Published online by Cambridge University Press: 01 August 2005
The question “What is political science?” is nearly as old as thediscipline itself. Political science continually self-examines thediscipline to evaluate who we are and how we have changed. Inaddition, there are numerous studies of groups within politicalscience, including political science in the U.S. South and women inpolitical science. There are also reviews of the development andstate of subfields, e.g., urban politics , international relations,comparative politics, and political theory. Each of these historiesprovides an image of what political science is or what it should be.These self-reviews provide images of the discipline that shape ouridentities as political scientists and advance the progress ofpolitical science. Even if the images do not affect futuredirections in political science, they are “an important dimension ofidentity and critical reflection on the theory and practice ofpolitical science”. Developing and critiquing these images areimportant academic exercises.J. TobinGrant is assistant professor, department of political science,Southern Illinois University, Carbondale. He is coauthor (withThomas Rudolph) of Expression vs. Equality: The Politicsof Campaign Finance Reform (Ohio State UniversityPress, 2004).I thankBadredine Arfi, Gregory Kasza, Scott McClurg, Thomas Rudolph,Edward Schatz, and Herbert Weisberg for their comments andsuggestions on this article.
The question “What is political science?” is nearly as old as the discipline itself. Political science continually self-examines the discipline to evaluate who we are and how we have changed (Baer et al. 1991; Crick 1959; Dryzek and Leonard 1988; Easton, Gunnell, and Stein 1995; Easton, Gunnell, and Graziano 1991; Farr and Seidelman 1993; Finifter 1983; 1993; Haddow 1939; Katznelson and Milner 2002; Lepawsky 1964; Merriam 1926; Ricci 1984; Somit and Tanenhaus 1982; Storing 1962; and Weisberg 1986).1
Gunnell (2004) provides a well-written comprehensive historiography in his appendix, “Telling the Story of Political Science.”
I examine the dominant image of political science in this literature. This model presents the major classification of political science falling along a methodological dimension. According to this model political scientists vary primarily in their use of “hard” scientific methods and approaches to politics and “soft” or traditional means of understanding politics found in the humanities. At issue is whether this image of political science is accurate. This image is often not the result of systematic analysis—quantitative or qualitative—but of self-reflection, personal experience, and unsystematic observation. What is needed is a model of the discipline grounded in systematically gathered empirical observations. Establishing such a model is the goal of this article.
Discussion of a division between “hard” and “soft” approaches to politics is pervasive within the discipline. It is also the primary focus of the literature on the discipline. Almond (1988) explicitly presents a discipline which can be mapped along two dimensions: a methodological dimension, a hard-soft dimension, and an ideological dimension, a right-left dimension. At the extremes exist four “tables” that are “brightly lit and visible”: the soft left (e.g., critical theorists), hard left (e.g., socialist and dependency theorists), soft right (e.g., Straussian theorists), and hard right (e.g., rational choice theorists and/or quantitative researchers). Most political scientists are not part of these four tables, but they remain the main means of dividing the discipline. Of these two dimensions, the methodological dimension is the one on which much of our divisions emerge:
There is a long-standing polemic in political science between those who view the discipline as a hard science—formal, mathematical, statistical, experimental—dedicated to accumulation of tested “covering laws,” and those who are less sanguine and more eclectic, who view all scholarly methods, the scientific ones as well as the softer historical, philosophical, and legal ones, as appropriate and useful. (Almond 1990, 7)
The image of political science that emerges from Almond's work is one with those using hard science on one end and those that prefer (or at least appreciate) softer approaches to politics at the other.
Almond's (1988) thesis was a catalyst for a renewed discussion on the state of political science. Part of this discussion included a panel at the APSA Annual Meeting and subsequent series of essays in PS (Monroe et al. 1990). The general response was to accept with some caveats Almond's diagnosis and move on to his prescription for a cure—to identify, if possible, a core that will reunite the disparate sects within political science. Almond, as part of the roundtable discussion of his original work, states that this core should be political theory, which “ought to codify the history of the discipline, the development of central ideas, concepts, and theories” (1988, 35). Theory does not function in this way because it “has, with few exceptions, been traumatized by the diffusion of scientific aspirations and methods into political science, and seduced by simplistic temptations of 1960s and 1970s thinking” (1988, 35). Overall, the members of this roundtable found Almond's diagnosis of the discipline accurate but disagreed over whether what, if anything, should be done to (re)unite the discipline.
