Package: iotarelr 0.1.5
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) <doi:10.30819/5581>.
Authors:
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iotarelr.pdf |iotarelr.html✨
iotarelr/json (API)
NEWS
# Install 'iotarelr' in R: |
install.packages('iotarelr', repos = c('https://fberding.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/fberding/iotarelr/issues
- iotarelr_new_rater - Sample Vector
- iotarelr_written_exams - Example Data Set
Last updated 10 months agofrom:66bfbeee97. Checks:OK: 6 NOTE: 2 ERROR: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 21 2024 |
R-4.5-win-x86_64 | NOTE | Oct 21 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 21 2024 |
R-4.4-win-x86_64 | ERROR | Oct 21 2024 |
R-4.4-mac-x86_64 | OK | Oct 21 2024 |
R-4.4-mac-aarch64 | OK | Oct 21 2024 |
R-4.3-win-x86_64 | OK | Oct 21 2024 |
R-4.3-mac-x86_64 | OK | Oct 21 2024 |
R-4.3-mac-aarch64 | OK | Oct 21 2024 |
Exports:check_conformity_ccheck_dgfcheck_new_ratercompute_iota1compute_iota2EM_algo_cest_con_multinominal_cest_expected_categoriesget_consequencesget_iota2_measuresget_patternsget_summaryplot_iotaplot_iota2_alluvial
Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggalluvialggplot2gluegridExtragtableisobandlabelinglatticelazyevallifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerRcpprlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Get started
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usingknitr::rmarkdown
on Oct 21 2024.Last update: 2023-01-05
Started: 2022-08-02
Estimating Consequences for Subsequent Analyses
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usingknitr::rmarkdown
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Different Guidance Functioning
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usingknitr::rmarkdown
on Oct 21 2024.Last update: 2023-01-05
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Error Correction
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usingknitr::rmarkdown
on Oct 21 2024.Last update: 2023-01-05
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Test New Raters
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usingknitr::rmarkdown
on Oct 21 2024.Last update: 2023-01-05
Started: 2023-01-05
Old 1) How to use Iota1
Rendered fromOld_01_How_to_use_Iota1.Rmd
usingknitr::rmarkdown
on Oct 21 2024.Last update: 2023-01-05
Started: 2023-01-05