Search Results for "the-science-game-an-introduction-to-research-in-the-social-sciences"

The science game

The science game

an introduction to research in the social sciences

  • Author: Neil McK. Agnew,Sandra W. Pyke
  • Publisher: Prentice Hall
  • ISBN: N.A
  • Category: Social Science
  • Page: 301
  • View: 3845
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The Science of Stories

The Science of Stories

An Introduction to Narrative Psychology

  • Author: János László
  • Publisher: Routledge
  • ISBN: 1134048416
  • Category: Language Arts & Disciplines
  • Page: 240
  • View: 5862
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The Science of Stories explores the role narrative plays in human life. Supported by in-depth research, the book demonstrates how the ways in which people tell their stories can be indicative of how they construct their worlds and their own identities. Based on linguistic analysis and computer technology, Laszlo offers an innovative methodology which aims to uncover underlying psychological processes in narrative texts. The reader is presented with a theoretical framework along with a series of studies which explore the way a systematic linguistic analysis of narrative discourse can lead to a scientific study of identity construction, both individual and group. The book gives a critical overview of earlier narrative theories and summarizes previous scientific attempts to uncover relationships between language and personality. It also deals with social memory and group identity: various narrative forms of historical representations (history books, folk narratives, historical novels) are analyzed as to how they construct the past of a nation. The Science of Stories is the first book to build a bridge between scientific and hermeneutic studies of narratives. As such, it will be of great interest to a diverse spectrum of readers in social science and the liberal arts, including those in the fields of cognitive science, social psychology, linguistics, philosophy, literary studies and history.

The SAGE Handbook of Quantitative Methodology for the Social Sciences

The SAGE Handbook of Quantitative Methodology for the Social Sciences

  • Author: David Kaplan
  • Publisher: SAGE Publications
  • ISBN: 1483365875
  • Category: Social Science
  • Page: 528
  • View: 9512
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The SAGE Handbook of Quantitative Methodology for the Social Sciences is the definitive reference for teachers, students, and researchers of quantitative methods in the social sciences, as it provides a comprehensive overview of the major techniques used in the field. The contributors, top methodologists and researchers, have written about their areas of expertise in ways that convey the utility of their respective techniques, but, where appropriate, they also offer a fair critique of these techniques. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter and makes this an invaluable resource.

Doing Research in Cultural Studies

Doing Research in Cultural Studies

An Introduction to Classical and New Methodological Approaches

  • Author: Paula Saukko
  • Publisher: SAGE
  • ISBN: 9780761965053
  • Category: Social Science
  • Page: 219
  • View: 5179
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`This book is a goldmine for students...it is brilliantly conceptualized and brilliantly executed. With this book cultural studies finally comes of age methodologically' - Professor Norman K Denzin, Institute of Communications Research, University of Illinois Doing Research in Cultural Studies outlines the key methodological approaches to the study of lived experience, texts and social contexts within the field of cultural studies. It offers a comprehensive discussion of classical methodologies and introduces the reader to more contemporary debates that have argued for new ethnographic, poststructuralist and multi-scape research methods. Through a detailed yet concise explanation, the reader is shown how these methodologies work and how their outcomes may be interpreted. Key features of the book include: - An innovative framework - combining different methodologies and approaches. - A variety of `real-life' examples and case studies - enriches the book for the reader - A set of practical exercises in each chapter - pedagogical and student-focused throughout. The book has a flowing narrative and student-friendly structure which make it accessible to and popular with students, while the discussion of fresh approaches makes it also of interest to experienced researchers. It contains all the ingredients necessary to help the reader attain a solid grasp of analytical and practical challenges to doing effective research in cultural studies today.

An Introduction to Research, Analysis, and Writing

An Introduction to Research, Analysis, and Writing

Practical Skills for Social Science Students

  • Author: Bruce Oliver Newsome
  • Publisher: SAGE Publications
  • ISBN: 1483352560
  • Category: Social Science
  • Page: 376
  • View: 5427
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An Introduction to Research, Analysis, and Writing by Bruce Oliver Newsome is an accessible guide that walks readers through the process of completing a social science project. Written specifically to meet the needs of undergraduate research classes, it introduces students to a complete skill set, including: planning, design, analysis, argumentation, criticizing theories, building theories, modeling theories, choosing methods, gathering data, presenting evidence, and writing the final product. Students can use this text as a practical resource to navigate through each stage of the process, including choices between more advanced research techniques.