The hard-soft model is also implicit in earlier histories of the field. Lepawsky (1964) examined the pre-professional era of political science (prior to the creation of APSA) and presents a distinction between scientific and traditional, context-specific approaches to the study of politics. Somit and Tanenhaus ([1967] 1982) recount the move from a pre-scientific study of politics toward a new, more scientific paradigm. Ricci (1984) likewise focuses on the rise of a science of politics that pulled political science from its philosophical roots. These and other histories present an image of the discipline that is divided between the hard, scientific and the softer, more ecumenical approaches.
More recent work continues to present the discipline as divided along a hard-soft dimension. Pye finds that “neither content nor method provides an ‘essential core’ for the discipline as a whole” (1990, 4). The reason for this is the division between what he labels “scientific” and “humanistic” approaches to the study of politics:
Some of the subfields—some of us—are convinced that true knowledge can be found only in the rigorous search for invariances, for the regularities we expect to find in nature. In this spirit we like to think of man and society as having lawlike qualities we associate with the physical universe. For other subfields—others of us—knowledge is the search for meaning, for understanding and interpretation, that is, for what is human in the blending of mind and spirit.
Lowi (1992) similarly describes the discipline as including, if not defined by, “the three hegemonic subdisciplines of our time—public opinion, public policy, and public choice” (1). Together, these subdisciplines are very similar to the groups Almond identifies as the hard right. Each of these political scientists locates the hard-soft dimension as the primary division within political science.
Empirical verification of this image of the discipline is rare, but in an innovative study of political scientists' views of the discipline's academic journals, Garand and Giles (2003) find two divisions within political science. One is the hard-soft division. Analyzing the mean evaluations of 16 well-recognized journals, Garand and Giles find statistically significant differences between qualitative, quantitative, and mixed-approach scholars for 11 of these journals. They also find, however, differences between scholars in different subfields. There are significant differences between scholars of American politics, comparative politics, international relations, and political theory for seven of the journals. These findings support the claim that there is a hard-soft division in political science, but they also suggest that a subfield division may also exist.
Overall, the hard-soft image is widely accepted but rarely empirically verified in the literature on political science. Such verification is critical. As the dominant image presented in the literature, the hard-soft model categorizes political science by method rather than by subject. If this is an adequate description of the discipline, then political scientists who make choices about how to organize editorial boards, departments, and curriculum need to be sensitive to the representation of both hard and soft approaches to political science if they are to represent the discipline well. But what if this hard-soft model does not reflect the actual organization of the discipline?2
That is, is it more incorrect than an alternative model as all models are by definition incorrect to some degree?
Before modeling political science, one should define what political science is. The hard-soft model has defined political science ontologically and historically. Both have an appropriate place in the literature, but we must differentiate between an ontology of political science and a sociology of political science, what Holden (2000) refers to as the “intellectual realm” and the “organizational realm.” The former is what sociologists of science might refer to as a system of ideas: our theories, models, concepts, and scholarship. The latter is our social system; it is how we organize our departments, associations, curriculum, and publications (King 1980).3
It may be incorrect to make such a clear distinction between the two. As Kuhn (1970) shows, the sociology of science has an important impact on the creation and progress of its theories (King 1980). Or, as Holden (2000) states: “the intellectual realm is largely the expression of what people in the organizational realm do” (1).
This sociological view of political science provides the starting place for an empirical model of the discipline. Such a model should 1) include within the discipline anyone who identifies as a political scientist, and 2) count political science research as anything that these people do as scholarly activities.
Modeling political science should include, first, a description of how political scientists organize their scholarly activities. The dominant way that this is done is by forming associations that are open to anyone who wishes to identify themselves as a political scientist. The largest and most inclusive of these associations is the APSA, which currently has over 15,000 members drawn from over 80 countries. Within APSA, organized sections bring together scholars who have similar professional goals (c.f. Losco 1998). These organized sections may be formed around any topic or grouping so long as they meet a threshold number of members. Members are not required to join organized sections, but a majority joins at least one. One way, then, of modeling political science is to examine the pattern of membership in these organized sections.
A second approach is to model political science scholarly activity. This could be done by examining published work by political scientists, but this proves very difficult to do because it requires that the researcher choose a priori what political science should be. Questions of which books and journals to include within political science are impossible to answer unless the researcher imposes his or her definition of the discipline on the literature. For example, the Library of Congress lists 483 political science periodicals. To evaluate which of these journals is political science would require a paring down of this list, as was done by Baum et al. (1976) and Young (1995). Such a list could be reduced to only those that political scientists are familiar with, use, or admire. Yet, such a list would include publications that are in a distinct discipline such as the American Sociological Review and publications that are not peer-reviewed such as Foreign Affairs (Garand 1990). Moreover, it would exclude those scholars who choose books as the primary means of publishing their scholarly work, which would bias the selection against theory and qualitative research.
