Originally published in 1983, this book locates the behavioural approach to the study of politics in its social science and historical context. The text reviews the findings in a number of fields - public opinion, electoral behaviour, political participation, policy outputs, political recruitment, political welfare and socialisation.
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The dominant belief among both teachers and graduate students of political science seems to be that political theory constitutes the heart of their subject; yet political theory is not, in practice, the core of political science teaching. Such is the schizoid condition of political science and political scientists that is revealed by the investigations of the Committee for the Advancement of Teaching of the American Political Science Association. The hypothesis advanced in this note presents a dual reason for the unfortunate situation: it is partly that political theorists have failed to keep up with the times and have not engaged in sufficient value-free theoretical study of the raw data of politics, and partly that vast numbers of political scientists have falsely concluded that one of the most important parts of the traditional study of political theory—political ethics—is not susceptible of scientific treatment and should rigorously be eschewed.
In: Policy sciences: integrating knowledge and practice to advance human dignity ; the journal of the Society of Policy Scientists, Band 3, Heft 4, S. 385-403
Graphical representation of the dynamic interactions among the elements of a system has found wide application in business, government, & the "system sciences." Although system representation is now ad hoc, it may be possible to develop a standard theoretical presentation in terms of the interaction & feedback of biological, biosocial, cultural, & situational determinants of behavior. The resulting framework must, of course, be modified for each problem addressed, yet the framework forces the analysis to be dynamic as well as static, to avoid overemphasis on factors of interest to a particular investigator, & to show more precisely the effect of adopting alternative social theories. Examining the applicability of this proposed framework to a variety of problems suggests that this approach will assist in the transfer of information between applied & theoretical studies & in the cumulation of social science knowledge. 1 Table, 8 Figures. AA.
Despite increasing interest in recent years, disability remains a neglected area of study within mainstream political science. Beginning with a brief overview of the ways that disability studies scholars have defined disability, I address the issues that have arisen in trying to measure disability as well as the limits and possibilities that follow from thinking of people with disabilities as a minority group with defined political beliefs and interests. To the extent that much of the work on disability in political science looks to the research on gender, race, ethnicity, and class as a touchstone, I consider the lessons that might be drawn from this work both as it relates to disability as a social category and regarding efforts to conceive of disability and ability in more structural and ideological terms. Turning to the literature on disability in political theory, I examine the ways that disability has been deployed to reveal the ableist assumptions that pervade canonical and more contemporary texts. I conclude by highlighting avenues for future research, including whether it is possible—or, indeed, desirable—to move beyond the civil rights and identity-based frameworks that have so defined disability politics and organizing. Expected final online publication date for the Annual Review of Political Science, Volume 27 is June 2024. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.
We are now entering a new era of computing in political science. The first era was marked by punched-card technology. Initially, the most sophisticated analyses possible were frequency counts and tables produced on a counter-sorter, a machine that specialized in chewing up data cards. By the early 1960s, batch processing on large mainframe computers became the predominant mode of data analysis, with turnaround time of up to a week. By the late 1960s, turnaround time was cut down to a matter of a few minutes and OSIRIS and then SPSS (and more recently SAS) were developed as general-purpose data analysis packages for the social sciences. Even today, use of these packages in batch mode remains one of the most efficient means of processing large-scale data analysis.
We are now entering a new era of computing in political science. The first era was marked by punched-card technology. Initially, the most sophisticated analyses possible were frequency counts and tables produced on a counter-sorter, a machine that specialized in chewing up data cards. By the early 1960s, batch processing on large mainframe computers became the predominant mode of data analysis, with turnaround time of up to a week. By the late 1960s, turnaround time was cut down to a matter of a few minutes and OSIRIS and then SPSS (and more recently SAS) were developed as general-purpose data analysis packages for the social sciences. Even today, use of these packages in batch mode remains one of the most efficient means of processing large-scale data analysis.
If at one time we thought that the movement to science would yield unification of the discipline, it is now apparent that there are many roads to science. Still it is important for us to consider yet again what the appropriate goals are for our scientific enterprise. What works in theory building; induction and deduction; prediction and control; the search for useful principles to guide us - examining these questions, we can build a better science. Political science has come so far as a discipline that different schools and scholars have different interpretations of science in the study of pol
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Criticism of trends in political science centers on specific methodologies—quantitative methods or rational choice. However, the more worrisome development is scholasticism—a tendency for research to become overspecialized and ingrown. I define that trend more closely and document its growth through increases in numbers of journals, organized sections in the American Political Science Association, and divisions within the APSA conference. I also code articles published in the American Political Science Review to show a growth in scholastic features in recent decades. The changes affect all fields in political science. Scholasticism serves values of rigor. To restrain it will require reemphasizing relevance to real-world issues and audiences. To do this should also help restore morale among political scientists.
In: PS: political science & politics, Band 34, Heft 4, S. 859-865
ActivitiesChun-tu Hsueh, Huang Hsing Foundation, was elected a foreign member of the National Academy of Sciences of Ukraine and honorary fellow of the Institute of East European, Russian and Central Asian Studies, Chinese Academy of Social Sciences.
The current debate in political science over methods and fundamental theoretical stances recalls similar debates in other fields. Part of the debate focuses on the merits of the use of statistical methods or the use of mathematics and quasi-mathematical reasoning, as in game theory and much of rational choice. Among the critics of those who use these approaches are many who focus more on interpretive approaches to understanding social institutions and behavior. In some ways, the debate seems dated in that the largest and most compelling body of quasi-economic work is broad studies of the relationships between political and economic development. Such work, often with relatively sharply defined statistical models, spans more than two generations of scholars in political science. Such work has given compelling answers to many questions about the workings and workability of democracy. It typically abstracts from culture and it fits congenially with rational choice theory in its focus on microfoundations for various claims.
C. P. Snow, in his Rede Lecture on the scientific and literary worlds as separate cultures, lists four groups needed by a country if it is to "come out top" in the scientific revolution. First, as many top scientists as it can produce; second, a larger group trained for supporting research and high class design; third, educated supporting technicians; and "fourthly and last, politicians, administrators, an entire community, who know enough science to have a sense of what the scientists are talking about."It seems increasingly clear that the growing army of "political" scientists—meaning natural scientists in politics—is more likely to be aided by students of politics prepared to understand the effects of science in political terms than by most of the recent efforts to understand politics in scientific terms. When one looks over the journals in political science, and in related areas of public opinion and social psychology, searching for significant conclusions in articles where much time has been spent on the elaboration of method, it is difficult to avoid V. O. Key's conclusion "that a considerable proportion of the literature commonly classified under the heading of 'political behavior' has no real bearing on politics, or at least that its relevance has not been made clear."