Selections from the work of an influential contributor to the methodology of the social sciences. He treats: measurement, experimental design, epistemology, and sociology of science each section introduced by the editor, Samuel Overman. Annotation copyright Book News, Inc. Portland, Or.
This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among others, the individual contributions cover topics like social media, learning analytics, clustering, statistical literacy, recurrence analysis and network analysis. Data science is a multidisciplinary approach based mainly on the methods of statistics and computer science, and its aim is to develop appropriate methodologies for forecasting and decision-making in response to an increasingly complex reality often characterized by large amounts of data (big data) of various types (numeric, ordinal and nominal variables, symbolic data, texts, images, data streams, multi-way data, social networks etc.) and from diverse sources. This book presents selected papers from the international conference on Data Science & Social Research, held in Naples, Italy in February 2016, and will appeal to researchers in the social sciences working in academia as well as in statistical institutes and offices.
A revolutionary textbook introducing masters and doctoral students to the major research approaches and methodologies in the social sciences. Written by an outstanding set of scholars, and derived from successful course teaching, this volume will empower students to choose their own approach to research, to justify this approach, and to situate it within the discipline. It addresses questions of ontology, epistemology and philosophy of social science, and proceeds to issues of methodology and research design essential for producing a good research proposal. It also introduces researchers to the main issues of debate and contention in the methodology of social sciences, identifying commonalities, historic continuities and genuine differences.
The last decades have seen major reformations in the philosophy and history of science. What has been called 'post-positivist' philosophy of science has introduced radically new concerns with historical, social, and valuative components of scientific thought in the natural sciences, and has raised up the demons of relativism, subjectivism and sociologism to haunt the once calm precincts of objectivity and realism. Though these disturbances intruded upon what had seemed to be the logically well-ordered domain of the philoso phy of the natural sciences, they were no news to the social sciences. There, the messy business of human action, volition, decision, the considerations of practical purposes and social values, the role of ideology and the problem of rationality, had long conspired to defeat logical-reconstructionist programs. The attempt to tarne the social sciences to the harness of a strict hypothetico deductive model of explanation failed. Within the social sciences, phenome nological, Marxist, hermeneuticist, action-theoretical approaches vied in attempting to capture the distinctiveness of human phenomena. In fact, the philosophy of the natural sciences, even in its 'hard' forms, has itself become infected with the increasing reflection upon the role of such social-scientific categories, in the attempt to understand the nature of the scientific enterprise.
This book has been written primarily for the applied and social scientist and student who longs for an integrated picture of the foundations on which his research must ultimately rest; but hopefully the book may also serve philosophers interested in applied disciplines and in systems methodology. If integration was the major motto, the need for a method ology, appropriate to the teleological peculiarities of all applied sciences, was the main impetus behind the conception of the present work. This need I felt a long time ago in my own area of analytical and empirical research in accounting theory and management science; later I had the opportunity to teach, for almost a decade, graduate seminars in Methodology which offered particular insight into the methodological needs of students of such applied disciplines as business administration, education, engineering, infor matics, etc. Out of this effort grew the present book which among other things tries, on one side, to illuminate the difference and relationship between methods of cognition and methods of decision and on the other, to sketch a framework suitable for depicting means-end relationships in a holistic setting. I believe that a systems methodology which incorporates recent endeavours of deontic logic, decision theory, information economics and related areas would be eminently suited to break the ground for such a future framework. Yet systems theory has two major shortcomings which might prevent it from evolving into the desired methodology of applied science.
This book investigates how collaborative scientific practice yields scientific knowledge. At a time when most of today’s scientific knowledge is created in research groups, the author reconsiders the social character of science to address the question of whether collaboratively created knowledge should be considered as collective achievement, and if so, in which sense. Combining philosophical analysis with qualitative empirical inquiry, this book provides a comparative case study of mono- and interdisciplinary research groups, offering insight into the day-to-day practice of scientists. The book includes field observations and interviews with scientists to present an empirically-grounded perspective on much-debated questions concerning research groups’ division of labor, relations of epistemic dependence and trust.
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.
The purpose of the multilevel approach is to understand individual behaviors taking into account the social context in which they occur. This book deals with concepts and methods underlying this approach. This book is of interest to a broad audience of social scientists, statisticians and philosophers concerned with new issues raised by the multilevel approach, and more generally with explanation in the social sciences.