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Quantitative Social Science Data with R Brian J Fogarty

Quantitative Social Science Data with R By Brian J Fogarty

Quantitative Social Science Data with R by Brian J Fogarty


$52.99
Condition - New
7 in stock

Summary

This practical, step-by-step introduction to quantitative social science using R will provide low-level undergraduates with a foundation of understanding, ready to build upon as students advance throughout statistics

Quantitative Social Science Data with R Summary

Quantitative Social Science Data with R: An Introduction by Brian J Fogarty

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.

About Brian J Fogarty

Brian Fogarty is Director of and Associate Professor of the Practice at the Center for Social Science Research, within the Center for Research Computing, at the University of Notre Dame, US. He is also concurrent research assistant professor in the Department of Political Science. As director of the CSSR, he works with social science researchers to support their project research design, data, and quantitative analysis needs. His current research focuses on the news media as a strategic actor in politics and understanding perceptions of voter and electoral fraud. Before joining Notre Dame, he was a lecturer in quantitative social science at the University of Glasgow's Q-Step Centre. Prior to joining Glasgow, he was an associate professor of political science at the University of Missouri - St. Louis. He received his Ph.D. in political science from the University of North Carolina - Chapel Hill.

Table of Contents

Introduction Introduction To R And R Studio Finding Data Data Management Variables And Manipulation Developing Hypotheses Univariate And Descriptive Statistics Data Visualisation Hypothesis Testing Bivariate Analysis Linear Regression And Model Building OLS Assumptions And Diagnostic Testing Generalised Linear Models Count Models Putting It All Together

Additional information

NGR9781529790450
9781529790450
152979045X
Quantitative Social Science Data with R: An Introduction by Brian J Fogarty
New
Paperback
SAGE Publications Ltd
2023-04-03
408
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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