During the past two decades, mounting evidence suggests that much of human social cognition occurs without deliberate effort and largely outside conscious awareness. Dual-process models, which distinguish explicit (conscious, slow, effortful) cognitive processes from implicit (often unconscious, fast, effortless) cognitive processes, “form the dominant paradigm [of social cognition research] for the past 20 years or more” (Evans Reference Evans2008). Although these advances in social cognition research have begun to be integrated into models of political cognition over the past decade (e.g., Kim, Taber, and Lodge Reference Kim, Taber and Lodge2010; Lodge and Taber Reference Lodge and Taber2013; see Nosek, Graham, and Hawkins Reference Nosek, Graham, Hawkins, Gawronski and Payne2010 for a review), and are beginning to influence other disciplines like communication (see Hefner et al. Reference Hefner, Rothmund, Klimmt and Gollwitzer2011), the role of implicit processes in outcomes commonly studied by political scientists deserves more attention. This symposium aims to showcase the diverse set of subject areas within political science to which dual-process models have been and can be applied. We hope that this symposium is a springboard for those who are considering bringing a dual-process approach into their own research by providing an overview of relevant literatures and methods.
In this introduction, we define the construct of implicit associations and lay out the methods used to measure different types of implicit associations. We conclude by highlighting the contributions to the symposium, which cover a wide range of topics relevant to political scientists that could benefit from the further integration of dual-processing theories, including the study of voting, party identification, religion and politics, public opinion, political knowledge, and public policy.
WHAT IS AN IMPLICIT ASSOCIATION?
Many theorists have developed dual-process accounts of social cognition. A review of dual-process models by Evans (Reference Evans2008) lists more than a dozen different taxonomies of the implicit/explicit distinction. In light of this theoretical diversity, we focus on the core propositions that are shared among many dual-process theories of social cognition. Specifically, we focus on how implicit and explicit attitudes differ in introspective access, in the processes that affect their formation and change, and in their effects on behavior.Footnote 1
Dual-process models propose that alongside explicit attitudes, individuals also have implicit attitudes. One of the key dimensions in which implicit attitudes and the implicit processes underlying them differ from their explicit counterparts is their automaticity, which is characterized by differences in their degree of awareness, efficiency, intentionality, and controllability (Bargh Reference Bargh, Wyer and Srull1994; see also Moors and De Houwer Reference Moors and De Houwer2006). From this perspective, implicit processes operate (relative to explicit processes) with less conscious accessibility, faster, with less or no volition or effort, and largely outside conscious control.
To elucidate the implicit/explicit distinction, consider explicit attitudes, or what political scientists most often refer to simply as attitudes. A defining, if often unstated, characteristic of explicit attitudes is that they are introspectively accessible. Individuals are capable of self-reporting their explicit attitudes, even if they may sometimes be motivated to conceal them and even though the reported attitudes may be subject to variation as a result of framing and priming effects. Although numerous debates about the nature of explicit attitudes appear in the political science literature (e.g., whether they are stable, see Ansolabehere, Rodden, and Snyder Reference Ansolabehere, Rodden and Snyder2008; whether they are formed spontaneously from top-of-the-head considerations, see Zaller Reference Zaller1992; the role of ambivalence, see Lavine, Johnston, and Steenbergen Reference Lavine, Johnston and Steenbergen2012) and in psychology (see Bohner and Dickel Reference Bohner and Dickel2011 for a review covering similar issues), introspective access is often taken for granted in theories of explicit attitudes.
Unlike explicit attitudes, implicit attitudes are either thought of as being entirely outside conscious awareness (e.g., Banaji, Lemm, and Carpenter Reference Banaji, Lemm, Carpenter, Tesser and Schwartz2001; Wilson, Lindsey, and Schooler Reference Wilson, Lindsey and Schooler2000) or, if they are accessible to some degree, as affecting behavior by pathways which lack introspective access (e.g., Gawronski, Hofmann, and Wilbur Reference Gawronski, Hofmann and Wilbur2006).Footnote 2 In either view, implicit attitudes are not simply explicit attitudes that one cannot recall in a given moment, or the considerations that are currently inaccessible during attitude construction in a memory-based model (e.g., Zaller Reference Zaller1992), or the forgotten events that feed into a consciously accessible running tally in an online model (e.g., Lodge, Steenbergen, and Brau Reference Lodge, Steenbergen and Brau1995). Instead, implicit attitudes rely on automatic, associative systems in memory that differ from the deliberative, propositional systems that underlie explicit attitudes (Gawronski and Bodenhausen Reference Gawronski and Bodenhausen2006a, see the text that follows). Perhaps in support of this point, some researchers suggest that implicit and explicit processes rely on fundamentally different neural pathways (Stanley, Phelps, and Banaji Reference Stanley, Phelps and Banaji2008).
