Adaptation and psychometric characteristics of a scale to evaluate ageist stereotypes

Javiera Rosell*, Alvaro Vergés, David Torres Irribarra, Karina Flores, Macarena Gómez

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


Objectives: Negative ageism impacts on the well-being of older persons; therefore, its identification is important to generate interventions that allow its decrease. CENVE is a widely used instrument to evaluate stereotypes towards old age in Spanish. However, its factor structure in older population and its invariance between those over and under 60 years old have not been confirmed. The objectives of the study are to evaluate the psychometric properties of the instrument and its invariance by age and gender. Methods: The total sample was 439 people with 54 % of people over 60. This was divided into two random subsamples. With the first subsample, a confirmatory factor analysis of the different models proposed was carried out until an adequate fit was achieved, which was confirmed with the second subsample. Then, the invariance of the instrument was evaluated with the total sample by age and gender. Results: The revised CENVE consists of 15 items with a unifactorial structure that showed good psychometric properties. It presented good reliability, including a .92 Omega. In addition, it proved to be an invariant instrument according to age and gender, which allows comparison between groups. Discussion and Implications: The use of CENVE will allow the identification of ageist stereotypes, with which interventions can be carried out to reduce them, both in groups older and younger than 60. In addition, it can be useful to generate a discussion about ageism in different fields, such as professional training.

Original languageEnglish
Article number104179
JournalArchives of Gerontology and Geriatrics
StatePublished - 1 Sep 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 Elsevier B.V.


  • Age bias
  • Ageism
  • Measurement invariance
  • Psychometric properties


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