Propiedades psicométricas de la Escala de Ansiedad por el Cambio Climático en una muestra de México

DOI:  https://doi.org/10.12804/revistas.urosario.edu.co/apl/a.16580

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Publicado: nov 11, 2026
Número: Vol. 44 Núm. 2 (2026)
Sección Artículos


Palabras clave: ansiedad por el cambio climático eco-ansiedad norte y centro de México validación estructura factorial

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Autores/as

  Ángel Sánchez-Zavala
University of Sonora, Interdisciplinary Faculty of Social Sciences, Mexico
  Marisela Acosta Hernández
University of Sonora, Interdisciplinary Faculty of Social Sciences, Mexico
  M. Yancy Lucas
University of Sonora, Department of Psychology and Communication Sciences, Mexico
  Martha Frías-Armenta
University of Sonora, Department of Law, Mexico
  Víctor Corral-Verdugo
University of Sonora, Department of Psychology and Communication Sciences, Mexico
  Marcos Rosetti
National Autonomous University of Mexico, Institute of Biomedical Research; National Institute of Psychiatry Ramón de la Fuente Muñiz, Unit of Psychopathology and Development, Mexico
  Nadia S. Corral-Frías
University of Sonora, Department of Psychology and Communication Sciences, Mexico

Resumen

En años recientes, se han reconocido los efectos del cambio climático en la salud mental, entre ellos, la ansiedad asociada a este fenómeno. La Escala de Ansiedad por el Cambio Climático (CCAS, por sus siglas en inglés) evalúa las respuestas cognitivas y conductuales relacionadas con esta preocupación y ha sido utilizada en diferentes poblaciones. Sin embargo, su estructura factorial puede variar según el contexto cultural. Aunque la escala ha sido traducida al español, su estructura factorial no se ha evaluado en México. El presente estudio investigó las propiedades psicométricas de la CCAS en una muestra del noroeste de México mediante un Análisis Factorial Confirmatorio (AFC). Adicionalmente, la validez convergente y divergente fue evaluada utilizando la Varianza Media Explicada (AVE) y su raíz cuadrada (SAVE) en comparación con las estrategias de afrontamiento. La consistencia interna se evaluó con mayor detalle utilizando el alfa de Cronbach, el omega de McDonald y la Correlación Inter-ítem Promedio. Usando datos del presente estudio y de una muestra previamente publicada, se evaluó la consistencia entre muestras usando el índice de congruencia de Tucker. Los modelos uni- y bifactoriales mostraron índices de ajuste aceptables después de excluir tres ítems (2, 7 y 12). Esta versión de 10 ítems exhibió fiabilidad aceptable. La muestra del norte de México mostró congruencia con una muestra del centro de México. Este estudio proporciona evidencia de validez inicial de una versión de 10 ítems de la CCAS en una muestra del noroeste de México.

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