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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) <doi:10.30819/5581>.
Version: | 0.1.5 |
Depends: | R (≥ 3.5.0) |
Imports: | ggplot2, ggalluvial, gridExtra, methods, Rcpp, rlang, stats |
LinkingTo: | Rcpp |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2024-01-25 |
DOI: | 10.32614/CRAN.package.iotarelr |
Author: | Berding Florian |
Maintainer: | Berding Florian <florian.berding at uni-hamburg.de> |
BugReports: | https://github.com/FBerding/iotarelr/issues |
License: | GPL-3 |
URL: | https://fberding.github.io/iotarelr/ |
NeedsCompilation: | yes |
Citation: | iotarelr citation info |
Materials: | README NEWS |
CRAN checks: | iotarelr results |
Reference manual: | iotarelr.pdf |
Vignettes: |
Old_01_How_to_use_Iota1 02_estimating_cons 03_dgf 04_error_correction 05_new_rater 01_get_started |
Package source: | iotarelr_0.1.5.tar.gz |
Windows binaries: | r-devel: iotarelr_0.1.5.zip, r-release: iotarelr_0.1.5.zip, r-oldrel: iotarelr_0.1.5.zip |
macOS binaries: | r-release (arm64): iotarelr_0.1.5.tgz, r-oldrel (arm64): iotarelr_0.1.5.tgz, r-release (x86_64): iotarelr_0.1.5.tgz, r-oldrel (x86_64): iotarelr_0.1.5.tgz |
Old sources: | iotarelr archive |
Reverse imports: | aifeducation |
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These binaries (installable software) and packages are in development.
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