Besides being at least partly outside conscious awareness, implicit processes are also faster than explicit processes, they operate with little or no volition or effort, and they are largely outside conscious control (Bargh Reference Bargh, Wyer and Srull1994). In the political science literature, these implicit attitudes have sometimes been explored under the moniker of “hot cognition” with a number of studies suggesting that individuals have evaluative responses which are activated effortlessly within hundreds of milliseconds of exposure to a political target (e.g., Burdein, Lodge, and Taber Reference Burdein, Lodge and Taber2006; Lodge and Taber Reference Lodge and Taber2005; Morris, Squires, Taber, and Lodge Reference Morris, Squires, Taber and Lodge2003).
The difference in the automaticity of implicit and explicit attitudes also plays out in the processes that lead to their formation and change. One prominent dual-process theory of attitudes, the associative-propositional evaluation model (APE; Gawronski and Bodenhausen Reference Gawronski and Bodenhausen2006a), attributes implicit attitudes to an associative system of memory and explicit attitudes to a propositional one (but see Albarracín, Hart, and McCulloch Reference Albarracín, Hart and McCulloch2006; Kruglanski and Dechesne Reference Kruglanski and Dechesne2006; Petty and Briñol Reference Petty and Briñol2006 for comments and critiques of this model and the authors' responses in Gawronski and Bodenhausen, Reference Gawronski and Bodenhausen2006b and elaboration in Gawronski and Bodenhausen Reference Gawronski and Bodenhausen2011). In their view, implicit associations between objects (including attitudes) are formed automatically through the mere co-occurrence of the objects, and these implicit associations are strengthened through repeated exposure. Note that this process occurs regardless of whether the individual considers the information he or she is exposed to be true or false. The implicit system is called “associative” because the individual is learning, largely outside of conscious awareness or control, to associate in memory the attitude object and the evaluation. By contrast, in this model, explicit attitudes are formed through a deliberative process that takes into account the perceived truth or falsity of statements and uses those to adjust prior beliefs. For explicit attitude change to occur, whether in a memory-based or online model, information must be processed consciously, even if it is later discarded.
These differing processes of formation and change, among other factors, result in considerable variability in the degree to which implicit attitudes correlate with explicit attitudes. In situations where the implicit-explicit correlation is low, some individuals may have discordant implicit and explicit attitudes toward the same object. A divergence between implicit and explicit attitudes can form, for example, through repeated exposure to evaluative statements that are deemed by the individual to be false. Aversive racism (Dovidio and Gaertner Reference Dovidio and Gaertner2004; Pearson, Dovidio, and Gaertner Reference Pearson, Dovidio and Gaertner2009), which is characterized by racially progressive explicit attitudes and negative implicit attitudes toward racial outgroups, is a prototypical case of implicit-explicit discordance that may form because of repeated exposure to consciously rejected outgroup stereotypes (but see Blanton and Jaccard Reference Blanton and Jaccard2008 for caution about over-interpreting findings of “unconscious racism”). Moreover, recent research suggests that these negative implicit racial attitudes form early in childhood and persist to adulthood (Dunham, Chen, and Banaji Reference Dunham, Chen and Banaji2013). Identifying areas where discordance exists and accounting for it is an important endeavor in understanding political behavior because implicit-explicit discordance has been found to be a predictor of behavior in other domains (e.g., narcissism is predicted by a combination of high explicit self-esteem and low implicit self-esteem, Zeigler-Hill Reference Zeigler-Hill2006).
