validscale: A command to validate measurement scales
Bastien Perrot
University of Nantes, University of Tours, INSERM
SPHERE U1246 ``methodS in Patient-centered outcomes and HEalth ResEarch''
Nantes, France
bastien.perrot@univ-nantes.fr
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Emmanuelle Bataille
University of Nantes, University of Tours, INSERM
SPHERE U1246 ``methodS in Patient-centered outcomes and HEalth ResEarch''
Nantes, France
emmanuelle.anthoine@chu-nantes.fr
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Jean-Benoit Hardouin
University of Nantes, University of Tours, INSERM
SPHERE U1246 ``methodS in Patient-centered outcomes and HEalth ResEarch''
Nantes, France
jean-benoit.hardouin@univ-nantes.fr
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Abstract. Subjective measurement scales are used to measure nonobservable respondent
characteristics in several fields such as clinical research, educational
sciences, or psychology. To be useful, the scores resulting from the
questionnaire must be validated; that is, they must provide the psychometric
properties validity, reliability, and sensitivity. In this article, we present
the validscale command, which carries out the required statistical
analyses to validate a subjective measurement scale. We have also developed a
dialog box, and validscale will soon be implemented online with Numerics
by Stata.
View all articles by these authors:
Bastien Perrot, Emmanuelle Bataille, Jean-Benoit Hardouin
View all articles with these keywords:
validscale, subjective measurements scales, score, psychometrics, validity, reliability
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