Quantitative Narrative Analysis

Description:
'Quantitative Narrative Analysis' focuses on the following issues: the fundamental features of narrative (as a specific type of text genre with certain invariant linguistic properties); how the invariant properties of narrative can be used to structure narrative information in ways that basic qualitative information can then be analyzed quantitatively (story grammars, or Subject-Action-Object and respective modifiers, such as Time and Space of Action); reliability (and how the computer and linguistic framework of the approach greatly increase data reliability); and, data analysis (the book does not focus on general problems of data analysis, it will show how textual data can be analyzed with numbers).

Table of Contents:
About the Author Series Editor's Introduction Preface 1. Orientation 2. Text Genres, Narrative, and Story Grammars 3. Computer Storage and Retrieval of Narrative Information 4. Things to Do With Words 5. Coda References Author Index Subject Index

Author Biography:
Roberto Franzosi is Professor of Sociology at the University of Reading, UK. He earned his PhD in Sociology from Johns Hopkins University and immediately began teaching at the University of Wisconsin-Madison's Department of Sociology and Industrial Relations Research Institute. Courses he has taught over the years include Regression Analysis, Exploratory Factor Analysis, Content Analysis, Time Series Analysis, Probability Theory, Research Methods, Narrative Analysis, Industrial Sociology, and Political Sociology. He has published numerous journal articles and book chapters in the area of quantitative narrative analysis.