Quantitative Social Science

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Quantitative Social Science

Author : Kosuke Imai,Lori D. Bougher
Publisher : Princeton University Press
Page : 464 pages
File Size : 46,6 Mb
Release : 2021-03-16
Category : Political Science
ISBN : 9780691191096

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Quantitative Social Science by Kosuke Imai,Lori D. Bougher Pdf

"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"--

Quantitative Social Science

Author : Kosuke Imai,Lori D. Bougher
Publisher : Princeton University Press
Page : 472 pages
File Size : 53,8 Mb
Release : 2021-03-16
Category : Social Science
ISBN : 9780691191294

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Quantitative Social Science by Kosuke Imai,Lori D. Bougher Pdf

The Stata edition of the groundbreaking textbook on data analysis and statistics for 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 business, economics, education, political science, psychology, sociology, public policy, and data science. Quantitative Social Science engages directly with empirical analysis, showing students how to analyze data using the Stata statistical software and interpret the results—it emphasizes hands-on learning, not paper-and-pencil statistics. More than fifty 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 classrooms around the world, this one-of-a-kind textbook features numerous additional data analysis exercises, and also comes with supplementary teaching materials for instructors. Written especially for students in the social sciences and allied fields, including business, economics, education, psychology, political science, sociology, public policy, and data science Provides hands-on instruction using Stata, not paper-and-pencil statistics Includes more than fifty 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

Quantitative Methods for the Social Sciences

Author : Daniel Stockemer
Publisher : Springer
Page : 185 pages
File Size : 40,9 Mb
Release : 2018-11-19
Category : Social Science
ISBN : 9783319991184

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Quantitative Methods for the Social Sciences by Daniel Stockemer Pdf

This textbook offers an essential introduction to survey research and quantitative methods. Building on the premise that statistical methods need to be learned in a practical fashion, the book guides students through the various steps of the survey research process and helps to apply those steps toward a real example. In detail, the textbook introduces students to the four pillars of survey research and quantitative analysis: (1) the importance of survey research, (2) preparing a survey, (3) conducting a survey and (4) analyzing a survey. Students are shown how to create their own questionnaire based on some theoretically derived hypotheses to achieve empirical findings for a solid dataset. Lastly, they use said data to test their hypotheses in a bivariate and multivariate realm. The book explains the theory, rationale and mathematical foundations of these tests. In addition, it provides clear instructions on how to conduct the tests in SPSS and Stata. Given the breadth of its coverage, the textbook is suitable for introductory statistics, survey research or quantitative methods classes in the social sciences.

Quantitative Social Science Data with R

Author : Brian J. Fogarty
Publisher : SAGE
Page : 462 pages
File Size : 53,9 Mb
Release : 2018-11-24
Category : Social Science
ISBN : 9781526459725

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Quantitative Social Science Data with R by Brian J. Fogarty Pdf

"One of the few books that provide an accessible introduction to quantitative data analysis with R. A particular strength of the text is the focus on ′real world′ examples which help students to understand why they are learning these methods." - Dr Roxanne Connelly, University of York 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.

Doing Quantitative Research in the Social Sciences

Author : Thomas R Black
Publisher : SAGE
Page : 768 pages
File Size : 43,7 Mb
Release : 1999-03-30
Category : Social Science
ISBN : 9781446223635

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Doing Quantitative Research in the Social Sciences by Thomas R Black Pdf

This original textbook provides a comprehensive and integrated approach to using quantitative methods in the social sciences. Thomas R Black guides the student and researcher through the minefield of potential problems that may be confronted, and it is this emphasis on the practical that distinguishes his book from others which focus exclusively on either research design and measurement or statistical methods. Focusing on the design and execution of research, key topics such as planning, sampling, the design of measuring instruments, choice of statistical text and interpretation of results are examined within the context of the research process. In a lively and accessible style, the student is introduced to researc design issues alongside statistical procedures and encouraged to develop analytical and decision-making skills.

