Package: CTT 2.3.3
John T. Willse
CTT: Classical Test Theory Functions
A collection of common test and item analyses from a classical test theory (CTT) framework. Analyses can be applied to both dichotomous and polytomous data. Functions provide reliability analyses (alpha), item statistics, disctractor analyses, disattenuated correlations, scoring routines, and empirical ICCs.
Authors:
CTT_2.3.3.tar.gz
CTT_2.3.3.tar.gz(r-4.5-noble)CTT_2.3.3.tar.gz(r-4.4-noble)
CTT_2.3.3.tgz(r-4.4-emscripten)CTT_2.3.3.tgz(r-4.3-emscripten)
CTT.pdf |CTT.html✨
CTT/json (API)
| # Install 'CTT' in R: |
| install.packages('CTT', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:06935012e6. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 09 2024 |
| R-4.5-linux | OK | Sep 09 2024 |
Exports:cttICCdisattenuated.cordistractor.analysisdistractorAnalysisitemAnalysispolyserialreliabilityscorescore.transformspearman.brownsubscales
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Classical Test Theory Functions | CTT-package CTT |
| Example Multiple-Choice Data | CTTdata |
| Function for producing theoretical and empirical item characteristic curves. | cttICC |
| Example Multiple-Choice Key | CTTkey |
| Function for disattentuated correlation | disattenuated.cor |
| Function for item distractor analysis | distractor.analysis |
| Function for item distractor analysis | distractorAnalysis |
| Function for item reliability analysis | itemAnalysis |
| Function for calculating polyserial correlations | polyserial |
| Function for item reliability analysis | reliability |
| Function to score the response files | score |
| Function for transforming scores onto different scales | score.transform |
| Functions for Spearman-Brown "Prophecy" Formula | spearman.brown |
| Function to create subscales based on a design matrix | subscales |