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The Reliability of Generating Data
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Librairie Eyrolles - Paris 5e
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The Reliability of Generating Data

The Reliability of Generating Data

Klaus Krippendorff

316 pages, parution le 22/12/2022

Résumé

This book expands on the author's seminal work in content analysis and develops methods for assessing the reliability of the kind of data that previously defied evaluations for this purpose.

Features:

  • Provides an overview of methods for assessing the reliability of generating data
  • Expands a statistic proposed by the author, already widely used in the social sciences
  • Includes many easy to follow numerical examples to illustrate the measures
  • Written to be useful to beginning and advanced researchers from many disciplines, notably linguistics, sociology, psychometric and educational research, and medical science.
How I became interested in reliability issues. 1. On the epistemology of reliable data. 2. Simplest kinds: The replicability of categorizing predefined units. 3. Some properties of the Alpha. 4. Alpha compared with primarily nominal agreement measures. 5. Metric differences between single-valued units.6. The quadrilogy for single-valued predefined units and big data. 7. Multi-valued coding of predefined units.8. Partitioning continua and coding relevant segments. 9. Preserving the coherency of identified segments in continua. 10. Distinctions drawn within continua. 11. Text mining and information retrieval. 12. Diagnostic devices and remedial actions. 13. Some special applications. 14. Statistical considerations. 15. Reliability standards. 16. Toward a general calculus of differences and agreements. Appendix. References

Klaus Krippendorff , PhD., PhD.hc, graduate from the Ulm School of Design and the University of Illinois, Urbana, was the Gregory Bateson Professor Emeritus for Cybernetics, Language, and Culture at the Annenberg School for Communication, University of Pennsylvania. He wrote his dissertation on content analysis at a time when this method was quite underdeveloped. Content Analysis, An Introduction to its Methodology became a leading text now in its 4th Edition. The book earned the International Communication Association (ICA)'s 2004 recognition as the most influential work. The issue of reliability followed him into numerous empirical ventures. It taught him that data cannot be taken as the starting point of scientific research without knowing how they came about, what they mean, and for whom besides their analyst. In 2012, the Methodology Division of the Association for Education in Journalism and Mass Communication (AEJMC) recognized his "Agreement and Information in the Reliability of Coding" as their "Article of the Year." He wrote over a hundred frequently cited publications, not only on reliability but also On Communicating, Otherness, Meaning, and Information . In the area of design, he advocated a human interactive approach to understanding technological artifacts as well as of the design discourse that guide them: The Semantic Turn, A new Foundation for Design . In the area of Cybernetics, he received several awards for his contributions in the form of books and articles in academic journals. He wrote and taught seminars on the discursive construction of realities, not just of the social world but also of what natural scientists say they describe. He co-edited Discourses in Action; What Language Enables Us to Do . He critically explored how such constructions impact everyday life, for example, the algorithms we live with. His focus was on the possibilities of emancipation from oppression due to widely shared but burdensome realities, mistaken as unalterable facts. This frames the first chapter of the book, starting with answering the question "When are Data?" Klaus Kripendorff passed away in October 2022.

Caractéristiques techniques

  PAPIER
Éditeur(s) Taylor&francis
Auteur(s) Klaus Krippendorff
Parution 22/12/2022
Nb. de pages 316
EAN13 9780367630713

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