iotarelr: Iota Inter Coder Reliability for Content Analysis

Routines and tools for assessing the quality of content analysis on the basis of the Iota Reliability Concept. The concept is inspired by item response theory and can be applied to any kind of content analysis which uses a standardized coding scheme and discrete categories. It is also applicable for content analysis conducted by artificial intelligence. The package provides reliability measures for a complete scale as well as for every single category. Analysis of subgroup-invariance and error corrections are implemented. This information can support the development process of a coding scheme and allows a detailed inspection of the quality of the generated data. Equations and formulas working in this package are part of Berding et al. (2022)<doi:10.3389/feduc.2022.818365> and Berding and Pargmann (2022,ISBN:978-3-8325-5581-8).

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: ggplot2, gridExtra, methods, Rcpp, rlang, stats
LinkingTo: Rcpp
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2022-11-09
Author: Berding Florian ORCID iD [aut, cre], Pargmann Julia [ctb]
Maintainer: Berding Florian <florian.berding at>
License: GPL-3
NeedsCompilation: yes
Citation: iotarelr citation info
Materials: README
CRAN checks: iotarelr results


Reference manual: iotarelr.pdf
Vignettes: Estimating_Consequences_for_Subsequent_Analysis


Package source: iotarelr_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): iotarelr_0.1.2.tgz, r-oldrel (arm64): iotarelr_0.1.2.tgz, r-release (x86_64): iotarelr_0.1.2.tgz, r-oldrel (x86_64): iotarelr_0.1.2.tgz


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