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Quantitative Social Science Data With R

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Quantitative Social Science Data With R

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Author : Brian J. Fogarty
language : en
Publisher: SAGE
Release Date : 2018-11-24

Quantitative Social Science Data With R written by Brian J. Fogarty and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-24 with Social Science categories.

"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.

Quantitative Social Science Data With R

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Author : Brian J. Fogarty
language : en
Publisher: SAGE
Release Date : 2018-11-24

Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to quantitative research and data every student needs.

Quantitative Social Science

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Author : Kosuke Imai
language : en
Publisher: Princeton University Press
Release Date : 2021-03-16

Quantitative Social Science written by Kosuke Imai and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-16 with Social Science categories.

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 Social Science Data With R

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Author : Brian Fogarty
language : en
Publisher:
Release Date : 2013

Quantitative Social Science Data With R written by Brian Fogarty and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.

Quantitative Social Science Data Quality

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Author : Jacqueline L. Scott
language : en
Publisher:
Release Date : 2005

Quantitative Social Science Data Quality written by Jacqueline L. Scott and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Social sciences categories.

This selection of key articles on the statistical approach focuses on the advances and uses of quantitative research to address substantive issues in the social sciences. Moving beyond the unhelpful polarity of quantitative and qualitative, the editors cover an impressive range of topics and pull together the ideas and practice of a rich and varied range of quantitative social scientists.

Quantitative Social Science Data Analysis I

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Author : Jacqueline L. Scott
language : en
Publisher:
Release Date : 2005

Quantitative Social Science Data Analysis I written by Jacqueline L. Scott and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Social sciences categories.

Quantitative Social Science

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Author : Kosuke Imai
language : en
Publisher: Princeton University Press
Release Date : 2022-08-02

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

Quantitative Social Science Data Analysis Ii

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Author : Jacqueline L. Scott
language : en
Publisher:
Release Date : 2005

Quantitative Social Science Data Analysis Ii written by Jacqueline L. Scott and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Social sciences categories.

Data Analysis For Social Science

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Author : Elena Llaudet
language : en
Publisher: Princeton University Press
Release Date : 2023

Data Analysis For Social Science written by Elena Llaudet and has been published by Princeton University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Computers categories.

"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"--

Social Science Methods In The Legal Process

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Author : Noreen L. Channels
language : en
Publisher: Rowman & Littlefield Publishers
Release Date : 1985

Social Science Methods In The Legal Process written by Noreen L. Channels and has been published by Rowman & Littlefield Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Law categories.

This volume is the first to provide a systematic introduction to the methods of social science for the legal professions and decision-makers in public policy fields. Designed as both a text and a convenient reference, the book provides an understanding of all the elements in the research process and acquaints the reader with the choices that are available in designing and conducting research. A particularly useful feature is each chapter's examination of research cited in specific court or public policy decisions, together with discussion of possible legal applications of various research approaches.

Quantitative Social Science Data With R

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