Introduction To R For Social Scientists

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Introduction to R for Social Scientists

Ryan Kennedy,Philip D. Waggoner
Introduction to R for Social Scientists Book PDF

Author : Ryan Kennedy,Philip D. Waggoner
Publisher : CRC Press
Page : 198 pages
File Size : 50,8 Mb
Release : 2021-02-23
Category : Mathematics
ISBN : 9781000353853

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Introduction to R for Social Scientists by Ryan Kennedy,Philip D. Waggoner Pdf

Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology. Whether used as a reference manual or read from cover to cover, readers will be equipped with a deeper understanding of R and the Tidyverse, as well as a framework for how best to leverage these powerful tools to write tidy, efficient code for solving problems. To this end, the authors provide many suggestions for additional readings and tools to build on the concepts covered. They use all covered techniques in their own work as scholars and practitioners.

Doing Data Science in R

Mark Andrews
Doing Data Science in R Book PDF

Author : Mark Andrews
Publisher : SAGE
Page : 576 pages
File Size : 54,8 Mb
Release : 2021-03-31
Category : Social Science
ISBN : 9781529752694

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Doing Data Science in R by Mark Andrews Pdf

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually. This book: Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical methods needed to provide the right type and level of analysis their data requires Explores the foundations of data science and breaks down the processes involved, focusing on the link between data science and practical social science skills Introduces R at the outset and includes extensive worked examples and R code every step of the way, ensuring students see the value of R and its connection to methods while providing hands-on practice in the software Provides examples and datasets from different disciplines and locations demonstrate the widespread relevance, possible applications, and impact of data science across the social sciences.

Quantitative Social Science

Kosuke Imai,Lori D. Bougher
Quantitative Social Science Book PDF

Author : Kosuke Imai,Lori D. Bougher
Publisher : Princeton University Press
Page : 464 pages
File Size : 51,5 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"--

Data Analysis for Social Science

Elena Llaudet,Kosuke Imai
Data Analysis for Social Science Book PDF

Author : Elena Llaudet,Kosuke Imai
Publisher : Princeton University Press
Page : 256 pages
File Size : 46,8 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 Social Science Data with R

Brian J. Fogarty
Quantitative Social Science Data with R Book PDF

Author : Brian J. Fogarty
Publisher : SAGE
Page : 462 pages
File Size : 41,9 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.

Introduction to Data Science for Social and Policy Research

Jose Manuel Magallanes Reyes
Introduction to Data Science for Social and Policy Research Book PDF

Author : Jose Manuel Magallanes Reyes
Publisher : Cambridge University Press
Page : 317 pages
File Size : 49,7 Mb
Release : 2017-09-21
Category : Mathematics
ISBN : 9781107117419

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Introduction to Data Science for Social and Policy Research by Jose Manuel Magallanes Reyes Pdf

This comprehensive guide provides a step-by-step approach to data collection, cleaning, formatting, and storage, using Python and R.

Using R for Data Analysis in Social Sciences

Quan Li
Using R for Data Analysis in Social Sciences Book PDF

Author : Quan Li
Publisher : Oxford University Press
Page : 369 pages
File Size : 43,9 Mb
Release : 2018
Category : Business & Economics
ISBN : 9780190656218

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Using R for Data Analysis in Social Sciences by Quan Li Pdf

Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate published findings. Using R for Data Analysis in Social Sciences adopts a minimalist approach and covers only the most important functions and skills in R to conduct reproducible research. It emphasizes the practical needs of students using R by showing how to import, inspect, and manage data, understand the logic of statistical inference, visualize data and findings via histograms, boxplots, scatterplots, and diagnostic plots, and analyze data using one-sample t-test, difference-of-means test, covariance, correlation, ordinary least squares (OLS) regression, and model assumption diagnostics. It also demonstrates how to replicate the findings in published journal articles and diagnose model assumption violations. Because the book integrates R programming, the logic and steps of statistical inference, and the process of empirical social scientific research in a highly accessible and structured fashion, it is appropriate for any introductory course on R, data analysis, and empirical social-scientific research.

R for Data Science

Hadley Wickham,Garrett Grolemund
R for Data Science Book PDF

Author : Hadley Wickham,Garrett Grolemund
Publisher : "O'Reilly Media, Inc."
Page : 521 pages
File Size : 47,5 Mb
Release : 2016-12-12
Category : Computers
ISBN : 9781491910368

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R for Data Science by Hadley Wickham,Garrett Grolemund Pdf

Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Quantitative Social Science Data with R

Brian J. Fogarty
Quantitative Social Science Data with R Book PDF

Author : Brian J. Fogarty
Publisher : SAGE Publications Limited
Page : 566 pages
File Size : 52,9 Mb
Release : 2023-03-11
Category : Social Science
ISBN : 9781529614220

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

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.

