Text and Discourse Connectedness


Book Description

The 35 papers in this volume provide a comprehensive picture of crucial aspects of connectedness. The papers are divided into three main groups: the papers in the first group deal with particular questions of the text-constituting role of anaphora, deixis, coreference, modality, conjunctions and particles, theme, topic, ellipsis, etc., the second group of papers discusses the connectedness in texts/discourses of different types (narrative texts, stories, horoscopes, anecdotes, poems, comics, etc.), and, finally, the papers in the third group discuss general theoretical/methodological questions concerning connectedness.




The Curator's Egg


Book Description




An Introduction to Categorical Data Analysis


Book Description

A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: • Illustrations of the use of R software to perform all the analyses in the book • A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis • New sections in many chapters introducing the Bayesian approach for the methods of that chapter • More than 70 analyses of data sets to illustrate application of the methods, and about 200 exercises, many containing other data sets • An appendix showing how to use SAS, Stata, and SPSS, and an appendix with short solutions to most odd-numbered exercises Written in an applied, nontechnical style, this book illustrates the methods using a wide variety of real data, including medical clinical trials, environmental questions, drug use by teenagers, horseshoe crab mating, basketball shooting, correlates of happiness, and much more. An Introduction to Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and biostatisticians as well as methodologists in the social and behavioral sciences, medicine and public health, marketing, education, and the biological and agricultural sciences.




Logistic Regression


Book Description

This is the second edition of this text on logistic regression methods, ori- nally published in 1994. As in the first edition, each chapter contains a presentation of its topic in “lecture-book” format together with objectives, an outline, key formulae, practice exercises, and a test. The “lecture-book” has a sequence of illust- tions and formulae in the left column of each page and a script (i.e., text) in the right column. This format allows you to read the script in conjunction with the illustrations and formulae that highlight the main points, formulae, or examples being presented. This second edition has expanded the first edition by adding five new ch- ters and a new appendix. The five new chapters are Chapter 9. Polytomous Logistic Regression Chapter 10. Ordinal Logistic Regression Chapter 11. Logistic Regression for Correlated Data: GEE Chapter 12. GEE Examples Chapter 13. Other Approaches for Analysis of Correlated Data Chapters 9 and 10 extend logistic regression to response variables that have more than two categories. Chapters 11–13 extend logistic regression to gen- alized estimating equations (GEE) and other methods for analyzing cor- lated response data. The appendix is titled “Computer Programs for Logistic Regression” and p- vides descriptions and examples of computer programs for carrying out the variety of logistic regression procedures described in the main text. The so- ware packages considered are SAS Version 8.0, SPSS Version 10.0, and STATA Version 7.0.




The Coupling Convention : Sex, Text, and Tradition in Black Women's Fiction


Book Description

What does the tradition of marriage mean for people who have historically been deprived of its legal status? Generally thought of as a convention of the white middle class, the marriage plot has received little attention from critics of African-American literature. In this study, Ann duCille uses texts such as Nella Larsen's Quicksand (1928) and Zora Neale Hurston's Their Eyes Were Watching God (1937) to demonstrate that the African-American novel, like its European and Anglo-American counterparts, has developed around the marriage plot--what she calls "the coupling convention." Exploring the relationship between racial ideology and literary and social conventions, duCille uses the coupling convention to trace the historical development of the African-American women's novel. She demonstrates the ways in which black women appropriated this novelistic device as a means of expressing and reclaiming their own identity. More than just a study of the marriage tradition in black women's fiction, however, The Coupling Convention takes up and takes on many different meanings of tradition. It challenges the notion of a single black literary tradition, or of a single black feminist literary canon grounded in specifically black female language and experience, as it explores the ways in which white and black, male and female, mainstream and marginalized "traditions" and canons have influenced and cross-fertilized each other. Much more than a period study, The Coupling Convention spans the period from 1853 to 1948, addressing the vital questions of gender, subjectivity, race, and the canon that inform literary study today. In this original work, duCille offers a new paradigm for reading black women's fiction.




Text Analysis for the Social Sciences


Book 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.







The Publisher


Book Description