Confidence Interval Approach for the Number of Subjects Required
Source:R/kappasizeci.b.R
kappaSizeCIClass.RdCalculate sample size for interobserver agreement studies using Cohen's kappa statistic. This function provides confidence interval-based sample size determination for studies evaluating agreement between raters across different numbers of outcome categories.
Value
An R6 class generator object for the kappaSizeCIClass backend; used internally by the jamovi analysis wrapper and not called directly.
Details
The function uses the kappaSize package to calculate required sample sizes for kappa coefficient confidence intervals. It supports 2-5 outcome categories and 2-6 raters, with customizable precision requirements and significance levels. Both two-sided and one-sided confidence intervals are supported.
Super classes
jmvcore::Analysis -> kappaSizeCIBase -> kappaSizeCIClass
Methods
Inherited methods
jmvcore::Analysis$.createImage()jmvcore::Analysis$.createImages()jmvcore::Analysis$.createPlotObject()jmvcore::Analysis$.getSessionTemp()jmvcore::Analysis$.load()jmvcore::Analysis$.render()jmvcore::Analysis$.save()jmvcore::Analysis$.savePart()jmvcore::Analysis$.setCheckpoint()jmvcore::Analysis$.setParent()jmvcore::Analysis$.setReadDatasetHeaderSource()jmvcore::Analysis$.setReadDatasetSource()jmvcore::Analysis$.setResourcesPathSource()jmvcore::Analysis$.setStatePathSource()jmvcore::Analysis$addAddon()jmvcore::Analysis$asProtoBuf()jmvcore::Analysis$asSource()jmvcore::Analysis$check()jmvcore::Analysis$init()jmvcore::Analysis$optionsChangedHandler()jmvcore::Analysis$postInit()jmvcore::Analysis$print()jmvcore::Analysis$readDataset()jmvcore::Analysis$run()jmvcore::Analysis$serialize()jmvcore::Analysis$setError()jmvcore::Analysis$setStatus()jmvcore::Analysis$translate()kappaSizeCIBase$initialize()