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Quantitative Social Science Data with R

Quantitative Social Science Data with R
An Introduction

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January 2019 | 328 pages | SAGE Publications Ltd

"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.

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

Its content meets the learning outcomes of my module, and the last chapter offers a comprehensive overview of the data analysis procedure. It is a great book that offers Intro to statistististics, and data analysis using R for social scientists. To complement the book, I intend to modify some codes to demonstrate the tidyverse approach.

Dr Sook Kim
Social Statistics, Manchester University
November 7, 2022

Not adopted at the general reading list, but I recommend it to students planning to use R

Dr Elise Øby
Curriculum, Østfold University College
February 2, 2020

This is a very good read for students interested in a more quantitative approach to big data in media studies.

Dr Antje Glück
School of Arts & Media, Teesside University
March 9, 2020

Still to make some changes to our course scope, but this is a perfect book.

Dr Jack Cunliffe
School of Social Policy, Sociology & Social Research , University of Kent
October 23, 2019

An excellent, very accessible and up-to-date textbook for teaching R to social scientists!
It covers all aspects of a standard curriculum and thus provides a concise and very useful introduction.

Dr Thees Spreckelsen
Department of Social Policy and Intervention, University of Oxford
April 8, 2019

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