1 Introduction | 2 Example for using the Iota Concept of the second generation | 2.1 Estimation | 2.2 Analysing the reliability on the categorical level | 2.2.1 Interpretation of the central components | 2.2.2 Coding Stream Analysis | 2.3 Analysing the reliability on the scale level | 3 Further readings
Package: iotarelr 0.1.8
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:
iotarelr_0.1.8.tar.gz
iotarelr_0.1.8.zip(r-4.7)iotarelr_0.1.8.zip(r-4.6)iotarelr_0.1.8.zip(r-4.5)
iotarelr_0.1.8.tgz(r-4.6-x86_64)iotarelr_0.1.8.tgz(r-4.6-arm64)iotarelr_0.1.8.tgz(r-4.5-x86_64)iotarelr_0.1.8.tgz(r-4.5-arm64)
iotarelr_0.1.8.tar.gz(r-4.7-arm64)iotarelr_0.1.8.tar.gz(r-4.7-x86_64)iotarelr_0.1.8.tar.gz(r-4.6-arm64)iotarelr_0.1.8.tar.gz(r-4.6-x86_64)
iotarelr_0.1.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
iotarelr/json (API)
| # 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
Pkgdown/docs site:https://fberding.github.io
Datasets:
- iotarelr_new_rater - Sample Vector
- iotarelr_written_exams - Example Data Set
Last updated from:16acffc110. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 155 | ||
| linux-devel-x86_64 | OK | 165 | ||
| source / vignettes | OK | 364 | ||
| linux-release-arm64 | OK | 171 | ||
| linux-release-x86_64 | OK | 162 | ||
| macos-release-arm64 | OK | 106 | ||
| macos-release-x86_64 | OK | 249 | ||
| macos-oldrel-arm64 | OK | 126 | ||
| macos-oldrel-x86_64 | OK | 271 | ||
| windows-devel | OK | 120 | ||
| windows-release | OK | 128 | ||
| windows-oldrel | OK | 94 | ||
| wasm-release | OK | 163 |
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:clicpp11dplyrfarvergenericsggalluvialggplot2gluegridExtragtableisobandlabelinglazyevallifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerRcpprlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Get started
Last update: 2023-01-05
Started: 2022-08-02
Estimating Consequences for Subsequent Analyses
1 Introduction | 2 Using get_consequences() | 3 Limitations | References
Last update: 2023-01-05
Started: 2023-01-05
Different Guidance Functioning
1 Introduction | 2 Example Analysis | 2.1 Basic Analysis | 2.2 Coding Stream Analysis | 3 Summary
Last update: 2023-01-05
Started: 2023-01-05
Error Correction
1 Introduction | 2 Using the error correction of the Iota Concept | 3 Conclusions | References
Last update: 2023-01-05
Started: 2023-01-05
Test New Raters
1 Introduction | 2 Estimating the quality of ratings for a new rater | 3 Conclusion | References
Last update: 2023-01-05
Started: 2023-01-05
Old 1) How to use Iota1
Important Note | 1 Introduction | 2 Example for using iotarelr in practice | 2.1 Estimating the values | 2.2 The alpha values | 2.3 The beta values | 2.4 The iota values | 2.5 Assignment-Error Matrix (AEM) | 2.6 Scale level | References
Last update: 2023-01-05
Started: 2023-01-05
