ROSALI: Stata module to detect of response shift at item-level between two times of measurement

Myriam Blanchin () and Priscilla Brisson
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Myriam Blanchin: University of Nantes
Priscilla Brisson: University of Nantes

Statistical Software Components from Boston College Department of Economics

Abstract: rosali performs the Response Shift ALgorithm at Item-level (ROSALI) based on partial credit models between two times of measurement, time 1 and time 2. Only uniform or non-uniform recalibration can be detected. Response shift detection is performed at item-level assuming all individuals of the sample are affected the same way by default. A dichotomous group variable can be specified with the group option to assess its impact on latent variable, item functioning and response shift. Differential Item Functioning (DIF) refers to a constant difference of item difficulties between groups over time.

Language: Stata
Requires: Stata version 15
Keywords: measurement; latent variable; item level (search for similar items in EconPapers)
Date: 2020-06-09
Note: This module should be installed from within Stata by typing "ssc install rosali". 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.
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http://fmwww.bc.edu/repec/bocode/r/rosali.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/r/rosali.sthlp help file (text/plain)

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