Computational and Mathematical Modeling in the Social Sciences

Computational and Mathematical Modeling in the Social Sciences

  • Author: Scott de Marchi
  • Publisher: Cambridge University Press
  • ISBN: 113944686X
  • Category: Political Science
  • Page: 197
  • View: 7800
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Mathematical models in the social sciences have become increasingly sophisticated and widespread in the last decade. This period has also seen many critiques, most lamenting the sacrifices incurred in pursuit of mathematical rigor. If, as critics argue, our ability to understand the world has not improved during the mathematization of the social sciences, we might want to adopt a different paradigm. This book examines the three main fields of mathematical modeling - game theory, statistics, and computational methods - and proposes a new framework for modeling. Unlike previous treatments which view each field separately, the treatment provides a framework that spans and incorporates the different methodological approaches. The goal is to arrive at a new vision of modeling that allows researchers to solve more complex problems in the social sciences. Additionally, a special emphasis is placed upon the role of computational modeling in the social sciences.

How to Critique Journal Articles in the Social Sciences

How to Critique Journal Articles in the Social Sciences

  • Author: Scott R. Harris
  • Publisher: SAGE Publications
  • ISBN: 1483322912
  • Category: Social Science
  • Page: 136
  • View: 5166
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How to Critique Journal Articles in the Social Sciences, by Scott R. Harris, is a brief, introductory book that provides readers with a step-by-step guide to reading and understanding a social science research article. The author demonstrates the many strengths of social research, including its advantages over ordinary ways of knowing things, and, at the same time, points out that research is inevitably flawed. Rather than naively assuming that good research simply produces “The Truth” or cynically asserting that research is hopelessly biased and futile, this book instills in readers a critical perspective—one that appreciates the strengths and weaknesses of any piece of scholarship.

Bit by Bit

Bit by Bit

Social Research in the Digital Age

  • Author: Matthew J. Salganik
  • Publisher: Princeton University Press
  • ISBN: 1400888182
  • Category: Social Science
  • Page: 448
  • View: 3682
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An innovative and accessible guide to doing social research in the digital age In just the past several years, we have witnessed the birth and rapid spread of social media, mobile phones, and numerous other digital marvels. In addition to changing how we live, these tools enable us to collect and process data about human behavior on a scale never before imaginable, offering entirely new approaches to core questions about social behavior. Bit by Bit is the key to unlocking these powerful methods—a landmark book that will fundamentally change how the next generation of social scientists and data scientists explores the world around us. Bit by Bit is the essential guide to mastering the key principles of doing social research in this fast-evolving digital age. In this comprehensive yet accessible book, Matthew Salganik explains how the digital revolution is transforming how social scientists observe behavior, ask questions, run experiments, and engage in mass collaborations. He provides a wealth of real-world examples throughout and also lays out a principles-based approach to handling ethical challenges. Bit by Bit is an invaluable resource for social scientists who want to harness the research potential of big data and a must-read for data scientists interested in applying the lessons of social science to tomorrow’s technologies. Illustrates important ideas with examples of outstanding research Combines ideas from social science and data science in an accessible style and without jargon Goes beyond the analysis of “found” data to discuss the collection of “designed” data such as surveys, experiments, and mass collaboration Features an entire chapter on ethics Includes extensive suggestions for further reading and activities for the classroom or self-study

An Introduction to Game Studies

An Introduction to Game Studies

  • Author: Frans Mäyrä
  • Publisher: SAGE
  • ISBN: 1473902924
  • Category: Language Arts & Disciplines
  • Page: 208
  • View: 613
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An Introduction to Game Studies is the first introductory textbook for students of game studies. It provides a conceptual overview of the cultural, social and economic significance of computer and video games and traces the history of game culture and the emergence of game studies as a field of research. Key concepts and theories are illustrated with discussion of games taken from different historical phases of game culture. Progressing from the simple, yet engaging gameplay of Pong and text-based adventure games to the complex virtual worlds of contemporary online games, the book guides students towards analytical appreciation and critical engagement with gaming and game studies. Students will learn to: - Understand and analyse different aspects of phenomena we recognise as 'game' and play' - Identify the key developments in digital game design through discussion of action in games of the 1970s, fiction and adventure in games of the 1980s, three-dimensionality in games of the 1990s, and social aspects of gameplay in contemporary online games - Understand games as dynamic systems of meaning-making - Interpret the context of games as 'culture' and subculture - Analyse the relationship between technology and interactivity and between 'game' and 'reality' - Situate games within the context of digital culture and the information society With further reading suggestions, images, exercises, online resources and a whole chapter devoted to preparing students to do their own game studies project, An Introduction to Game Studies is the complete toolkit for all students pursuing the study of games. The companion website at www.sagepub.co.uk/mayra contains slides and assignments that are suitable for self-study as well as for classroom use. Students will also benefit from online resources at www.gamestudiesbook.net, which will be regularly blogged and updated by the author. Professor Frans Mäyrä is a Professor of Games Studies and Digital Culture at the Hypermedia Laboratory in the University of Tampere, Finland.

