Clashing Paradigms and Mathematics in the Social Sciences

2008 ◽  
Vol 37 (6) ◽  
pp. 542-545
Author(s):  
Patrick Doreian
2015 ◽  
Vol 23 (2) ◽  
pp. 81-84 ◽  
Author(s):  
Roberto Poli

Purpose – The purpose of this paper is a presentation of the guiding ideas underlining the master degree course in social foresight recently launched by the University of Trento (Italy). Design/methodology/approach – This paper is a reconstruction of the guiding ideas that have been used for designing the social foresight master degree. Findings – Students are exposed to a mix of contributions from futures studies, the human and social sciences (including psychology of decisions, social change, values and secondary analysis techniques) and mathematics (not only statistics, but also system theory and simulation). Originality/value – A unique look at the ideas behind the master degree course in social foresight at the University of Trento (Italy).


1996 ◽  
Vol 89 (2) ◽  
pp. 105-107
Author(s):  
Kay Somers ◽  
John Dilendik ◽  
Bettie Smolansky

College-level instructors in mathematics, the sciences, and the social sciences—or in any discipline involving the analysis of quantitative information—are well aware of the devastating effects of “symbol shock” and “mathematics anxiety” on otherwise successful undergraduates. The simplest algorithms seem hopelessly baffling to some students, and the presentation of formulas is met with emotions that range from resistance to outright panic. One effective way of helping students overcome this anxiety is to involve them in concrete exercises in which they collect and organize data and draw inferences from the data. These exercises address the Curriculum and Evaluation Standards for School Mathematics of the National Council of Teachers of Mathematics (1989), which calls for students to be able to collect, organize, and describe data and to be able to draw inferences from real-world data. The exercises also involve an active learning approach as advocated in the Standards document.


1949 ◽  
Vol 43 (2) ◽  
pp. 229-249 ◽  
Author(s):  
G. Lowell Field

The Need for Factually Defined Concepts. Most political utterance is necessarily normative in import since it occurs in the process of motivating human behavior. Popularly employed political concepts, appropriately, are frequently of the ideal type in that they tend to denote an hypothetical situation toward conformance with which actual human institutions are being impelled. Ask any student to define a state or a government and he is almost certain to bring in some such notion as “operation in the public interest,” which might or might not be judged applicable to an actual situation. It is safe to say that ninety per cent of the time such concepts as state, government, court, law, administration, political party, and many others are used in this normative sense, not only popularly but in learned circles.Without desiring the exclusion of the normative from the social sciences, the writer believes that rigid conceptual clarity in distinguishing norm and fact is necessary for the progress of these disciplines. To attain this goal, the technical requisite is a system of concepts having an understood reference of a purely factual character. The absence of such factually defined concepts is noteworthy in political science, and largely unrecognized. Although most of our studies are factual in nature and the intended reference of concepts is usually factual, definition is largely subconscious and when brought to the surface is likely to have normative form, particularly a form borrowed from legal norms.True definition is appropriate in such disciplines as logic and mathematics and in physics, which has attained since the seventeenth century to the explanation of phenomena by hypothetical systems employing purely postulated entities like electrons and atoms. A set of pure definitions gives postulates from which theorems are derived by rigid deduction. What is put into the definitions comes out in the theorems.


Author(s):  
Warren Burggren ◽  
Kent Chapman ◽  
Bradley B. Keller ◽  
Michael Monticino ◽  
John S. Torday

The biological sciences have long benefited from the intellectual and pragmatic input of ideas and techniques from other disciplines, including medicine, chemistry, engineering, and mathematics. “Interdisciplinarity in the Biological Sciences” discusses the synergies that have emerged from the integration of these disciplines into the biological sciences, and uses examples to strongly advocate for such approaches. The reach of biology extends well beyond the sciences and technology into interdisciplinary interactions within the social sciences, arts, and humanities. Finally, interdisciplinary collaboration between various scientists, engineers, and mathematicians is not without its pitfalls and impediments, from both an individual and institutional perspective, so some potential hurdles to effective interdisciplinary research are outlined.


Author(s):  
Scott Edgar

Introduction to the Special Volume, “Method, Science and Mathematics: Neo-Kantianism and Analytic Philosophy,” edited by Scott Edgar and Lydia Patton.At its core, analytic philosophy concerns urgent questions about philosophy’s relation to the formal and empirical sciences, questions about philosophy’s relation to psychology and the social sciences, and ultimately questions about philosophy’s place in a broader cultural landscape. This picture of analytic philosophy shapes this collection’s focus on the history of the philosophy of mathematics, physics, and psychology. The following essays uncover, reflect on, and exemplify modes of philosophy that are engaged with these allied disciplines. They make the case that, to the extent that analytic philosophers are still concerned with philosophy’s ties to these disciplines, we would do well to pay attention to neo-Kantian views on those ties.


Methodology ◽  
2019 ◽  
Vol 15 (1) ◽  
pp. 19-30 ◽  
Author(s):  
Knut Petzold ◽  
Tobias Wolbring

Abstract. Factorial survey experiments are increasingly used in the social sciences to investigate behavioral intentions. The measurement of self-reported behavioral intentions with factorial survey experiments frequently assumes that the determinants of intended behavior affect actual behavior in a similar way. We critically investigate this fundamental assumption using the misdirected email technique. Student participants of a survey were randomly assigned to a field experiment or a survey experiment. The email informs the recipient about the reception of a scholarship with varying stakes (full-time vs. book) and recipient’s names (German vs. Arabic). In the survey experiment, respondents saw an image of the same email. This validation design ensured a high level of correspondence between units, settings, and treatments across both studies. Results reveal that while the frequencies of self-reported intentions and actual behavior deviate, treatments show similar relative effects. Hence, although further research on this topic is needed, this study suggests that determinants of behavior might be inferred from behavioral intentions measured with survey experiments.


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