Social Science for What?

Social Science for What?
Author: Mark Solovey
Publisher: MIT Press
Total Pages: 409
Release: 2020-07-07
Genre: Political Science
ISBN: 0262358751

How the NSF became an important yet controversial patron for the social sciences, influencing debates over their scientific status and social relevance. In the early Cold War years, the U.S. government established the National Science Foundation (NSF), a civilian agency that soon became widely known for its dedication to supporting first-rate science. The agency's 1950 enabling legislation made no mention of the social sciences, although it included a vague reference to "other sciences." Nevertheless, as Mark Solovey shows in this book, the NSF also soon became a major--albeit controversial--source of public funding for them.

How Does Social Science Work?

How Does Social Science Work?
Author: Paul Diesing
Publisher: University of Pittsburgh Press
Total Pages: 430
Release: 1992-03-15
Genre: Social Science
ISBN: 0822971534

The culmination of a lifetime spent in a variety of fields - sociology, anthropology, economics, psychology, and philosophy of science - How Does Social Science Work? takes an innovative, sometimes iconoclastic look at social scientists at work in many disciplines. It describes how they investigate and the kinds of truth they produce, illuminating the weaknesses and dangers inherent in their research.At once an analysis, a critique, and a synthesis, this major study begins by surveying philosophical approaches to hermeneutics, to examine the question of how social science ought to work. It illustrates many of its arguments with untraditional examples, such as the reception of the work of the political biographer Robert Caro to show the hermeneutical problems of ethnographers. The major part of the book surveys sociological, political, and psychological studies of social science to get a rounded picture of how social science works,Paul Diesling warns that "social science exists between two opposite kinds of degeneration, a value-free professionalism that lives only for publications that show off the latest techniques, and a deep social concern that uses science for propaganda." He argues for greater self-awareness and humility among social scientists, although he notes that "some social scientists . . . will angrily reject the thought that their personality affects their research in any way."This profound and sometimes witty book will appeal to students and practitioners in the social sciences who are ready to take a fresh look at their field. An extensive bibliography provides a wealth of references across an array of social science disciplines.

Applied Meta-Analysis for Social Science Research

Applied Meta-Analysis for Social Science Research
Author: Noel A. Card
Publisher: Guilford Publications
Total Pages: 401
Release: 2015-10-06
Genre: Psychology
ISBN: 1462525008

Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs. ÿ

On Social Structure and Science

On Social Structure and Science
Author: Robert K. Merton
Publisher: University of Chicago Press
Total Pages: 64
Release: 1996-09-15
Genre: Philosophy
ISBN: 9780226520704

Robert K. Merton is unarguably one of the most influential sociologists of his time. A figure whose wide-ranging theoretical and methodological contributions have become fundamental to the field, Merton is best known for introducing such concepts and procedures as unanticipated consequences, self-fulfilling prophecies, focused group interviews, middle-range theory, opportunity structure, and analytic paradigms. This definitive compilation encompasses the breadth and brilliance of his works, from the earliest to the most recent. Merton's foundational writings on social structure and process, on the sociology of science and knowledge, and on the discipline and trajectory of sociology itself are all powerfully represented, as are his autobiographical insights in a fascinating coda. Anchored by Piotr Sztompka's contextualizing introduction, Merton's vast oeuvre emerges as a dynamic and profoundly coherent system of thought, a constant source of vitality and renewal for present and future sociology.

Time Series Analysis for the Social Sciences

Time Series Analysis for the Social Sciences
Author: Janet M. Box-Steffensmeier
Publisher: Cambridge University Press
Total Pages: 297
Release: 2014-12-22
Genre: Political Science
ISBN: 1316060500

Time series, or longitudinal, data are ubiquitous in the social sciences. Unfortunately, analysts often treat the time series properties of their data as a nuisance rather than a substantively meaningful dynamic process to be modeled and interpreted. Time Series Analysis for the Social Sciences provides accessible, up-to-date instruction and examples of the core methods in time series econometrics. Janet M. Box-Steffensmeier, John R. Freeman, Jon C. Pevehouse and Matthew P. Hitt cover a wide range of topics including ARIMA models, time series regression, unit-root diagnosis, vector autoregressive models, error-correction models, intervention models, fractional integration, ARCH models, structural breaks, and forecasting. This book is aimed at researchers and graduate students who have taken at least one course in multivariate regression. Examples are drawn from several areas of social science, including political behavior, elections, international conflict, criminology, and comparative political economy.

