Quantitative Social Science

An Introduction

Author: Kosuke Imai

Publisher: Princeton University Press

ISBN: 0691175462

Category: Social Science

Page: 432

View: 7480

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An introductory textbook on data analysis and statistics written especially for students in the social sciences and allied fields Quantitative analysis is an increasingly essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it—or if they do, they usually end up in statistics classes that offer few insights into their field. This textbook is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, such as economics, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the R programming language and to interpret the results—it encourages hands-on learning, not paper-and-pencil statistics. More than forty data sets taken directly from leading quantitative social science research illustrate how data analysis can be used to answer important questions about society and human behavior. Proven in the classroom, this one-of-a-kind textbook features numerous additional data analysis exercises and interactive R programming exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including economics, sociology, public policy, and data science Provides hands-on instruction using R programming, not paper-and-pencil statistics Includes more than forty data sets from actual research for students to test their skills on Covers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical tools Features a wealth of supplementary exercises, including additional data analysis exercises and interactive programming exercises Offers a solid foundation for further study Comes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides
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Quantitative Social Science Data with R

An Introduction

Author: Brian J. Fogarty

Publisher: SAGE

ISBN: 1526459728

Category: Social Science

Page: 328

View: 6916

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"A great, action-oriented book for novice data analysts. If you have no background in quantitative social science, Fogarty's book gives you a toolbox for starting statistical analysis and developing your skills" - Jamie Monogan, Associate Professor of Political Science, University of Georgia Relevant, engaging, and packed with student-focused learning features, this book provides the step-by-step introduction to quantitative research and data every student needs. Gradually introducing applied statistics and R, it uses examples from across the social sciences to show you how to apply abstract statistical and methodological principles to your own work. At a student-friendly pace, it enables you to: - Understand and use quantitative data to answer questions - Approach surrounding ethical issues - Collect quantitative data - Manage, write about, and share the data effectively Supported by incredible digital resources with online tutorials, videos, datasets, and multiple choice questions, this book gives you not only the tools you need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what you have learned. Brian J. Fogarty is a Lecturer in Quantitative Social Science on the Glasgow Q-Step Programme in the School of Social and Political Sciences at the University of Glasgow.
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Introduction to Quantitative Research Methods

An Investigative Approach

Author: Mark Balnaves,Peter Caputi

Publisher: SAGE

ISBN: 1848608640

Category: Social Science

Page: 272

View: 3696

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Introduction to Quantitative Research Methods is a student-friendly introduction to quantitative research methods and basic statistics. It uses a detective theme throughout the text and in multimedia courseware to show how quantitative methods have been used to solve real-life problems. The book focuses on principles and techniques that are appropriate to introductory level courses in media, psychology and sociology. Examples and illustrations are drawn from historical and contemporary research in the social sciences. The multimedia courseware provides tutorial work on sampling, basic statistics, and techniques for seeking information from databases and other sources. The statistics modules can be used as either part of a detective games or directly in teaching and learning. Brief video lessons in SPSS, using real datasets, are also a feature of the CD-ROM. Why would you choose Introduction to Quantitative Research Methods - It is theoretical, providing a concise overview of issues of quantitative research. - It is practical, providing case studies that exemplify the different ways of research is conducted in the social sciences (ranging from psychology to sociology, politics and media). - It is educational, providing practical vignettes, and chapter highlights for revision. - It is integrative, producing a typology of different ways of conducting quantitative research methods. - It is international, providing case studies from a range of countries. - It is innovative, providing multimedia tutorials on generic research and statistical skills. - It is clear, concise and accessible.
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Data Mining for the Social Sciences

An Introduction

Author: Paul Attewell,David Monaghan

Publisher: Univ of California Press

ISBN: 0520280970

Category: Political Science

Page: 264

View: 9064

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"We live, today, in world of big data. The amount of information collected on human behavior every day is staggering, and exponentially greater than at any time in the past. At the same time, we are inundated by stories of powerful algorithms capable of churning through this sea of data and uncovering patterns. These techniques go by many names - data mining, predictive analytics, machine learning - and they are being used by governments as they spy on citizens and by huge corporations are they fine-tune their advertising strategies. And yet social scientists continue mainly to employ a set of analytical tools developed in an earlier era when data was sparse and difficult to come by. In this timely book, Paul Attewell and David Monaghan provide a simple and accessible introduction to Data Mining geared towards social scientists. They discuss how the data mining approach differs substantially, and in some ways radically, from that of conventional statistical modeling familiar to most social scientists. They demystify data mining, describing the diverse set of techniques that the term covers and discussing the strengths and weaknesses of the various approaches. Finally they give practical demonstrations of how to carry out analyses using data mining tools in a number of statistical software packages. It is the hope of the authors that this book will empower social scientists to consider incorporating data mining methodologies in their analytical toolkits"--Provided by publisher.
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Data Analysis

An Introduction

Author: Michael Lewis-Beck

Publisher: SAGE

ISBN: 9780803957725

Category: Medical

Page: 77

View: 5834

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This accessible introduction to data analysis focuses on the interpretation of statistical results, in particular those which come from nonexperimental social research. It will provide social science researchers with the tools necessary to select and evaluate statistical tests appropriate for their research question. Using a consistent data-set throughout the book to illustrate the various analytic techniques, Michael Lewis-Beck covers topics such as univariate statistics, measures of association, the statistical significance of the relationship between two variables, simple regression in which the dependent variable is influenced by a single independent variable, and multiple regression.
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Beginning Statistics

An Introduction for Social Scientists

Author: Liam Foster,Ian Diamond,Julie Jefferies

Publisher: SAGE

ISBN: 1473909228

Category: Social Science

Page: 304

View: 9397

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In the Second Edition of this bestselling textbook, the authors use real-world examples to introduce basic principles in statistics with no prior knowledge or experience assumed. With an emphasis on describing concepts, showing through example and illustrating points with graphs and displays, this book will provide readers with a step-by-step introduction to using statistics. Chapters address the following questions: Why bother learning statistics in the first place and are they relevant to real life? How do I make sensible tables and informative graphs? What are descriptive and inferential statistics and how are they used? What are regression and correlation anyway?
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An Introduction to Data Analysis

Quantitative, Qualitative and Mixed Methods

Author: Tiffany Bergin

Publisher: SAGE

ISBN: 1526452316

Category: Social Science

Page: 296

View: 2055

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Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis. Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient data analysts, but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media. It includes advice on: - Data analysis frameworks - Validity and credibility of data - Sampling techniques - Data management - The big data phenomenon - Data visualisation - Effective data communication Whether you are new to data analysis or looking for a quick-reference guide to key principles of the process, this book will help you uncover nuances, complexities, patterns, and relationships among all types of data.
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Introduction to Social Research

Quantitative and Qualitative Approaches

Author: Keith F Punch

Publisher: SAGE

ISBN: 1446296164

Category: Social Science

Page: 408

View: 8618

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In the new edition of Introduction to Social Research, Keith Punch takes a fresh look at the entire research process, from formulating a research question to writing up your research. Covering qualitative, quantitative and mixed methods, the book focuses on matching research questions to appropriate methods. Offering concise, balanced coverage, this book clearly explains the underlying principles of social research and shows you how to put this understanding into practice. The third edition includes: A new chapter on literature searching and reviewing Expanded coverage of ethics A new section on using the internet in research A range of additional student learning features A brand new companion website including full-text journal articles, additional case studies and video tutorials. Using a range of examples from student research and published work, the book is an ideal introduction for any social science student taking a research methods course or embarking on their own undergraduate or postgraduate research project. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.
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