HOLSTI: Stata module to compute Holsti intercoder reliability coefficients

Alexander Staudt (), Mona Krewel () and Julia Partheymüller
Additional contact information
Alexander Staudt: N/A
Mona Krewel: Victoria University of Wellington
Julia Partheymüller: Mannheimer Zentrum für Europäische Sozialforschung

Statistical Software Components from Boston College Department of Economics

Abstract: holsti calculates the Holsti intercoder reliability coefficient in order to assess coder reliability when doing media content analyses. The coefficient can be calculated either for one given variable or for different coders. Therefore, concordant and discordant codings between coders are computed. In addition to the reliability coefficient, holsti permits the creation of a variable counting the number of discordant codings for each observation, making it it easier to further analyze cases with many deviant codings.

Language: Stata
Requires: Stata version 13
Keywords: data management; Holsti; intercoder reliability; media content (search for similar items in EconPapers)
Date: 2013-12-11, Revised 2015-01-15
Note: This module should be installed from within Stata by typing "ssc install holsti". 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:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/h/holsti.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/h/holsti.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/h/holstidata.dta sample data file (application/x-stata)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s457749

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

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 ().