Quantitative Social Science Data with R: An Introduction

by Brian J Fogarty

"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

-       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. 

328 pages, Kindle Edition

Published November 24, 2018

Reviews

[Taylor · Rating 1 out of 5]

God I hat data science I hate hate hate it and this book was sort of helpful but not at all ugh why did I do this program what I need is stats for dummies and stats in the real world not stupid fucking assumptions about your OLS bullshit. What are SSMs and why do I need to calculate just tell me how to understand stats in the news also data is always messy should spend more time ON CLEANING FUCKING DATA (book was actually helpful just mad at this class and lack of teaching in it especially when learning a new language)