| Dewey Class |
519.5 |
| Title |
Introduction to Interrater Agreement for Nominal Data ([EBook] /) / by Roel Popping. |
| Author |
Popping, Roel |
| Other name(s) |
SpringerLink (Online service) |
| Edition statement |
1st ed. 2019. |
| Publication |
Cham : : Springer International Publishing : : Imprint: Springer, , 2019. |
| Physical Details |
XII, 150 p. : online resource. |
| ISBN |
9783030116712 |
| Summary Note |
This introductory book enables researchers and students of all backgrounds to compute interrater agreements for nominal data. It presents an overview of available indices, requirements, and steps to be taken in a research project with regard to reliability, preceded by agreement. The book explains the importance of computing the interrater agreement and how to calculate the corresponding indices. Furthermore, it discusses current views on chance expected agreement and problems related to different research situations, so as to help the reader consider what must be taken into account in order to achieve a proper use of the indices. The book offers a practical guide for researchers, Ph.D. and master students, including those without any previous training in statistics (such as in sociology, psychology or medicine), as well as policymakers who have to make decisions based on research outcomes in which these types of indices are used.: |
| Contents note |
Introduction -- Reliability and Validity -- Interrater Agreement -- Indices -- References -- Index -- Notation. |
| System details note |
Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users). |
| Internet Site |
https://doi.org/10.1007/978-3-030-11671-2 |
| Links to Related Works |
Subject References:
- Linguistics—Methodology .
- Research -- Methodology .
- Research Methods in Language and Linguistics .
- Sociology—Research .
- Statistics .
- Statistics for Business, Management, Economics, Finance, Insurance .
- Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences .
- Statistics for Life Sciences, Medicine, Health Sciences .
- Statistics for Social Sciences, Humanities, Law .
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