It can be difficult to know how to interpret a low implicit-explicit correlation, because many factors can contribute to its occurrence (see meta-analysis by Hofmann et al. Reference Hofmann, Gawronski, Gschwendner, Le and Schmitt2005 for a review). Measurement error in both implicit and explicit attitudes can contribute to a lower correlation. The reliability of implicit attitude measures has been an often-discussed concern in the literature (Gawronski, Deutsch, and Banse Reference Gawronski, Deutsch, Banse, Klauer, Voss and Stahl2011). However, whereas the measurement error in implicit attitudes is largely random and therefore of little theoretical interest, some types of systematic measurement error in explicit attitudes are of theoretical interest. Because of social desirability bias on explicit attitudes in socially sensitive research areas, like racial attitudes, the correlations with implicit attitudes tends to be lower in these areas than in areas where there is no social pressure to conceal one's true attitudes, such as evaluations of political candidates (see meta-analysis by Greenwald et al. Reference Greenwald, Poehlman, Uhlmann and Banaji2009a for a review). The distortion of explicit attitudes in these cases is believed to lower the implicit-explicit correlation in these cases, because implicit attitude measurement is usually far less susceptible than explicit attitude measurement to social desirability bias and other self-presentational influences (but see Gawronski, LeBel, and Peters Reference Gawronski, LeBel and Peters2007). Other types of self-presentational concerns, like the desire to appear objective, can also lead to an implicit-explicit discordance, as among independents in the United States who nonetheless have an implicit preference between the major parties (Hawkins and Nosek Reference Hawkins and Nosek2012).
Implicit and explicit attitudes differ in the types of behaviors they most affect and in the circumstances under which they most affect behavior (for reviews of the effects of implicit attitudes, see Jost et al. Reference Jost, Rudman, Blair, Carney, Dasgupta, Glaser and Hardin2009 and Petty, Fazio, and Briñol Reference Petty, Fazio and Briñol2009). Partly due to social desirability bias in the measurement of explicit attitudes, implicit attitudes tend to predict behavior better than explicit attitudes in domains that are socially sensitive, whereas explicit attitudes tend to perform better in areas where self-presentation on surveys is less of a concern (Greenwald et al. Reference Greenwald, Poehlman, Uhlmann and Banaji2009a). Besides social sensitivity, behaviors that are largely automatic rather than consciously controlled (e.g., body language) tend to be better predicted by implicit attitudes (e.g., Dovidio and Gaertner Reference Dovidio and Gaertner2004). Even in deliberative behaviors, implicit attitudes can be important predictors, especially when cognitive resources are low and individuals fall back on automatic processes (Friese, Hofmann, and Schmitt Reference Friese, Hofmann and Schmitt2009).
Although implicit processes frequently play an important role in behavior, individuals can have some control over the effects elicited by their implicit cognitive processes. Individuals can notice the behavioral effects of implicit processes, even if the implicit processes themselves are not introspectively accessible, and individuals who are aware of these effects can attempt to temper their impact. To exert control on the effects of implicit attitudes, cognitive and time resources are important, as described earlier, but motivation is also a crucial factor in exerting control over the effects of implicit processes for an extended period of time (Blair, Reference Blair2002). Moreover, situational influences, like framing effects, can also increase or decrease the impact of implicit attitudes on behavior (e.g., Wittenbrink, Judd, and Park Reference Wittenbrink, Judd and Park2001b).
MEASURING IMPLICIT ASSOCIATIONS
Political scientists have long been familiar with the survey techniques used to measure explicit attitudes. These techniques can present challenging methodological problems, like self-presentational concerns (e.g., social desirability bias, experimenter demand) and question-order effects. However, because implicit attitudes exist at least partly outside conscious awareness, they cannot be measured with traditional survey methods. Even if respondents were motivated to answer a survey question about their implicit attitudes, they typically could not report them accurately because of their lack of introspective access. As a result, the measurement of implicit attitudes is accomplished through indirect methods (as opposed to the direct methods used in self-report, see De Houwer Reference De Houwer, Wiers and Stacy2006). Indirect methods rely on the recording of subtle but systematic differences in reaction times in response to stimuli, through priming, or through a combination of these techniques.
Perhaps the most commonly used measure of implicit associations is the aptly named implicit association test (IAT; Greenwald, McGhee, and Schwartz Reference Greenwald, McGhee and Schwartz1998).Footnote 3 The basic IAT procedureFootnote 4 measures implicit associations between bipolar attributes (e.g., good and bad) and bipolar target categories (e.g., Democrats and Republicans). In the case of implicit attitudes, the resulting statistic, the D-score (Greenwald, Nosek, and Banaji Reference Greenwald, Nosek and Banaji2003), is a measure of the relative preference between the target categories (e.g., a strong implicit preference for Republicans relative to Democrats, rather than a strong implicit preference in an absolute sense).Footnote 5 The magnitude of the D-score indicates the strength of the preference, and the sign indicates the direction. The IAT is analogous to an explicit measure that uses a Likert scale centered on indifference with the target categories at either end (e.g., “Which candidate do you like more, Barack Obama or Mitt Romney?”).
