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Quantitative Social Science Data with R
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Quantitative Social Science Data with R
An Introduction



November 2018 | 328 pages | SAGE Publications Ltd

"A great, action-oriented book for novice data analysts. If you have no background in quantitative social science, Fogarty's book gives you a toolbox for starting statistical analysis and developing your skills" - Jamie Monogan, Associate Professor of Political Science, University of Georgia

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.  

Brian J. Fogarty
 is a Lecturer in Quantitative Social Science on the Glasgow Q-Step Programme in the School of Social and Political Sciences at the University of Glasgow. 

 
Chapter 1: Introduction
 
Chapter 2: Introduction to R and R Studio
 
Chapter 3: Finding Data
 
Chapter 4: Data Management
 
Chapter 5: Variables & Manipulation
 
Chapter 6: Developing Hypotheses
 
Chapter 7: Univariate & Descriptive Statistics
 
Chapter 8: Visualising Data
 
Chapter 9: Hypothesis Testing
 
Chapter 10: Bivariate Analysis
 
Chapter 11: Linear Regression & Model Building
 
Chapter 12: OLS Assumptions & Diagnostic Testing
 
Chapter 13: Putting it all Together

A great, action-oriented book for novice data analysts. If you have no background in quantitative social science, Fogarty's book gives you a toolbox for starting statistical analysis and developing your skills.

Jamie Monogan
Associate Professor of Political Science, University of Georgia

The chapters are well organised and guide the student through the background using worked examples – this is vital to gain the necessary proficiency in the R interface. I would recommend this book to anyone wanting to develop not only software competence, but a wider appreciation of the background to data analysis techniques in the social sciences.

Gareth Norris
Senior Lecturer in Psychology, Aberystwyth University

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