experimentalists once relied on resource- and labor-intensive face-to-face designs for manipulating social settings, creative online efforts and accessible platforms are making it increasingly easy for political scientists to study the influence of social settings and social interactions on political decision-making. In this chapter, we review the onset of online tools for carrying out experiments and we turn our focus toward cost-effective and user-friendly strategies that online experiments offer to scholars who wish to not only understand political decision-making in isolated settings but also in the company of others. We review existing work and provide guidance on how scholars with even limited resources and technical skills can exploit online settings to better understand how social factors change the way individuals think about politicians, politics, and policies.
Article
Voter Information Processing and Political Decision Making
Alessandro Nai
Contemporary political information processing and the subsequent decision making mechanisms are suboptimal. Average voters usually have but vague notions of politics and cannot be said to be motivated to invest considerable amount of times to make up their minds about political affairs; furthermore, political information is not only complex and virtually infinite but also often explicitly designed to deceive and persuade by triggering unconscious mechanisms in those exposed to it. In this context, how can voters sample, process, and transform the political information they receive into reliable political choices? Two broad set of dynamics are at play. On the one hand, individual differences determine how information is accessed and processed: different personality traits set incentives (and hurdles) for information processing, the availability of information heuristics and the motivation to treat complex information determine the preference between easy and good decisions, and partisan preferences establish boundaries for information processing and selective exposure. On the other hand, and beyond these individual differences, the content of political information available to citizens drives decision making: the alleged “declining quality” of news information poses threats for comprehensive and systematic reasoning; excessive negativity in electoral campaigns drives cynicism (but also attention); and the use of emotional appeals increases information processing (anxiety), decreases interest and attention (rage), and strengthens the reliance on individual predispositions (enthusiasm).
At the other end of the decisional process, the quality of the choices made (Was the decision supported by “ambivalent” opinions? And to what extent was the decision “correct”?) is equally hard to assess, and fundamental normative questions come into play.
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