The implicit association test has been extremely useful for researchers of implicit attitudes, with the Greenwald, McGhee, and Schwartz (Reference Greenwald, McGhee and Schwartz1998) paper accruing more than 4,500 citations on Google Scholar to date. However, the IAT is only appropriate for cases in which researchers want to contrast two target categories using bipolar concepts, such as a relative preference between two targets. It cannot be used to measure implicit attitudes toward a single target (e.g., a single candidate) or more than two mutually exclusive targets (e.g., parties in a multiparty system). Other reaction-based procedures have been derived from the basic design of the IAT to supplement the researcher's toolkit and allow the measurement of implicit attitudes toward a range of targets.
Researchers who are interested in implicit attitudes toward a single target or in associations of a unipolar concept with two targets should consider the Go/No-Go Association Task (GNAT; Nosek and Banaji Reference Nosek and Banaji2001), the single-target IAT (ST-IAT; Bluemke and Friese Reference Bluemke and Friese2008), the single-attribute IAT (SA-IAT; Penke, Eichstaedt, and Asendorpf Reference Penke, Eichstaedt and Asendorpf2006), the single-category IAT (SC-IAT; Karpinski and Steinman Reference Karpinski and Steinman2006), or the extrinsic affective Simon task (EASTFootnote 6; De Houwer Reference De Houwer2003). If the IAT is an implicit analogue to an explicit Likert scale with each target at either end, these derivative tasks are more analogous to a feeling thermometer because they measure the relationship between a single target (e.g., a party) and a pair of concepts (e.g., positive and negative).
At other times researchers may want to measure implicit attitudes toward multipolar targets or multipolar attributes simultaneously. As researchers might string together a series of feeling thermometers at the explicit level to assess attitudes toward a group of target sequentially, several single-target IATs can be arranged serially (as Bluemke and Friese Reference Bluemke and Friese2008 did to measure implicit preferences among parties in Germany). More parsimoniously, one could use a single procedure, such as a multifactor IAT (Greenwald Reference Greenwald2005), which is analogous to ordering parties in terms of preference on a single continuum.Footnote 7
In addition to the IAT and its cousins, an alternative approach to the measurement of implicit attitudes relies on various forms of priming. These tasks vary in the length and complexity of the prime, from subliminal cues that are not consciously perceived to vignettes that the participant is asked to read before completing some other task. Researchers interested in implicit attitudes may want to consider an affective priming task (Fazio et al. Reference Fazio, Jackson, Dunton and Williams1995), a semantic sequential priming task (Wittenbrink, Judd, and Park Reference Wittenbrink, Judd and Park1997; for a comparison of affective and semantic priming, see Wittenbrink, Judd, and Park Reference Wittenbrink, Judd and Park2001a), Stroop task (Stroop Reference Stroop1935) with priming (see MacLeod Reference MacLeod1991 section on semantic variations of the Stroop task), an approach-avoidance task (e.g., Chen and Bargh Reference Chen and Bargh1999; Eder and Rothermund Reference Eder and Rothermund2008), or the affective misattribution procedureFootnote 8 (AMP; Payne et al. Reference Payne, Cheng, Govorun and Stewart2005). One advantage of the priming approach to measuring implicit attitudes is that some of these paradigms, like the word completion task (e.g., Spencer et al. Reference Spencer, Fein, Wolfe, Fong and Duinn1998), can be administered on pencil-and-paper surveys (see Vargas, Sekaquaptewa, and von Hippel Reference Vargas, Sekaquaptewa, von Hippel, Wittenbrink and Schwarz2007 for a review). Implicit measures can also be obtained using psychophysiology (see Ito and Cacioppo Reference Ito, Cacioppo, Wittenbrink and Schwartz2007 for a review). For further reviews of the methods used to measure implicit attitudes, see the edited volume by Wittenbrink and Schwarz (Reference Wittenbrink and Schwarz2007) and chapters by Gawronski, Deutsch, and Banse (Reference Gawronski, Deutsch, Banse, Klauer, Voss and Stahl2011) and De Houwer and Moors (Reference De Houwer, Moors, Gawronski and Payne2010).