Narratives in Social Science Research

Narratives in Social Science Research
Author: Barbara Czarniawska-Joerges
Publisher: SAGE
Total Pages: 172
Release: 2004-03-27
Genre: Language Arts & Disciplines
ISBN: 9780761941958

Provides: an historical overview of the development of the narrative approach; a guide to how narrative methods can be applied in fieldwork; how to incorporate a narrative approach within a field project; guidelines for interpreting collected or produced narratives; and useful guides for further reading.

Interviewing in Social Science Research

Interviewing in Social Science Research
Author: Lee Ann Fujii
Publisher: Routledge
Total Pages: 219
Release: 2017-07-28
Genre: Political Science
ISBN: 1135015384

What is interviewing and when is this method useful? What does it mean to select rather than sample interviewees? Once the researcher has found people to interview, how does she build a working relationship with her interviewees? What should the dynamics of talking and listening in interviews be? How do researchers begin to analyze the narrative data generated through interviews? Lee Ann Fujii explores the answers to these inquiries in Interviewing in Social Science Research, the latest entry in the Routledge Series on Interpretive Methods. This short, highly readable book explores an interpretive approach to interviewing for purposes of social science research. Using an interpretive methodology, the book examines interviewing as a relational enterprise. As a relational undertaking, interviewing is more akin to a two-way dialogue than a one-way interrogation. Fujii examines the methodological foundations for a relational approach to interviewing, while at the same time covering many of the practical nuts and bolts of relational interviewing. Examples come from the author’s experiences conducting interviews in Bosnia, Rwanda, and the United States, and from relevant literatures across a variety of social scientific disciplines. Appendices to the book contain specific tips and suggestions for relational interviewing in addition to interview excerpts that give readers a sense of how relational interviews unfold. This book will be of great value to graduate students and researchers from across the social sciences who are considering or planning to use interviews in their research, and can be easily used by academics for teaching courses or workshops in social science methods.

Quantitative Social Science

Quantitative Social Science
Author: Kosuke Imai
Publisher: Princeton University Press
Total Pages: 464
Release: 2021-03-16
Genre: Political Science
ISBN: 0691191093

"Princeton University Press published Imai's textbook, Quantitative Social Science: An Introduction, an introduction to quantitative methods and data science for upper level undergrads and graduates in professional programs, in February 2017. What is distinct about the book is how it leads students through a series of applied examples of statistical methods, drawing on real examples from social science research. The original book was prepared with the statistical software R, which is freely available online and has gained in popularity in recent years. But many existing courses in statistics and data sciences, particularly in some subject areas like sociology and law, use STATA, another general purpose package that has been the market leader since the 1980s. We've had several requests for STATA versions of the text as many programs use it by default. This is a "translation" of the original text, keeping all the current pedagogical text but inserting the necessary code and outputs from STATA in their place"--

How to Build Social Science Theories

How to Build Social Science Theories
Author: Pamela J. Shoemaker
Publisher: SAGE Publications
Total Pages: 241
Release: 2003-12-10
Genre: Language Arts & Disciplines
ISBN: 1452210438

Click ′Additional Materials′ to read the foreword by Jerald Hage As straightforward as its title, How to Build Social Science Theories sidesteps the well-traveled road of theoretical examination by demonstrating how new theories originate and how they are elaborated. Essential reading for students of social science research, this book traces theories from their most rudimentary building blocks (terminology and definitions) through multivariable theoretical statements, models, the role of creativity in theory building, and how theories are used and evaluated. Authors Pamela J. Shoemaker, James William Tankard, Jr., and Dominic L. Lasorsa intend to improve research in many areas of the social sciences by making research more theory-based and theory-oriented. The book begins with a discussion of concepts and their theoretical and operational definitions. It then proceeds to theoretical statements, including hypotheses, assumptions, and propositions. Theoretical statements need theoretical linkages and operational linkages; this discussion begins with bivariate relationships, as well as three-variable, four-variable, and further multivariate relationships. The authors also devote chapters to the creative component of theory-building and how to evaluate theories. How to Build Social Science Theories is a sophisticated yet readable analysis presented by internationally known experts in social science methodology. It is designed primarily as a core text for graduate and advanced undergraduate courses in communication theory. It will also be a perfect addition to any course dealing with theory and research methodology across the social sciences. Additionally, professional researchers will find it an indispensable guide to the genesis, dissemination, and evaluation of social science theories.