The SAGE Handbook of Quantitative Methodology for the Social Sciences

Author : David Kaplan
Publisher : SAGE
Page : 532 pages
File Size : 42,8 Mb
Release : 2004-06-21
Category : Reference
ISBN : 0761923594

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The SAGE Handbook of Quantitative Methodology for the Social Sciences by David Kaplan Pdf

Quantitative methodology is a highly specialized field, and as with any highly specialized field, working through idiosyncratic language can be very difficult made even more so when concepts are conveyed in the language of mathematics and statistics. The Sage Handbook of Quantitative Methodology for the Social Sciences was conceived as a way of introducing applied statisticians, empirical researchers, and graduate students to the broad array of state-of-the-art quantitative methodologies in the social sciences. The contributing authors of the Handbook were asked to write about their areas of expertise in a way that would convey to the reader the utility of their respective methodologies. Relevance to real-world problems in the social sciences is an essential ingredient of each chapter. The Handbook consists of six sections comprising twenty-five chapters, from topics in scaling and measurement, to advances in statistical modelling methodologies, and finally to broad philosophical themes that transcend many of the quantitative methodologies covered in this handbook.

Time Counts

Author : Gregory Wawro,Ira Katznelson
Publisher : Princeton University Press
Page : 258 pages
File Size : 48,5 Mb
Release : 2022-05-03
Category : Political Science
ISBN : 9780691155050

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Time Counts by Gregory Wawro,Ira Katznelson Pdf

How to study the past using data Quantitative Analysis for Historical Social Science advances historical research in the social sciences by bridging the divide between qualitative and quantitative analysis. Gregory Wawro and Ira Katznelson argue for an expansion of the standard quantitative methodological toolkit with a set of innovative approaches that better capture nuances missed by more commonly used statistical methods. Demonstrating how to employ such promising tools, Wawro and Katznelson address the criticisms made by prominent historians and historically oriented social scientists regarding the shortcomings of mainstream quantitative approaches for studying the past. Traditional statistical methods have been inadequate in addressing temporality, periodicity, specificity, and context—features central to good historical analysis. To address these shortcomings, Wawro and Katznelson argue for the application of alternative approaches that are particularly well-suited to incorporating these features in empirical investigations. The authors demonstrate the advantages of these techniques with replications of research that locate structural breaks and uncover temporal evolution. They develop new practices for testing claims about path dependence in time-series data, and they discuss the promise and perils of using historical approaches to enhance causal inference. Opening a dialogue among traditional qualitative scholars and applied quantitative social scientists focusing on history, Quantitative Analysis for Historical Social Science illustrates powerful ways to move historical social science research forward.

Applied Quantitative Analysis in Education and the Social Sciences

Author : Yaacov Petscher,Christopher Schatschneider,Donald L. Compton
Publisher : Routledge
Page : 389 pages
File Size : 52,5 Mb
Release : 2013-03-05
Category : Education
ISBN : 9781136266331

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Applied Quantitative Analysis in Education and the Social Sciences by Yaacov Petscher,Christopher Schatschneider,Donald L. Compton Pdf

To say that complex data analyses are ubiquitous in the education and social sciences might be an understatement. Funding agencies and peer-review journals alike require that researchers use the most appropriate models and methods for explaining phenomena. Univariate and multivariate data structures often require the application of more rigorous methods than basic correlational or analysis of variance models. Additionally, though a vast set of resources may exist on how to run analysis, difficulties may be encountered when explicit direction is not provided as to how one should run a model and interpret results. The mission of this book is to expose the reader to advanced quantitative methods as it pertains to individual level analysis, multilevel analysis, item-level analysis, and covariance structure analysis. Each chapter is self-contained and follows a common format so that readers can run the analysis and correctly interpret the output for reporting.

Data Analysis for Social Science

Author : Elena Llaudet,Kosuke Imai
Publisher : Princeton University Press
Page : 256 pages
File Size : 54,6 Mb
Release : 2022-11-29
Category : Computers
ISBN : 9780691199436

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Data Analysis for Social Science by Elena Llaudet,Kosuke Imai Pdf

"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--

Quantitative Methods in Social Science Research

Author : Stephen Gorard
Publisher : A&C Black
Page : 269 pages
File Size : 55,9 Mb
Release : 2003-10-01
Category : Education
ISBN : 9781441144768

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Quantitative Methods in Social Science Research by Stephen Gorard Pdf

This clever scheme builds on Gorard's previous book, Quantitative Methods in Educational Research. He has revised the original book in the light of experience and feedback, and has reworked it so that it includes more social science examples. Four chapters are entirely new.