An alternative approach is to move away from publications and examine current scholarly activity as presented and discussed at the APSA Annual Meeting. This has three advantages over other approaches. First, it would include all material selected by the membership of APSA (through its division chairs). As already discussed, APSA is the best representation of what political scientists are; thus, the scholarly work presented at the APSA Annual Meeting is by political scientists for the benefit of other political scientists. Second, it allows minority approaches to political science to be represented even if they are excluded from mainstream (and possibly hegemonic) publications. Finally, the allocation of panels is distributed among divisions that, like organized sections, represent groups created by political scientists themselves, not groups classified by a researcher. By examining the pattern of research presented at APSA Annual Meetings, one can provide an empirical description of what political scientists do that is difficult, if not impossible, to provide using other methods.
The hard-soft model of political science implies a geographic representation of the discipline. It uses terms like dimensions, continuums, and location to describe political science. Keeping with this tradition, I estimate a statistical model of political science that allows us to see the differences between political scientists and their scholarly work. This is done using multidimensional scaling (MDS), which provides a graphical representation of the dissimilarities between objects (Rabinowitz 1975). That is, it maps objects onto a two-dimensional space so that objects that have a great deal in common are positioned close to one another and those that have little in common are located at a greater distance from each other. MDS graphs provides a very useful way of understanding otherwise complex relationships.
This method provides a means of empirically testing the hard-soft model. If political science is separated along methodological lines, then we should see (literally) groups with similar approaches to politics located close together; groups that have different approaches to political science should be farther apart. MDS is also useful because it is a barefoot empirical approach to modeling political science. The only data used are those on the membership in APSA's organized sections (as of February 2004) and the number of joint panels at the 2003 Annual Meeting in Philadelphia. Any patterns that are created are based on the similarity of membership between sections or the similarity in subjects discussed at the Annual Meeting. No other data or measures are used.4
I use an alternating least squares scaling (ALSCAL) to estimate the MDS (Takane, Young, and De Leeuw 1977). The organized section membership is listed in a k × k symmetric matrix. Both the rows and columns represent each organized section. The cells then represent the joint membership of any two organized sections. Thus, the diagonal would be the total number of members in each section. The divisions' matrix is a similar k × k symmetric matrix but the rows and columns represent the number of panels sponsored or cosponsored by each division at the 2003 Annual Meeting. Because the number of members varies greatly by section, as does the number of panels per division, it is appropriate to calculate the phi coefficient instead of the chi-square. Otherwise, MDS would likely use the number of members (or panels) as the primary difference between the sections (or divisions). The phi coefficient eliminates this problem. I adjust the model to decipher between ties.
MDS provides a graphic representation of the differences and similarities between groups of political science and their scholarship. The mapping appears to be a reasonable image of political science organization.5
Diagnostics indicate that they are best represented by two or less dimensions. For the organized section model, the estimation of a second dimension adds substantial increase in variance explained, but a third dimension adds little. For the divisions model, one dimension is possibly sufficient since it explains nearly 90% of the variance of the differences and the additional dimensions do not improve this much. This is likely due to the lower variation in the divisions' panel compared to the organized section data. The decision for how many dimensions to include in a model is not based solely on this statistical analysis; it also depends heavily on whether the dimensions are consistent with the reasonableness of the mapping.
What is this first dimension? An ocular examination of the pattern on the first dimension rejects the hard-soft model that dominates the literature. As shown in Table 1, political scientists and their research are primarily organized around common subjects of inquiry, not approach to politics or methodology. At one end of the organized section mapping are local American politics: state politics and policy, urban politics, legislative studies, public administration, and presidency research. At the other end are international security and arms control, international history and politics, conflict processes, and human rights. The same pattern is seen for the divisions mapping, where panels on constitutional law and on elections and voting behavior are at one end of the first dimension and panels on international security and arms control and on conflict processes are on the other. In the middle are subjects such as comparative politics and interdisciplinary studies that bridge local domestic politics and international state-level politics.
Two-Dimensional Mapping of APSA Organized Sections and APSA Divisions (Rank from Lowest to Highest in Parentheses)
Further evidence of this interpretation is presented in Table 2, which presents the correlation between the location of each organized section and some of its characteristics that were not used in estimating these locations. I include two sets of characteristics. The first measures some of the organizational features of the sections: the number of members and the cost of joining each section. Neither is related to location of the organized section on this first dimension. The second set of characteristics is based on the self-identified subdiscipline of the membership. This information is gathered from members when they join APSA (members can choose two subdisciplines and can change their selection at any time). The location of an organized section has the highest correlation with the proportion of the section's membership that studies American politics and the proportion that studies international relations. The more Americanists that a section includes, the more to the left/lower the section is located. The more that a section is made up of IR scholars, the more to the right/higher the section is located. Also related is the percentage that study comparative politics (more toward IR end of dimension) and those that study either public administration or public policy (more toward American end of dimension). Unrelated to this first dimension are the proportions that study political philosophy or the proportion that study methodology. These correlations support the interpretation that this dimension is not hard-soft, but based on the subject of inquiry.