Data Analytics for the Social Sciences

G. David Garson
Data Analytics for the Social Sciences Book PDF

Author : G. David Garson
Publisher : Routledge
Page : 704 pages
File Size : 50,5 Mb
Release : 2021-11-30
Category : Psychology
ISBN : 9781000467086

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Data Analytics for the Social Sciences by G. David Garson Pdf

Data Analytics for the Social Sciences is an introductory, graduate-level treatment of data analytics for social science. It features applications in the R language, arguably the fastest growing and leading statistical tool for researchers. The book starts with an ethics chapter on the uses and potential abuses of data analytics. Chapters 2 and 3 show how to implement a broad range of statistical procedures in R. Chapters 4 and 5 deal with regression and classification trees and with random forests. Chapter 6 deals with machine learning models and the "caret" package, which makes available to the researcher hundreds of models. Chapter 7 deals with neural network analysis, and Chapter 8 deals with network analysis and visualization of network data. A final chapter treats text analysis, including web scraping, comparative word frequency tables, word clouds, word maps, sentiment analysis, topic analysis, and more. All empirical chapters have two "Quick Start" exercises designed to allow quick immersion in chapter topics, followed by "In Depth" coverage. Data are available for all examples and runnable R code is provided in a "Command Summary". An appendix provides an extended tutorial on R and RStudio. Almost 30 online supplements provide information for the complete book, "books within the book" on a variety of topics, such as agent-based modeling. Rather than focusing on equations, derivations, and proofs, this book emphasizes hands-on obtaining of output for various social science models and how to interpret the output. It is suitable for all advanced level undergraduate and graduate students learning statistical data analysis.

Introduction to R for Social Scientists

Ryan Kennedy,Philip D. Waggoner
Introduction to R for Social Scientists Book PDF

Author : Ryan Kennedy,Philip D. Waggoner
Publisher : CRC Press
Page : 225 pages
File Size : 45,6 Mb
Release : 2021-02-11
Category : Mathematics
ISBN : 9781000353877

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Introduction to R for Social Scientists by Ryan Kennedy,Philip D. Waggoner Pdf

Introduction to R for Social Scientists: A Tidy Programming Approach introduces the Tidy approach to programming in R for social science research to help quantitative researchers develop a modern technical toolbox. The Tidy approach is built around consistent syntax, common grammar, and stacked code, which contribute to clear, efficient programming. The authors include hundreds of lines of code to demonstrate a suite of techniques for developing and debugging an efficient social science research workflow. To deepen the dedication to teaching Tidy best practices for conducting social science research in R, the authors include numerous examples using real world data including the American National Election Study and the World Indicators Data. While no prior experience in R is assumed, readers are expected to be acquainted with common social science research designs and terminology. Whether used as a reference manual or read from cover to cover, readers will be equipped with a deeper understanding of R and the Tidyverse, as well as a framework for how best to leverage these powerful tools to write tidy, efficient code for solving problems. To this end, the authors provide many suggestions for additional readings and tools to build on the concepts covered. They use all covered techniques in their own work as scholars and practitioners.

Advances in Social Science Research Using R

Hrishikesh D. Vinod
Advances in Social Science Research Using R Book PDF

Author : Hrishikesh D. Vinod
Publisher : Springer Science & Business Media
Page : 219 pages
File Size : 40,9 Mb
Release : 2009-12-24
Category : Business & Economics
ISBN : 9781441917645

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Advances in Social Science Research Using R by Hrishikesh D. Vinod Pdf

Quantitative social science research has been expanding due to the ava- ability of computers and data over the past few decades. Yet the textbooks and supplements for researchers do not adequately highlight the revolution created by the R software [2] and graphics system. R is fast becoming the l- gua franca of quantitative research with some 2000 free specialized packages, where the latest versions can be downloaded in seconds. Many packages such as “car” [1] developed by social scientists are popular among all scientists. An early 2009 article [3] in the New York Times notes that statisticians, engineers and scientists without computer programming skills ?nd R “easy to use.” A common language R can readily promote deeper mutual respect and understanding of unique problems facing quantitative work in various social sciences. Often the solutions developed in one ?eld can be extended and used in many ?elds. This book promotes just such exchange of ideas across many social sciences. Since Springer has played a leadership role in promoting R, we are fortunate to have Springer publish this book. A Conference on Quantitative Social Science Research Using R was held in New York City at the Lincoln Center campus of Fordham University, June 18–19, 2009. This book contains selected papers presented at the conference, representing the “Proceedings” of the conference.

Data Management in R

Martin Elff
Data Management in R Book PDF

Author : Martin Elff
Publisher : SAGE
Page : 410 pages
File Size : 48,5 Mb
Release : 2020-12-02
Category : Social Science
ISBN : 9781529737660

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Data Management in R by Martin Elff Pdf

An invaluable, step-by-step guide to data management in R for social science researchers. This book will show you how to recode data, combine data from different sources, document data, and import data from statistical packages other than R. It explores both qualitative and quantitative data and is packed with a range of supportive learning features such as code examples, overview boxes, images, tables, and diagrams.

Quantitative Methods for the Social Sciences

Daniel Stockemer
Quantitative Methods for the Social Sciences Book PDF

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.

Programming with Python for Social Scientists

Phillip D. Brooker
Programming with Python for Social Scientists Book PDF

Author : Phillip D. Brooker
Publisher : SAGE
Page : 354 pages
File Size : 40,7 Mb
Release : 2019-12-09
Category : Social Science
ISBN : 9781526486349

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Programming with Python for Social Scientists by Phillip D. Brooker Pdf

As data become ′big′, fast and complex, the software and computing tools needed to manage and analyse them are rapidly developing. Social scientists need new tools to meet these challenges, tackle big datasets, while also developing a more nuanced understanding of - and control over - how these computing tools and algorithms are implemented. Programming with Python for Social Scientists offers a vital foundation to one of the most popular programming tools in computer science, specifically for social science researchers, assuming no prior coding knowledge. It guides you through the full research process, from question to publication, including: the fundamentals of why and how to do your own programming in social scientific research, questions of ethics and research design, a clear, easy to follow ′how-to′ guide to using Python, with a wide array of applications such as data visualisation, social media data research, social network analysis, and more. Accompanied by numerous code examples, screenshots, sample data sources, this is the textbook for social scientists looking for a complete introduction to programming with Python and incorporating it into their research design and analysis.