Quantitative social science data with R : an introduction

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Title:

Author:

Fogarty, Brian J., author.

ISBN:

9781529790467

9781529790450

Personal Author:

Fogarty, Brian J., author.

Edition:

2nd edition.

Physical Description:

x, 390 pages : illustrations (some color) ; 25 cm

Abstract:

"This practical, step-by-step introduction to quantitative social science using R will provide you with a foundation of understanding, ready to build upon as you advance throughout statistics. Brian Fogarty answers your research question using real world data, complete with explanations and discussion to provide give wider context. With features such as case studies, data sets, R exercises and videos, it explores the full integration of digital tools and methods within social science. Alongside these, the text is accompanied by online material such as tutorials, additional readings and PowerPoint slides to help put what you've just learnt into practice. Overall, this book will help you: Apply digital tools to your research using R Gain practical skills around data management and statistics Understand how quantitative data can be applied to the real world Brian Fogarty is the Director at the Center for Social Science Research for University of Notre Dame"-- Provided by publisher.

Subject Term:

Social sciences -- Research -- Data processing.

Quantitative research -- Data processing.

R (Computer program language)

Copies:

Available:*

Library	Material Type	Item Barcode	Shelf Number	Copy	Status
Searching... 1:IIESDN	1:GEN-BOOK	000099823	001.42 FOG	1	Searching... Unknown

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Summary

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.