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Quantitative Social Science Data with R

2023-03-11 Social Science
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Release : 2023-03-11
Genre : Social Science
Kind : eBook
Book Rating : 228/5 ( reviews)

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Book Synopsis Quantitative Social Science Data with R by : Brian J. Fogarty

Download or read book Quantitative Social Science Data with R written by Brian J. Fogarty. This book was released on 2023-03-11. Available in PDF, EPUB and Kindle. Book excerpt: 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. Gradually introducing applied statistics and the language and functionality of R and R Studio software, it uses examples from across the social sciences to show students how to apply abstract statistical and methodological principles to their own work. Maintaining a student-friendly pace, it goes beyond a normal introductory statistics book and shows students where data originates and how 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 students not only the tools they need to understand statistics, quantitative data, and R software, but also the chance to practice and apply what they have learned.

Quantitative Social Science

2022-08-02 Social Science
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Release : 2022-08-02
Genre : Social Science
Kind : eBook
Book Rating : 282/5 ( reviews)

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Book Synopsis Quantitative Social Science by : Kosuke Imai

Download or read book Quantitative Social Science written by Kosuke Imai. This book was released on 2022-08-02. Available in PDF, EPUB and Kindle. Book excerpt: 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 with R

2013
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Release : 2013
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Quantitative Social Science Data with R by : Brian Fogarty

Download or read book Quantitative Social Science Data with R written by Brian Fogarty. This book was released on 2013. Available in PDF, EPUB and Kindle. Book excerpt:

Quantitative Social Science

2021-03-16 Political Science
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Release : 2021-03-16
Genre : Political Science
Kind : eBook
Book Rating : 093/5 ( reviews)

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Book Synopsis Quantitative Social Science by : Kosuke Imai

Download or read book Quantitative Social Science written by Kosuke Imai. This book was released on 2021-03-16. Available in PDF, EPUB and Kindle. Book excerpt: "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 Data with R

2018-11-24 Social Science
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Release : 2018-11-24
Genre : Social Science
Kind : eBook
Book Rating : 728/5 ( reviews)

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Book Synopsis Quantitative Social Science Data with R by : Brian J. Fogarty

Download or read book Quantitative Social Science Data with R written by Brian J. Fogarty. This book was released on 2018-11-24. Available in PDF, EPUB and Kindle. Book excerpt: "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.

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