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validscale: A command to validate measurement scales

Author

Listed:
  • Bastien Perrot

    (University of Nantes)

  • Emmanuelle Bataille

    (University of Nantes)

  • Jean-Benoit Hardouin

    (University of Nantes)

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 mea- surement scale. We have also developed a dialog box, and validscale will soon be implemented online with Numerics by Stata.

Suggested Citation

  • Bastien Perrot & Emmanuelle Bataille & Jean-Benoit Hardouin, 2018. "validscale: A command to validate measurement scales," Stata Journal, StataCorp LP, vol. 18(1), pages 29-50, March.
    • Handle: RePEc:tsj:stataj:v:18:y:2018:i:1:p:29-50
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    Cited by:

    1. Yoo, Nari & Jang, Sou Hyun, 2024. "Does social empathy moderate fear-induced minority blaming during the COVID-19 pandemic?," Social Science & Medicine, Elsevier, vol. 346(C).
    2. Wei Chen & Rongfen Gao & Tao Yang, 2021. "Factor Structure and Psychometric Properties for the PTSD Checklist of Chinese Adolescents in the Closed Period after the COVID-19 Outbreak," IJERPH, MDPI, vol. 18(22), pages 1-12, November.
    3. André Hajek & Tadanori Imai & Larissa Zwar & Hans-Helmut König, 2024. "Translation and Validation of the German Version of the Ikigai-9," Societies, MDPI, vol. 14(3), pages 1-10, March.
    4. Mariana Santis & Marcelo Florensa & María Cecilia Gáname & Pedro Esteban Moncarz, 2021. "Job Satisfaction of Recent University Graduates in Economics Sciences: The Role of the Match Between Formal Education and Job Requirements," Journal of Happiness Studies, Springer, vol. 22(7), pages 3157-3197, October.
    5. Viktora-Jones, Magdalena & Parente, Ronaldo & Drori, Netanel & Zhao, Yue, 2024. "Firm performance drivers within a dynamic emerging market ecosystem," Journal of International Management, Elsevier, vol. 30(1).

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