How to use web scraping for social science : sampling and generalizability / by James W. Besse.

Format:

Book

Author/Creator:

Besse, James W., author.

Series:

SAGE research methods: doing research online

Language:

English

Subjects (All):

Social sciences--Research--Methodology.

Social sciences.

Quantitative research.

Physical Description:

1 online resource.

Place of Publication:

London : SAGE Publications, Ltd., 2022.

Language Note:

In English.

Summary:

With people spending more of their lives online, the internet offers a vast repository of data about social life. In this guide, students will learn about web scraping and its application in social research. Web scraping is a powerful set of techniques for obtaining such data in usefully structured ways, making it a popular data collection method in contemporary social research. Students will first learn what web scraping is, the available techniques for conducting it, and core considerations for designing a research project using web scraping. Subsequently, the guide is dedicated to issues of sampling and generalizability. How does sampling work in web scraping? Is it the same as in offline social research, or do unique issues present themselves? How do you generalize from the results of social research using web scraping? At the end of this guide, students interested in using web scraping should be able to answer such questions and have a clear understanding of how sampling and generalizability will work in their own research.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

1-5296-1119-9

9781529611199

OCLC:

1335036549