IMPLICIT PROCESSES AND POLITICAL SCIENCE
Implicit processes have already begun to play a role in political science theorizing. Next, we highlight some areas that have begun to use dual-process approaches, those which could benefit from this development, and the particular symposium articles that address each substantive area more thoroughly.
The area of political science that has most thoroughly integrated implicit measures is the study of vote choice. Implicit partisan preferences are predictive of vote choice (Friese, Bluemke, and Wänke Reference Friese, Bluemke and Wänke2007; Roccato and Zogmaister Reference Roccato and Zogmaister2010), with some scholars arguing that implicit measures are particularly useful for predicting the votes of undecided voters (Arcuri et al. Reference Arcuri, Castelli, Galdi, Zogmaister and Amadori2008; Galdi, Arcuri, and Gawronski Reference Galdi, Arcuri and Gawronski2008; but see Friese et al. Reference Friese, Smith, Plischke, Bluemke and Nosek2012). In addition, implicit racial bias has been shown to have played a role in US presidential vote choice in 2008 (Greenwald et al. Reference Greenwald, Smith, Sriram, Bar-Anan and Nosek2009b; Pasek et al. Reference Pasek, Tahk, Lelkes, Krosnick, Payne, Akhtar and Tompson2009; Payne et al. Reference Payne, Krosnick, Pasek, Lelkes, Akhtar and Tompson2010). Glaser and Finn (Reference Glaser and Finn2013, this issue) expand on these topics in addressing how and when implicit attitudes play a role in vote choice.
The study of implicit self-concepts (i.e., associations between the self and traits or groups) has become an important field in psychology (see Devos, Huynh, and Banaji Reference Devos, Huynh, Banaji, Leary and Tangney2012 for a review). This approach has yet to be adopted among political scientists, despite long-standing interest in social identities like party identification (Campbell et al. Reference Campbell, Converse, Miller and Stokes1960; Green, Palmquist, and Schickler Reference Green, Palmquist and Schickler2002). Theodoridis (Reference Theodoridis2013, this issue) brings these two literatures together to show the strong link that exists between traditional measures of party identification and the implicit association of the self with a political party.
Of course, partisan social identities are not the only ones studied by political scientists. Racial identities, class identities, and religious identities, among others, have been extensively measured at the explicit level and shown to play a role in voter decision making. Albertson (Reference Albertson2011) considers how implicit religious identities play an independent role from explicit religious identities in the political process while Orey, Craemer, and Rice (Reference Orey, Craemer and Pricethis issue) discuss the differences in implicit racial attitudes among blacks and whites.
One of the key differences between implicit and explicit attitudes, as outlined earlier, is that they differ in their processes of formation and change. Attitude change has been an area of major study among dual-process theorists. The elaboration likelihood model (ELM; Petty and Cacioppo Reference Petty and Cacioppo1986) and heuristic-systematic model (HSM; Chaiken Reference Chaiken1980) have been among the most influential theoretical frameworks of attitude change in social psychology in the past two decades and both fall within the broad category of dual-process models. It is natural, then, to apply a dual-process approach to political attitude change.
Citizens hold not only attitudes about the parties, but they also have beliefs about their policy stances and other traits. These beliefs may be reflected in, or incongruent with, the implicit associations that individuals have with the parties. Ksiazkiewicz (Reference Ksiazkiewicz2013, this issue) examines how a dual-process approach can be applied to the study of political knowledge.
Finally, while the previous entries have focused primarily on mass attitudes and behaviors, a dual-process approach is also valuable to scholars with an interest in designing effective public policy (see Nosek and Riskind Reference Nosek and Riskind2012 for a general discussion). Borgida and Miller (Reference Borgida and Miller2013, this issue) discuss how dual-process models can shed new light on challenges in public policy implementation by using the issue of racial disparities in criminal justice as a running example.
As the above review demonstrates, many areas of relevance to political science have already benefited from integrating implicit processes into their theorizing, including some that fall beyond the scope of this symposium, such as immigration preferences (Pérez Reference Pérez2010), personality (see articles in the special issue including Banse and Greenwald Reference Banse and Greenwald2007), and nationalism (Ferguson, Carter, and Hassin Reference Ferguson, Carter, Hassin, Jost, Kay and Thórisdóttir2009). We encourage readers to consult contributions that touch on topic areas related to their own research and to consider how adopting a dual-process approach may enrich their own theorizing and predictive power.
