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Psychometrics of the Brief Scale of Autonomous Learning in University Students

  • J. Cjuno
  • , N. Velasquez
  • , E. Bazan-Palomino
  • , R. Carranza
  • , R. M. Hernández

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Aims The use of WhatsApp can develop autonomous learning, however, there are still no tools that can measure it. This study was performed with the aim to analyze the psychometric properties of the Abbreviated Scale of Autonomous Learning with the use of WhatsApp in Peruvian university students. Materials & Methods In this instrumental study, in a non-probabilistic sample (n=411) of students, An exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and reliability were estimated. Findings The statistics report that the AFE are acceptable and significant KMO (0.816) and Bartlett’s test (1431.09; gl=6; p=0.0001). Robust analyses (χ2=24.180; p=0.0001; TLI=0.955; CFI=0.998; GFI=0.998; AGFI=0.994, and RMSR=0.043), show that the unidimensional structure acceptable and reported an internal consistency of 0.932. Conclusion The EBAA-4 is valid and reliable. Therefore, its use is recommended for university students.

    Original languageEnglish
    Pages (from-to)529-533
    Number of pages5
    JournalHealth Education and Health Promotion
    Volume9
    Issue number5 Special Issue
    StatePublished - 1 Jan 2021

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

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