Limit this search to....

Text Analysis for the Social Sciences: Methods for Drawing Statistical Inferences from Texts and Transcripts
Contributor(s): Roberts, Carl W. (Editor)
ISBN: 0805817352     ISBN-13: 9780805817355
Publisher: Routledge
OUR PRICE:   $63.35  
Product Type: Paperback - Other Formats
Published: April 1997
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Social Science | Methodology
- Language Arts & Disciplines | Communication Studies
- Language Arts & Disciplines | Journalism
Dewey: 300.1
LCCN: 96040299
Lexile Measure: 1460
Series: Lea's Communication (Paperback)
Physical Information: 326 pages
 
Descriptions, Reviews, Etc.
Publisher Description:

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.