Adaptación, validación e invarianza factorial de una escala para evaluar la calidad de los cursos virtuales desarrollados para estudiantes peruanos de ciencias de la salud durante la pandemia por la COVID-19

Abstract

Objective

To adapt, validate and evaluate the factorial invariance of a scale that assess the quality of virtual courses (QVC) among health sciences students (HSS).

Methods

Cross-sectional study developed with virtual surveys to HSS to assess the QVC of the 2020 academic year, as well as sociodemographic and educational characteristics. Content-based validity was estimated with V_Aiken. Validity based on internal structure was assessed with the Goodness of Fit Indices (GFI) in the Confirmatory Factor Analysis (CFA), considering adequate the comparative fit index (CFI) and the Tucker-Lewis index (TLI) greater than 0.90, as well as values of the standardized root mean square residual (SRMR) and root mean square error of approximation (RMSEA) less than 0.08. Factor invariance was considered adequate when the ΔCFI ≤ 0.010 and the ΔRMSEA ≤ 0.015 between models at different levels. Reliability was assessed with the alpha and omega index.

Results

Of the 629 HSS included, 62.96% were women, 49.76% studied human medicine and 316 other health areas. The V_Aiken was 0.86 on the instrument. The CFA showed adequate GFI (CFI = 0.956, TLI = 0.950, RMSEA = 0.073 and SRMR = 0.044). The ΔCFI (≤ 0.002) and ΔRMSEA (≤ 0.004) between models were estimated for the characteristics evaluated (sex, place of residence, study career, stage of training and type of university management). Reliability indices were greater than 0.85 in the domains.

Conclusion

The 30-item scale and six domains to assess QVC developed for HSS in Peru showed adequate evidence of validity and reliability. In addition, it showed adequate factorial invariance in different sociodemographic and educational contexts of HSS.