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Introduction to interrater agreement...

Popping, Roel.

Introduction to interrater agreement for nominal data

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Introduction to interrater agreement for nominal databy Roel Popping.
作者:	Popping, Roel.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	xii, 150 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Mathematical statistics.
電子資源:	https://doi.org/10.1007/978-3-030-11671-2
ISBN:	9783030116712$q(electronic bk.)

Introduction to interrater agreement for nominal data
Popping, Roel.

Introduction to interrater agreement for nominal data[electronic resource] /by Roel Popping. - Cham :Springer International Publishing :2019. - xii, 150 p. :ill., digital ;24 cm.

Introduction -- Reliability and Validity -- Interrater Agreement -- Indices -- References -- Index -- Notation.

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.

ISBN: 9783030116712$q(electronic bk.)

Standard No.: 10.1007/978-3-030-11671-2doiSubjects--Topical Terms:

181877
Mathematical statistics.

LC Class. No.: QA276 / .P677 2019

Dewey Class. No.: 519.5

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520 $a 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.
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