Text Analysis for the Social Sciences (Routledge Communication Series)

ISBN 10: 0805817352 / ISBN 13: 9780805817355

Published by Routledge, 2020

About this Item

Cover may have light wear, pages in very good condition and binding is sturdy; may have other light shelf wear or creases. May have notes or highlighting.

Seller Inventory # EVV.0805817352.VG

Bibliographic Details

• Title: Text Analysis for the Social Sciences (Routledge Communication Series)
• Publisher: Routledge
• Publication Date: 2020
• Language: English
• ISBN 10: 0805817352
• ISBN 13: 9780805817355
• Binding: Soft cover
• Condition: very_good

About this title

Synopsis

This book provides descriptions and illustrations of cutting-edge text analysis methods for communication and marketing research; cultural, historical-comparative, and event analysis; curriculum evaluation; psychological diagnosis; language development research; and for any research in which statistical inferences are drawn from samples of texts. Although the book is accessible to readers having no experience with content analysis, the text analysis expert will find substantial new material in its pages. In particular, this collection describes developments in semantic and network text analysis methodologies that heretofore have been accessible only among a smattering of methodology journals.

The book's international and cross-disciplinary content illustrates the breadth of quantitative text analysis applications. These applications demonstrate the methods' utility for international research, as well as for practitioners from the fields of sociology, political science, journalism/communication, computer science, marketing, education, and English. This is an "ecumenical" collection that contains applications not only of the most recent semantic and network text analysis methods, but also of the more traditional thematic method of text analysis. In fact, it is originally with this volume that these two "relational" approaches to text analysis are defined and contrasted with more traditional "thematic" text analysis methods. The emphasis here is on application. The book's chapters provide guidance regarding the sorts of inferences that each method affords, and up-to-date descriptions of the human and technological resources required to apply the methods. Its purpose is as a resource for making quantitative text analysis methods more accessible to social science researchers.

About the Author

Carl W. Roberts