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:Berding Florian [aut, cre], Pargmann Julia [ctb]

iotarelr_0.1.8.tar.gz
iotarelr_0.1.8.zip(r-4.7-x86_64)iotarelr_0.1.8.zip(r-4.7-arm64)iotarelr_0.1.8.zip(r-4.6-x86_64)iotarelr_0.1.8.zip(r-4.6-arm64)iotarelr_0.1.8.zip(r-4.5-x86_64)
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

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

5.88 score 2 stars 1 packages 42 scripts 365 downloads 14 exports 33 dependencies

Last updated from:16acffc110. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK155
linux-devel-x86_64OK162
source / vignettesOK318
linux-release-arm64OK143
linux-release-x86_64OK160
macos-release-arm64OK161
macos-release-x86_64OK253
macos-oldrel-arm64OK215
macos-oldrel-x86_64OK240
windows-devel-arm64OK348
windows-devel-x86_64OK153
windows-release-arm64OK336
windows-release-x86_64OK154
windows-oldrel-x86_64OK110
wasm-releaseOK125

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
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
Rendered fromiotarelr.Rmdusingknitr::rmarkdown

Last update: 2023-01-05
Started: 2022-08-02

Estimating Consequences for Subsequent Analyses
1 Introduction | 2 Using get_consequences() | 3 Limitations | References
Rendered fromV_02_Estimating_Consequences_for_Subsequent_Analyses.Rmdusingknitr::rmarkdown

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
Rendered fromV_03_Different_Guidance_Functioning.Rmdusingknitr::rmarkdown

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
Rendered fromV_04_Error_Correction.Rmdusingknitr::rmarkdown

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
Rendered fromV_05_Test_New_Raters.Rmdusingknitr::rmarkdown

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
Rendered fromOld_01_How_to_use_Iota1.Rmdusingknitr::rmarkdown

Last update: 2023-01-05
Started: 2023-01-05