On The Logic Of The Social Sciences

"Mahoney's starting point is the problem of essentialism in social science. Essentialism--the belief that the members of a category possess hidden properties ("essences") that make them members of the category and that endow them with a certain nature--is appropriate for scientific categories ("atoms", for instance) but not for human ones ("revolutions," for instance). Despite this, much social science research takes place from within an essentialist orientation; those who reject this assumption goes so far in the other direction as to reject the idea of an external reality, independent of human beings, altogether. Mahoney proposes an alternative approach that aspires to bridge this enduring rift in the social sciences between those who take a scientific approach and assume that social science categories correspond to external reality (and thus believe that the methods used in the natural sciences are generally appropriate for the social sciences) and those who take a constructivist approach and believe that because the categories used to understand the social world are humanly-constructed, they cannot possibly follow the science of the natural world. As the name suggests, scientific constructivism brings in aspects of both views and attempts to unite them. Drawing from cognitive science, it focuses on using the rational parts of our brain machinery to overcome the limitations and deeply seated biases (such as essentialism) of our evolved minds. Specifically, Mahoney puts forth a "set-theoretic analysis" that focuses on "sets" of categories as they exist in the mind that are also subject to the mathematical logic of set-theory. He spends the first four chapters of the book establishing the foundations and methods for set-theoretic analysis, the next four chapters looking and how this analysis fits with the existing tools of social science, and the final four chapters focusing on how this approach can be used to study and understand cases"--

In this wide-ranging work, now available in paperback, Habermas presents his views on the nature of the social sciences and their distinctive methodology and concerns. He examines, among other things, the traditional division between the natural sciences and the social sciences; the characteristics of social action and the implications of theories of language for social enquiry; and the nature, tasks and limitations of hermeneutics. Habermas' analysis of these and other themes is, as always, rigorous, perceptive and constructive. This brilliant study succeeds in highlighting the distinctive characteristics of the social sciences and in outlining the nature of, and prospects for, critical theory today.

The book, titled “Linguistic Fuzzy-Logic Methods in Social Sciences,” is a first in its kind. Linguistic fuzzy logic theory deals with sets or categories whose boundaries are blurry or, in other words, “fuzzy,” and which are expressed in a formalism that uses “words” to compute, not numbers, termed in engineering as “soft computing.” This book presents an accessible introduction to this linguistic fuzzy logic methodology, focusing on its applicability to social sciences. Specifically, this is the first book to propose an approach based on linguistic fuzzy-logic and the method of computing with words to the analysis of decision making processes, strategic interactions, causality, and data analysis in social sciences. The project consists of systematic, theoretical and practical discussions and developments of these new methods as well as their applications to various substantive issues of interest to international relations scholars, political scientists, and social scientists in general.

This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.

“You might think that dancing doesn’t have a lot to do with social research, and doing social research is probably why you picked this book up in the first place. But trust me. Salsa dancing is a practice as well as a metaphor for a kind of research that will make your life easier and better.” Savvy, witty, and sensible, this unique book is both a handbook for defining and completing a research project, and an astute introduction to the neglected history and changeable philosophy of modern social science. In this volume, Kristin Luker guides novice researchers in: knowing the difference between an area of interest and a research topic; defining the relevant parts of a potentially infinite research literature; mastering sampling, operationalization, and generalization; understanding which research methods best answer your questions; beating writer’s block. Most important, she shows how friendships, non-academic interests, and even salsa dancing can make for a better researcher. “You know about setting the kitchen timer and writing for only an hour, or only 15 minutes if you are feeling particularly anxious. I wrote a fairly large part of this book feeling exactly like that. If I can write an entire book 15 minutes at a time, so can you.”

Arthur L. Stinchcombe has earned a reputation as a leading practitioner of methodology in sociology and related disciplines. Throughout his distinguished career he has championed the idea that to be an effective sociologist, one must use many methods. This incisive work introduces students to the logic of those methods. The Logic of Social Research orients students to a set of logical problems that all methods must address to study social causation. Almost all sociological theory asserts that some social conditions produce other social conditions, but the theoretical links between causes and effects are not easily supported by observation. Observations cannot directly show causation, but they can reject or support causal theories with different degrees of credibility. As a result, sociologists have created four main types of methods that Stinchcombe terms quantitative, historical, ethnographic, and experimental to support their theories. Each method has value, and each has its uses for different research purposes. Accessible and astute, The Logic of Social Research offers an image of what sociology is, what it's all about, and what the craft of the sociologist consists of.