The psychological states of patients with diabetes mellitus were compared with those of patients suffering from other chronic diseases and people with no diagnosed chronic diseases. These states were assessed by applying content analysis scales to transcripts of their descriptions of their current experiences. Analyses of the diabetics' scale scores re vealed a pattern characterized by much anxiety, depression, anger expressed both direct ly and indirectly, together with feelings of helplessness. The sources of anxiety which proved to be of most importance to them were fears of death and bodily mutilation, as weIl as guilt and shame. They experienced little sense of sharing with most people around them, although they showed considerable enjoyment of dose relationships with family and friends. This pattern of psychological states did not vary with the sex of the patients or whether they were interviewed in a hospital or at horne nor with recency of onset or multiplicity of health problems. It was similar to the pattern of patients with other chronic diseases but differed significantly from that of the healthy group. Acknowledgment The authors wish to acknowledge the contribution ofCarol Preston to the collection and analysis of these data which were made available, inpart, by patients of the Wollongong Hospital and members of the Illawarra Branch of the Diabetic Association of N ew South Wales. References 1. Strong JA, Baird JD (1971) Diseases ofthe endocrine system. In: Davidson S, McLeod J (eds) The principles and practice of medicine.

This title is part of UC Press's Voices Revived program, which commemorates University of California Press’s mission to seek out and cultivate the brightest minds and give them voice, reach, and impact. Drawing on a backlist dating to 1893, Voices Revived makes high-quality, peer-reviewed scholarship accessible once again using print-on-demand technology. This title was originally published in 1969.

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.

What matters in people’s social lives? What motivates and inspires our society? How do we enact what we know? Since the first edition published in 1980, Content Analysis has helped shape and define the field. In the highly anticipated Fourth Edition, award-winning scholar and author Klaus Krippendorff introduces you to the most current method of analyzing the textual fabric of contemporary society. Students and scholars will learn to treat data not as physical events but as communications that are created and disseminated to be seen, read, interpreted, enacted, and reflected upon according to the meanings they have for their recipients. Interpreting communications as texts in the contexts of their social uses distinguishes content analysis from other empirical methods of inquiry. Organized into three parts, Content Analysis first examines the conceptual aspects of content analysis, then discusses components such as unitizing and sampling, and concludes by showing readers how to trace the analytical paths and apply evaluative techniques. The Fourth Edition has been completely revised to offer you the most current techniques and research on content analysis, including new information on reliability and social media. You will also gain practical advice and experience for teaching academic and commercial researchers how to conduct content analysis.

Content analysis is a complex research methodology. This book provides an accessible text for upper level undergraduates and graduate students, comprising step-by-step instructions and practical advice.

In recent years, computer content analysis has undergone something of a renaissance. Inexpensive and powerful desktop computers mean that computer analysis of texts is available to most researchers. The availability of software to do analyses, however, is not always linked to clear theoretical and methodological understandings. This volume seeks to deal with this concern by providing, from scholars in a variety of disciplines, perspectives upon the theoretical and methodological issues which arise when conducting content analysis via computer. Although it is not always obvious, computer content analysis is a method which inevitably calls for theoretical assumptions. Those theoretical assumptions in turn drive methodological considerations, and method in turn determines the form of the practice of computer content analysis. This volume includes ten articles by well-known scholars utilizing computer content analysis. A variety of methodological, theoretical, and practical issues are here addressed, presenting unique methods and perspectives for the consideration of computer content analysis. Intended for an audience of graduate students, scholars, and in-field practitioners, Theory, Method and Practice of Computer Content Analysis will serve as an invaluable resource of ideas and practices for those interested in using computers to analyze textual material.

This second edition has been completely updated to include new studies, new computer applications and an additional chapter on problems and issues that can arise when carrying out content analysis in four major categories: measurement, indication, representation and interpretation.