KANOM: Stata module to estimate Krippendorff's alpha for nominal variables
Statistical Software Components from Boston College Department of Economics
kanom computes points estimates and 95 percent confidence intervals for Krippendorff's reliability coefficient alpha, for nominal variables and two measurements. It also tests the null hypotheses that alpha is not larger than 0.67, 0.75 and 0.80, and reports the corresponding p-values. Calculations are based on the "delta method" (an approximation appropriate in large samples), and optionally take into account the main features of a complex sampling design.
Requires: Stata version 12
Keywords: Krippendorff's alpha; measurements; complex sampling (search for similar items in EconPapers)
Note: This module should be installed from within Stata by typing "ssc install kanom". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
References: Add references at CitEc
Citations: Track citations by RSS feed
Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/k/kanom.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/k/kanom.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/k/kanom_exfile.dta sample data file (application/x-stata)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s458277
Ordering information: This software item can be ordered from
Access Statistics for this software item
More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().