Time Series Analysis for the Social Sciences

Time Series Analysis for the Social Sciences PDF Author: Janet M. Box-Steffensmeier
Publisher: Cambridge University Press
ISBN: 1316060500
Category : Political Science
Languages : en
Pages : 297

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Book Description
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.

Time Series Analysis for the Social Sciences

Time Series Analysis for the Social Sciences PDF Author: Janet M. Box-Steffensmeier
Publisher: Cambridge University Press
ISBN: 1316060500
Category : Political Science
Languages : en
Pages : 297

Get Book Here

Book Description
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.

How Does Social Science Work?

How Does Social Science Work? PDF Author: Paul Diesing
Publisher: University of Pittsburgh Press
ISBN: 0822971534
Category : Social Science
Languages : en
Pages : 430

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Book Description
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 PDF Author: Noel A. Card
Publisher: Guilford Publications
ISBN: 1462525008
Category : Psychology
Languages : en
Pages : 401

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Book Description
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

Rocking Qualitative Social Science

Rocking Qualitative Social Science PDF Author: Ashley T. Rubin
Publisher: Stanford University Press
ISBN: 1503628248
Category : Social Science
Languages : en
Pages : 398

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Book Description
Unlike other athletes, the rock climber tends to disregard established norms of style and technique, doing whatever she needs to do to get to the next foothold. This figure provides an apt analogy for the scholar at the center of this unique book. In Rocking Qualitative Social Science, Ashley Rubin provides an entertaining treatise, corrective vision, and rigorously informative guidebook for qualitative research methods that have long been dismissed in deference to traditional scientific methods. Recognizing the steep challenges facing many, especially junior, social science scholars who struggle to adapt their research models to narrowly defined notions of "right," Rubin argues that properly nourished qualitative research can generate important, creative, and even paradigm-shifting insights. This book is designed to help people conduct good qualitative research, talk about their research, and evaluate other scholars' work. Drawing on her own experiences in research and life, Rubin provides tools for qualitative scholars, synthesizes the best advice, and addresses the ubiquitous problem of anxiety in academia. Ultimately, this book argues that rigorous research can be anything but rigid.

Hierarchy in Natural and Social Sciences

Hierarchy in Natural and Social Sciences PDF Author: Denise Pumain
Publisher: Springer Science & Business Media
ISBN: 1402041276
Category : Business & Economics
Languages : en
Pages : 248

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Book Description
Hierarchy is a form of organisation of complex systems that rely on or produce a strong differentiation in capacity (power and size) between the parts of the system. It is frequently observed within the natural living world as well as in social institutions. According to the authors, hierarchy results from random processes, follows an intentional design, or is the result of the organisation which ensures an optimal circulation of energy for information. This book reviews ancient and modern representations and explanations of hierarchies, and compares their relevance in a variety of fields, such as language, societies, cities, and living species. It throws light on concepts and models such as scaling laws, fractals and self-organisation that are fundamental in the dynamics and morphology of complex systems. At a time when networks are celebrated for their efficiency, flexibility and better social acceptance, much can be learned about the persistent universality and adaptability of hierarchies, and from the analogies and differences between biological and social organisation and processes. This book addresses a wide audience of biologists and social scientists, as well as managers and executives in a variety of institutions.

How to Read Journal Articles in the Social Sciences

How to Read Journal Articles in the Social Sciences PDF Author: Phillip C. Shon
Publisher: SAGE
ISBN: 1473933633
Category : Language Arts & Disciplines
Languages : en
Pages : 145

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Book Description
This superb guide teaches you how to read critically. Its no-nonsense, practical approach uses a specially developed reading code to help you read articles for your research project; this simple code enables you to decipher journal articles structurally, mechanically and grammatically. Refreshingly free of jargon and written with you in mind, it’s packed full of interdisciplinary advice that helps you to decode and critique academic writing. The author’s fuss free approach will improve your performance, boost your confidence and help you to: Read and better understand content Take relevant effective notes Manage large amounts of information in an easily identifiable and retrievable format Write persuasively using formal academic language and style. New to this edition: Additional examples across a range of subjects, including education, health and sociology as well as criminology Refined terminology for students in the UK, as well as around the world More examples dealing specifically with journal articles. Clear, focused and practical this handy guide is a great resource for helping you sharpen your use of journal articles and improve your academic writing skills. ‘I have used the book over the last five years with my students with great success. The book has helped students to develop their critical thinking, reading and writing skills and when it comes to writing a dissertation they have used the code sheet in their own writing.’ - Pete Allison, Head of the Graduate School of Education, University of Edinburgh The Student Success series are essential guides for students of all levels. From how to think critically and write great essays to planning your dream career, the Student Success series helps you study smarter and get the best from your time at university. Visit the SAGE Study Skills hub for tips and resources for study success!

Social Science for What?

Social Science for What? PDF Author: Mark Solovey
Publisher: MIT Press
ISBN: 0262358751
Category : Political Science
Languages : en
Pages : 409

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Book Description
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.

Narratives in Social Science Research

Narratives in Social Science Research PDF Author: Barbara Czarniawska-Joerges
Publisher: SAGE
ISBN: 9780761941958
Category : Language Arts & Disciplines
Languages : en
Pages : 172

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Book Description
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.

Introduction to Time Series Analysis

Introduction to Time Series Analysis PDF Author: Mark Pickup
Publisher: SAGE Publications
ISBN: 1483313115
Category : Social Science
Languages : en
Pages : 233

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Book Description
Introducing time series methods and their application in social science research, this practical guide to time series models is the first in the field written for a non-econometrics audience. Giving readers the tools they need to apply models to their own research, Introduction to Time Series Analysis, by Mark Pickup, demonstrates the use of—and the assumptions underlying—common models of time series data including finite distributed lag; autoregressive distributed lag; moving average; differenced data; and GARCH, ARMA, ARIMA, and error correction models. “This volume does an excellent job of introducing modern time series analysis to social scientists who are already familiar with basic statistics and the general linear model.” —William G. Jacoby, Michigan State University

Publications. Social Science Series

Publications. Social Science Series PDF Author: Indiana University
Publisher:
ISBN:
Category :
Languages : en
Pages : 672

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Book Description