Correlates of Dimensions on APSA Sections Mapping

These results raise doubts about the validity of the hard-soft model. Political science is a diverse discipline that covers topics ranging from the rise of empires to the timing of answers in public opinion surveys. Political scientists may study several subjects, but the link between them is not a common methodology but a connection between the political phenomena studied. Methodology is important, but it is a secondary dimension. This second dimension improves our understanding of the relationship between organized sections and research panels. Unlike the first dimension on which groups had common subjects, the second dimension separates hard, scientific approaches to politics from soft, interpretative approaches. Organized sections that are “soft” include foundations of political thought, politics and literature, ecological and transformational politics, and law and courts. At the hard end of the dimension are political methodology, political communication, political psychology, conflict processes, and elections, public opinion, and voting behavior. This hard-soft dimension is not simply a qualitative-quantitative dimension, as the qualitative methods organized section is in the middle of the dimension. Moreover, there are other groups such as comparative politics and presidency research that often use qualitative (but still empirical and scientific) methods.
This interpretation is also supported by the correlations between the location on this second dimension and the membership characteristics of the organized section. The highest correlation with this second dimension is between the proportion that identify themselves as methodologists and the proportion that identify themselves as political philosophers. The more methodologists in an organized section, the more “hard” their location; the more philosophers in a section, the more “soft” their location. There is a division between hard science and soft studies of politics, but it is a secondary division in political science.
The model presented in this article offers a new image of political science. Political science is diverse and the first dimension represents the differences in the type of political phenomena studied. Political scientists and their research are connected by a common subject of inquiry, not approach to understanding or discussing politics. The hard-soft dimension is less important but does constitute the second dimension, with humanistic approaches to politics at one end and scientific approaches at the other.
The coordinates listed in Table 1 provide the location of each organized section and division, but since these groups are not of equal size a simple mapping of their location is insufficient if one wants to model political science. One needs a way of viewing the concentration of political scientists and their scholarship. Fabrikant and Buttenfield (2001) show that this can be done by using cartography to show the density of objects mapped onto a space similarly mapped using MDS. I follow a similar technique by using the location of the sections and divisions and their size to show the concentration of political scientists and their scholarship. The result is a topographic mapping of these concentrations, where darker shading indicates a greater concentration and lighter shading indicates less concentration. Figure 1 is the topographic map of the concentration of political scientists using the organized section data. Figure 2 is the map of the concentration of political science scholarship using data on the APSA Annual Meeting division panels. Together these panels provide a view of the concentration of political science.

Concentration of Political Scientists (MDS of APSA Organized Sections)

Concentration of Political Science Research (MDS of APSA Division Panels)
Both figures provide similar maps of the concentration of political scientists and their scholarship, respectively. In the organized section map the horizon is dominated by three areas of concentration. The first and largest is the concentration of comparative politics scholars. The second is a collection of interdisciplinary scholars, what some might call the “… and Politics” groups: religion and politics, women and politics, history and politics, and others. Finally, there is a third peak in the area covered by American politics scholars. This peak is in the largest region in terms of area. Unlike comparative politics scholars who are organized together, there is not an “American politics” organized section that concentrates American politics scholars. Instead, the American politics area covers a wider area that is linked to public policy and public administration at one end and wraps “up” and “around” to political methodology. On the other side of comparative politics is international relations, which is more disconnected from the other subfields. Finally, political theorists inhabit an island separated from the larger continent of political science. It is closer to the interdisciplinary subfields but remains distinct and disconnected.
The map of the scholarship of political scientists is very similar, though there are some interesting differences because there are more divisions representing more subfields, particularly other studies connected to traditional theory such as normative theory and constitutional law. In this map there is a greater concentration of political philosophy connected to the rest of scholarship, though still far from being the core that some advocate. If there is a core, it is the combination of comparative and interdisciplinary subjects that make up the center of the map. This map also differs because there is a small but united concentration of political economy research that lies between comparative politics and international relations. Interestingly, the international studies subfield is separated from the rest of political science scholarship.
