Estimating intercoder reliability: a structural equation modeling approach

Estimating intercoder reliability: a structural equation modeling approach Intercoder reliability is usually estimated with a summary index, and yet the limitations concerning the indexing approach have been well noted. This study critically reviewed all the existing major modeling approaches to estimating intercoder reliability, and empirically tested and further compared these approaches. It was found that latent variable modeling, also called the second-generation SEM, generally perform better than log-linear modeling, and is able to explain the paradox haunting some indices, and to spot the sources of disagreement among coders. Implications were discussed at last. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Estimating intercoder reliability: a structural equation modeling approach

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Publisher
Springer Netherlands
Copyright
Copyright © 2014 by Springer Science+Business Media Dordrecht
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-014-0034-7
Publisher site
See Article on Publisher Site

Abstract

Intercoder reliability is usually estimated with a summary index, and yet the limitations concerning the indexing approach have been well noted. This study critically reviewed all the existing major modeling approaches to estimating intercoder reliability, and empirically tested and further compared these approaches. It was found that latent variable modeling, also called the second-generation SEM, generally perform better than log-linear modeling, and is able to explain the paradox haunting some indices, and to spot the sources of disagreement among coders. Implications were discussed at last.

Journal

Quality & QuantitySpringer Journals

Published: May 20, 2014

References

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