# Underlying determinants driving agreement among coders

Underlying determinants driving agreement among coders There are plenty of intercoder reliability indices, whereas the choice of them has been debated. With a Monte Carlo simulation, the determinants of the agreement indices were empirically tested. The chance agreement of Bennett’s S is found to be only affected by the number of categories. Consequently, S is a category based index. The chance agreements of Krippendorff’s $$\alpha$$ , Scott’s $$\pi$$ and Cohen’s $$\kappa$$ are affected by the marginal distribution, the level of difficulty and the interaction between them, and yet the difficulty level influences their chance agreements abnormally. The three indices are hence in general distribution based indices. Gwet’s $$AC_1$$ reversed the direction of the three aforementioned indices, but its chance agreement is additionally affected by the number of categories and the interaction between the number of categories and the marginal distribution. $$AC_1$$ can be classified into a class based on the number of categories, the marginal distribution and the level of difficulty. Both theoretical and practical implications were also discussed in the end. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

# Underlying determinants driving agreement among coders

, Volume 47 (5) – Dec 17, 2012
15 pages

/lp/springer_journal/underlying-determinants-driving-agreement-among-coders-j4b0OgeUka
Publisher
Springer Netherlands
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-012-9807-z
Publisher site
See Article on Publisher Site

### Abstract

There are plenty of intercoder reliability indices, whereas the choice of them has been debated. With a Monte Carlo simulation, the determinants of the agreement indices were empirically tested. The chance agreement of Bennett’s S is found to be only affected by the number of categories. Consequently, S is a category based index. The chance agreements of Krippendorff’s $$\alpha$$ , Scott’s $$\pi$$ and Cohen’s $$\kappa$$ are affected by the marginal distribution, the level of difficulty and the interaction between them, and yet the difficulty level influences their chance agreements abnormally. The three indices are hence in general distribution based indices. Gwet’s $$AC_1$$ reversed the direction of the three aforementioned indices, but its chance agreement is additionally affected by the number of categories and the interaction between the number of categories and the marginal distribution. $$AC_1$$ can be classified into a class based on the number of categories, the marginal distribution and the level of difficulty. Both theoretical and practical implications were also discussed in the end.

### Journal

Quality & QuantitySpringer Journals

Published: Dec 17, 2012

## You’re reading a free preview. Subscribe to read the entire article.

### DeepDyve is your personal research library

It’s your single place to instantly
that matters to you.

over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month ### Explore the DeepDyve Library ### Unlimited reading Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere. ### Stay up to date Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates. ### Organize your research It’s easy to organize your research with our built-in tools. ### Your journals are on DeepDyve Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more. All the latest content is available, no embargo periods. ### DeepDyve Freelancer ### DeepDyve Pro Price FREE$49/month

\$360/year
Save searches from