Typologies and Taxonomies

Typologies and Taxonomies

An Introduction to Classification Techniques

  • Author: Kenneth D. Bailey
  • Publisher: SAGE
  • ISBN: 9780803952591
  • Category: Reference
  • Page: 90
  • View: 7885
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How do we group different subjects on a variety of variables? Should we use a classification procedure in which only the concepts are classified (typology), one in which only empirical entities are classified (taxonomy), or a combination of both? Kenneth D Bailey addresses these questions and shows how classification methods can be used to improve research. Beginning with an exploration of the advantages and disadvantages of classification procedures, the book covers topics such as: clustering procedures including agglomerative and divisive methods; the relationship among various classification techniques; how clustering methods compare with related statistical techniques; classification resources; and software packages fo

Mathematics for Social Scientists

Mathematics for Social Scientists

  • Author: Jonathan Kropko
  • Publisher: SAGE Publications
  • ISBN: 1506304222
  • Category: Social Science
  • Page: 408
  • View: 5861
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Written for social science students who will be working with or conducting research, Mathematics for Social Scientists offers a non-intimidating approach to learning or reviewing math skills essential in quantitative research methods. The text is designed to build students’ confidence by presenting material in a conversational tone and using a wealth of clear and applied examples. Author Jonathan Kropko argues that mastering these concepts will break students’ reliance on using basic models in statistical software, allowing them to engage with research data beyond simple software calculations.

Statistics for the Social Sciences

Statistics for the Social Sciences

  • Author: R. Mark Sirkin
  • Publisher: SAGE
  • ISBN: 9781412905466
  • Category: Mathematics
  • Page: 610
  • View: 3369
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Popular in previous editions, this Third Edition continues to help build students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fear them. Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained.

Computational Social Science

Computational Social Science

Discovery and Prediction

  • Author: R. Michael Alvarez
  • Publisher: Cambridge University Press
  • ISBN: 1316531287
  • Category: Political Science
  • Page: N.A
  • View: 6993
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Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.

Learning in the Field

Learning in the Field

An Introduction to Qualitative Research

  • Author: Gretchen B. Rossman,Sharon F. Rallis
  • Publisher: SAGE
  • ISBN: 1412980488
  • Category: Reference
  • Page: 365
  • View: 5846
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The popular text that helped readers better understand and practice qualitative research has been completely updated and revised. To help readers better visualize and grasp the concepts, issues, and complexities of qualitative inquiry, the authors introduce each chapter with discussions among three ′characters′--students whose research projects demonstrate the challenges and excitement of qualitative research. Woven into the chapters and the characters′ stories are three themes that make up the tapestry of qualitative research: First, research is a learning process. Second, research can and should be useful. Finally, a researcher needs to have a clear vision of the audience and purpose of a study.

Political Game Theory

Political Game Theory

An Introduction

  • Author: Nolan McCarty,Adam Meirowitz
  • Publisher: Cambridge University Press
  • ISBN: 1139461818
  • Category: Political Science
  • Page: N.A
  • View: 2821
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Political Game Theory is a self-contained introduction to game theory and its applications to political science. The book presents choice theory, social choice theory, static and dynamic games of complete information, static and dynamic games of incomplete information, repeated games, bargaining theory, mechanism design and a mathematical appendix covering, logic, real analysis, calculus and probability theory. The methods employed have many applications in various disciplines including comparative politics, international relations and American politics. Political Game Theory is tailored to students without extensive backgrounds in mathematics, and traditional economics, however there are also many special sections that present technical material that will appeal to more advanced students. A large number of exercises are also provided to practice the skills and techniques discussed.

