No. 41 (2026): enero-junio
Research articles

Psychometric analysis of a scale to measure university dropout intention: A pilot study

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Aaron-Javier Euan-Catzin
https://orcid.org/0000-0001-6119-0352 Universidad Autónoma de Yucatán
Pedro-José Canto-Herrera Universidad Autónoma de Yucatán

Published 2025-11-20

How to Cite

Euan-Catzin, A.-J., & Canto-Herrera, P.-J. (2025). Psychometric analysis of a scale to measure university dropout intention: A pilot study. Revista Panamericana De Pedagogía, 41. https://doi.org/10.21555/rpp.3588

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Abstract

This study, conducted in Yucatán, Mexico, aims to translate and analyze some psychometric properties of the Scale for Measuring Dropout Intention developed by Bäulke et al. (2022) in Yucatán, México. An instrumental, cross-sectional and correlational pilot study was conducted with 71 students from various programs at universities in the state of Yucatán. The instrument was translated into Spanish with the assistance of an expert, and preliminary convergent validity were assessed. Reliability was estimated using Cronbach’s alpha and McDonald’s omega. The results show positive and statistically significant correlation with the five dimensions of the instrument: perception of no fitting (r = .394; p < .05), thoughts about dropping out (r = .313; p < .05), analysis (r = .320; p < .05), information seeking and final decision, as well as with the total score of the scale (r = .394; p < .05). Negative and statistically significant correlations were observed with motivation and academic self-efficacy. The instrument demonstrated adequate internal consistency across all its dimensions (α = .843 – .997; ω = .849 – .996) and in for the overall scale (α = .973; ω = .978). These results provide valuable insights for guiding the measurement of the phenomenon within this context and highlight the relevance of conducting future research with large and more diverse samples.

Keywords

  • Dropping out,
  • Higher education,
  • Measurement,
  • Reliability,
  • Validity
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