A Tale of Two Cultures

Author : Gary Goertz,James Mahoney
Publisher : Princeton University Press
Page : 248 pages
File Size : 52,7 Mb
Release : 2012-09-09
Category : Political Science
ISBN : 9780691149714

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A Tale of Two Cultures by Gary Goertz,James Mahoney Pdf

Some in the social sciences argue that the same logic applies to both qualitative and quantitative methods. In A Tale of Two Cultures, Gary Goertz and James Mahoney demonstrate that these two paradigms constitute different cultures, each internally coherent yet marked by contrasting norms, practices, and toolkits. They identify and discuss major differences between these two traditions that touch nearly every aspect of social science research, including design, goals, causal effects and models, concepts and measurement, data analysis, and case selection. Although focused on the differences between qualitative and quantitative research, Goertz and Mahoney also seek to promote toleration, exchange, and learning by enabling scholars to think beyond their own culture and see an alternative scientific worldview. This book is written in an easily accessible style and features a host of real-world examples to illustrate methodological points.

The Reviewer’s Guide to Quantitative Methods in the Social Sciences

Author : Gregory R. Hancock,Ralph O. Mueller,Laura M. Stapleton
Publisher : Routledge
Page : 449 pages
File Size : 47,5 Mb
Release : 2010-04-26
Category : Education
ISBN : 9781135172992

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The Reviewer’s Guide to Quantitative Methods in the Social Sciences by Gregory R. Hancock,Ralph O. Mueller,Laura M. Stapleton Pdf

Designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond, this title includes chapters that address traditional and emerging quantitative methods of data analysis.

Calculus

Author : Gudmund R. Iversen
Publisher : SAGE
Page : 92 pages
File Size : 55,5 Mb
Release : 1996-01-18
Category : Mathematics
ISBN : 0803971109

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Calculus by Gudmund R. Iversen Pdf

This overview of the central ideas of calculus provides many examples of how calculus is used to translate many real world phenomena into mathematical functions.

Multi-Method Social Science

Author : Jason Seawright
Publisher : Cambridge University Press
Page : 247 pages
File Size : 46,9 Mb
Release : 2016-09-08
Category : Reference
ISBN : 9781107097711

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Multi-Method Social Science by Jason Seawright Pdf

This book provides the first systematic guide to designing multi-method research, considering a wide range of statistical and qualitative tools.

Quantitative Social Science

Author : Kosuke Imai,Nora Webb Williams
Publisher : Princeton University Press
Page : 478 pages
File Size : 40,8 Mb
Release : 2022-08-02
Category : Social Science
ISBN : 9780691222288

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Quantitative Social Science by Kosuke Imai,Nora Webb Williams Pdf

A tidyverse edition of the acclaimed textbook on data analysis and statistics for the social sciences and allied fields Quantitative analysis is an essential skill for social science research, yet students in the social sciences and related areas typically receive little training in it. Quantitative Social Science is a practical introduction to data analysis and statistics written especially for undergraduates and beginning graduate students in the social sciences and allied fields, including business, economics, education, political science, psychology, sociology, public policy, and data science. Proven in classrooms around the world, this one-of-a-kind textbook engages directly with empirical analysis, showing students how to analyze and interpret data using the tidyverse family of R packages. Data sets taken directly from leading quantitative social science research illustrate how to use data analysis to answer important questions about society and human behavior. Emphasizes hands-on learning, not paper-and-pencil statisticsIncludes data sets from actual research for students to test their skills onCovers data analysis concepts such as causality, measurement, and prediction, as well as probability and statistical toolsFeatures a wealth of supplementary exercises, including additional data analysis exercises and programming exercisesOffers a solid foundation for further studyComes with additional course materials online, including notes, sample code, exercises and problem sets with solutions, and lecture slides