In both maps, the concentration of political science is in the scientific or hard section. The sections and divisions that are dominated by humanistic or soft scholarship are distant and less concentrated than the mass of political science. Such a distinction has been noted by many, including Monroe et al. (1990) who discusses this using the metaphor of geography and topography:
With the emigration of political theory to its own intellectual and professional archipelago, from which it makes only occasional visits to its now alien homeland, and largely only as a location for discussing its own internal affairs, political science lost a large measure of its critical self-awareness. And political theory lost its connection to the principal piece of institutional reality that tied it, however indirectly, to politics. (37)
Theory may be an island, but political science is a discipline whose major division appears to be organized around common questions, not common methods or approaches to the study of politics.
How is political science organized? The model of political science estimated in this analysis and mapped in Figures 1 and 2 provide two possible answers. First, there is a hard-soft dimension to political science, but it is secondary to the primary dimension—the type of politics that is studied. Political scientists have organized themselves so that they are more related to other political scientists who study similar events and concepts, not to those who study politics in similar ways. Second, most political scientists and political science scholarship approach politics as scientists, not humanities scholars. Scholars who study traditional theory represent a smaller and largely disconnected area of political science.
Political science has a long history of self-reflection. This article is a continuation of that tradition. But it differs from much of what has been written in that it offers an empirical model of how political science is organized. This analysis depends on only two assumptions: APSA represents political scientists (or at least better than any other group) and the APSA Annual Meeting represents political science scholarship (or at least better than any other source). The results of this analysis indicate that while the hard-soft division in political science is real and important, it is not dominant.
Given the wide-spread acceptance of the hard-soft model in the literature, it is prudent to question whether the new model in this article is accurate: How could so many highly respected and successful political scientists be wrong about the nature of the discipline? There are likely many reasons. First, other than rigorous historical accounts, the presentation of the discipline has not been based on systematic and empirical research. They are personal accounts based on experience, often by scholars in our elite institutions that may not represent the divisions within the discipline as a whole.
Second, the hard-soft model has been presented primarily from those on the softer side of the discipline. To use the island metaphor, those on the island of political philosophy will view the discipline as made up of two masses—the island and the continent. The analysis presented in this article, to stretch the metaphor, is a satellite image. I find that hard and soft approaches are different and important, but there is greater diversity on the larger continent than previously recognized.
Third, it is likely that the fight between the hard and soft approaches within each subfield appears to be more important only because we rarely take a larger view of the discipline. International relations scholars modeling dyadic conflict are likely to interact with scholars discussing the right interpretation of Thucydides. Legislative scholars reflecting on the meaning of representation interact with scholars who prefer formal models of the legislator-constituent relationship. The student of W. E. B. Dubois' writings is likely to communicate with a researcher on African-American attitudes toward affirmative action. A student of Central Asian politics will exchange research findings with other Central Asian scholars regardless of their approach to politics. Our parochialism may blind us to our larger differences. As political scientists, we have more in common with scholars interested in the same type of politics (that is the same type of political phenomena) than we have in common with those that share our epistemology. This is the major conclusion of this article.
Finally, the conclusions presented in this article are based on the organization of the discipline. This ignores other types of cleavages that are cultural or psychological. In other words, the organizational structure may lag behind changes in the way that political scientists view themselves. Younger scholars may find the existing organized sections wanting, but creating a new section takes significant time and organizational skills. Also, political scientists may find ways to work within the existing organization of the discipline while holding to an image of the discipline of “hard” vs. “soft.” There are, of course, other ways to examine the discipline. Future work must examine other ways that the discipline is put together in order to provide a comprehensive view of political science.
This conclusion is neither rhetoric nor a policy proposal. Readers are welcome to interpret the conclusion optimistically as an indication that we are more unified than previously thought, pessimistically as evidence that we lack a theoretical core, or somewhere in-between. The only charge that I make is that the image presented in the discipline appears to overemphasize the hard-soft distinction and that as a result we should reconsider our identity and history through further research on the discipline of political science.
It is certainly possible that this new image of political science is not accurate and that other empirical models are more appropriate. Indeed, we need models of other facets of political science. We need more research on what we are as a discipline. What we do not need are commentaries based on personal experience alone. We deserve models that are empirical, though not necessarily quantitative. Indeed, we need new histories of the discipline that can refocus on events other than the hard-soft divide. This article provides a new image of political science based on systematically gathered empirical data. Future work should do the same if we are to increase our understanding of who we are and what we do.
Two-Dimensional Mapping of APSA Organized Sections and APSA Divisions (Rank from Lowest to Highest in Parentheses)

Correlates of Dimensions on APSA Sections Mapping

Concentration of Political Scientists (MDS of APSA Organized Sections)

Concentration of Political Science Research (MDS of APSA Division Panels)