ACKNOWLEDGMENTS
We would like to thank APSA for hosting the Working Group on Implicit Attitudes in Political Science Research at its 2011 Annual Meeting, an event that was crucial to the development of this project.
SYMPOSIUM AUTHORS
Eugene Borgida is professor of psychology and law at the University of Minnesota. He is a Morse-Alumni Distinguished Professor of Psychology and held the Fesler-Lampert Chair in Urban and Regional Affairs for 2002–2003. In addition, Borgida is an adjunct professor of political science, and has served as co-director of the Center for the Study of Political Psychology, which he co-founded, and co-editor of the journal, Political Psychology. Borgida's research interests include social cognition, attitudes and persuasion, psychology and law, and political psychology. He can be reached at borgi001@umn.edu.
Thomas Craemer is an assistant professor in the department of public policy at the University of Connecticut. His research interests are political psychology (specifically explicit and implicit racial attitudes), survey research, and public opinion. His dissertation at the State University of New York investigated psychological processes that can lead to interracial solidarity. His interest in this topic goes back to a series of experiments on political self-interest and altruism that formed the basis for his dissertation at the University of Tuebingen, Germany. He can be reached at tcraemer@uconn.edu.
Byron D'Andra Orey is associate professor in the department of political science at the Jackson State University. Orey is researching African American racial identity and is taking surveys of JSU students about their attitudes to resolve inequalities along race, gender, and age lines. He finds his work rewarding because there isn't a lot of data available specifically relating to African Americans. He can be reached at byron.d.orey@jsums.edu.
Jack Glaser is associate professor of public policy at the Goldman School of Public Policy at the University of California, Berkeley. Professor Glaser conducts research on a very extreme manifestation of intergroup bias—hate crime—and has carried out analyses of historical data as well as racist rhetoric on the Internet to challenge assumptions about economic predictors of intergroup violence. Another area of interest is in electoral politics and political ideology. He is specifically interested in the role of emotion (as experienced and expressed) in politics, and in the psychological underpinnings of liberalism and conservatism. He can be reached at jackglaser@berkeley.edu.
Christopher Finn is a doctoral candidate at the Goldman School of Public Policy, University of California, Berkeley. His research interests include political psychology, comparative economic and political instituions, political participation, and economic development. He can be reached at cfinn@cal.berkeley.edu.
James Hedrick is a doctoral candidate in the department of political science at Rice University. His research interests focus primarily on state and local public policy, urban politics, immigration, and political psychology. He is primarily interested in how and why different jurisdictions adopt particular policies and how those policies affect political behavior. His dissertation, “Welcoming the Huddled Masses—The Immigration Policies of Subnational Governments” examines why states adopt policies that provide policy benefits to immigrants, both legal and illegal. He is also interested in the application of psychological theories and methods, particularly implicit attitudes, to the study of political science. He can be reached at jjh4@rice.edu.
Aleksander Ksiazkiewicz is a doctoral candidate in the department of political science at Rice University. His research focuses on how processes outside conscious awareness affect mass political behavior. In particular, he studies the role of genetic predispositions in political attitude formation and change, as well as the role of implicit processes in political cognition. He can be reached at aleksks@rice.edu.
Andrea Miller is a PhD candidate in the department of psychology at the University of Minnesota and a JD candidate at the University of Minnesota Law School. Her research interests include various issues of inequality in the law. One area of research focuses on racial and class disparities in criminal justice. Another area of research focuses on gendered inequality in the workplace. She can be reached at mill3160@umn.edu.
Melanye Price is assistant professor of Africana studies at Rutgers, The State University of New Jersey. She has research and teaching interests in public opinion, black politics, social movements, and political psychology. She is the author of Dreaming Blackness: Black Nationalism and African American Public Opinion. She can be reached at mtprice@rci.edu.
Alexander George Theodoridis is a doctoral candidate in the department of political science, University of California, Berkeley, whose research interests are in American political behavior, and psychology, particularly related to campaigns, elections, voting behavior, and political participation. His doctoral research is designed to generate experimental data to examine the implications of partisanship and partisan identification with a particular focus on their roots in social identity and the ways in which they may shape political cognition. He can be reached at theodoridis@berkeley.edu.
