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Doing Computational Social Science

A Practical Introduction

By: John McLevey

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Hardcover | 25 December 2021

At a Glance

Hardcover
688 Pages

Dimensions(cm)
24.41 x 16.99 x 3.66

Hardcover

$451.75

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Computational approaches offer exciting opportunities for us to do social science differently. This beginner's guide discusses a range of computational methods and how to use them to study the problems and questions you want to research.

It assumes no knowledge of programming, offering step-by-step guidance for coding in Python and drawing on examples of real data analysis to demonstrate how you can apply each approach in any discipline.

The book also:

Considers important principles of social scientific computing, including transparency, accountability and reproducibility.
Understands the realities of completing research projects and offers advice for dealing with issues such as messy or incomplete data and systematic biases.
Empowers you to learn at your own pace, with online resources including screencast tutorials and datasets that enable you to practice your skills and get up to speed.

For anyone who wants to use computational methods to conduct a social science research project, this book equips you with the skills, good habits and best working practices to do rigorous, high quality work.

Industry Reviews

This book adds two key components critical for social science students that are often lacking in other texts. The first is a discussion of key computing components starting at the most basic – often these steps are overlooked in texts written for computer science students. Second is the excellent grounding in and integration with social science theory and concepts.

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