Missing Data

Missing Data

A Gentle Introduction

  • Author: Patrick E. McKnight,Katherine M. McKnight,Souraya Sidani,Aurelio Jos‚ Figueredo
  • Publisher: Guilford Press
  • ISBN: 1606238205
  • Category: Social Science
  • Page: 251
  • View: 6055
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While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a study’s conclusions. They provide practical recommendations for designing studies that decrease the likelihood of missing data, and for addressing this important issue when reporting study results. When statistical remedies are needed--such as deletion procedures, augmentation methods, and single imputation and multiple imputation procedures--the book also explains how to make sound decisions about their use. Patrick E. McKnight's website offers a periodically updated annotated bibliography on missing data and links to other Web resources that address missing data.

Approaches and Methodologies in the Social Sciences

Approaches and Methodologies in the Social Sciences

A Pluralist Perspective

  • Author: Donatella Della Porta,Michael Keating
  • Publisher: Cambridge University Press
  • ISBN: 1139474596
  • Category: Political Science
  • Page: N.A
  • View: 3784
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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.

Research Design

Research Design

Creating Robust Approaches for the Social Sciences

  • Author: Stephen Gorard
  • Publisher: SAGE
  • ISBN: 1446290859
  • Category: Social Science
  • Page: 232
  • View: 1590
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Research design is of critical importance in social research, despite its relative neglect in many methods resources. Early consideration of design in relation to research questions leads to the elimination or diminution of threats to eventual research claims, by encouraging internal validity and substantially reducing the number of alternative explanations for any finite number of research 'observations'. This new book: discusses the nature of design; gives an introduction to design notation; offers a flexible approach to new designs; looks at a range of standard design models; and presents craft tips for real-life problems and compromises. Most importantly, it provides the rationale for preferring one design over another within any given context. Each section is illustrated with case studies of real work and concludes with suggested readings and topics for discussion in seminars and workshops, making it an ideal textbook for postgraduate research methods courses. Based on the author's teaching on the ESRC Doctoral Training Centre "Masters in Research Methods" at the University of Birmingham, and his ongoing work for the ESRC Researcher Development Initiative, this is an essential text for postgraduate researchers and academics. There is no book like Research Design on the market that addresses all of these issues in an easy to comprehend style, for those who want to design research and make critical judgements about the designs of others.

Laboratory Experiments in the Social Sciences

Laboratory Experiments in the Social Sciences

  • Author: Murray Webster,Jane Sell
  • Publisher: Elsevier
  • ISBN: 9780080546148
  • Category: Psychology
  • Page: 576
  • View: 6207
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Laboratory Experiments in the Social Sciences is the only book providing core information for researchers about the ways and means to conduct experiments. Its comprehensive regard for laboratory experiments encompasses “how-to explanations, investigations of philosophies and ethics, explorations of experiments in specific social science disciplines, and summaries of both the history and future of social science laboratories. No other book offers such a direct avenue to enlarging our knowledge in the social sciences. This collection of original chapters combines instructions and advice about the design of laboratory experiments in the social sciences with the array of other issues. While there are books on experimental design and chapters in more general methods books on design, theory, and ethical issues, no other book attempts to discuss the fundamental ideas of the philosophy of science or lays out the methods comprehensively or in such detail. Experimentation has recently prospered because of increasing interest in cross-disciplinary syntheses, and this book of advice, guidelines, and observations underline its potential and increasing importance. · Provides a comprehensive summary of issues in social science experimentation, from ethics to design, management, and financing · Offers "how-to" explanations of the problems and challenges faced by everyone involved in social science experiments · Pays attention to both practical problems and to theoretical and philosophical arguments · Defines commonalities and distinctions within and among experimental situations across the social sciences

Introduction to Computational Social Science

Introduction to Computational Social Science

Principles and Applications

  • Author: Claudio Cioffi-Revilla
  • Publisher: Springer
  • ISBN: 3319501313
  • Category: Computers
  • Page: 618
  • View: 3283
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This textbook provides a comprehensive and reader-friendly introduction to the field of computational social science (CSS). Presenting a unified treatment, the text examines in detail the four key methodological approaches of automated social information extraction, social network analysis, social complexity theory, and social simulation modeling. This updated new edition has been enhanced with numerous review questions and exercises to test what has been learned, deepen understanding through problem-solving, and to practice writing code to implement ideas. Topics and features: contains more than a thousand questions and exercises, together with a list of acronyms and a glossary; examines the similarities and differences between computers and social systems; presents a focus on automated information extraction; discusses the measurement, scientific laws, and generative theories of social complexity in CSS; reviews the methodology of social simulations, covering both variable- and object-oriented models.