Abstract
This study demonstrates that NVivo, a popular research tool for content analysis, produces biased Cohen’s kappa as it calculates the reliability statistic at the character level, which is unsuitable for most content-analytic studies adopting a higher unit of analysis (e.g., sentence, paragraph). Based on empirical data and a statistical simulation, this study proposes a method of bias correction applicable to situations where two independent raters conduct binary coding.
Original language | English (US) |
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Pages (from-to) | 217-232 |
Number of pages | 16 |
Journal | Communication Methods and Measures |
Volume | 10 |
Issue number | 4 |
DOIs | |
State | Published - Oct 1 2016 |
Externally published | Yes |
Bibliographical note
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