A confirmatory factor analysis of the Self-Directed Learning Readiness Scale

Nurs Health Sci. 2013 Dec;15(4):430-6. doi: 10.1111/nhs.12046. Epub 2013 Apr 3.

Abstract

The Self-Directed Learning Readiness Scale measures readiness for self-directed learning among undergraduate healthcare students. While several exploratory factor analyses and one confirmatory factor analysis have examined the psychometric properties of the Self-Directed Learning Readiness Scale, questions have been raised regarding the underlying latent constructs being measured. The objective of this study was to determine the best-fitting Self-Directed Learning Readiness Scale factorial structure among three models published in the literature. Data from the three-factor 40-item Self-Directed Learning Readiness Scale completed by 233 undergraduate paramedic students from four Australian universities (response rate of 26%) were analyzed using maximum likelihood confirmatory factor analysis. Comparison of model fit from the 40-item version was undertaken with the previously documented four-factor 36-item and three-factor 29-item Self-Directed Learning Readiness Scales. The model fit indices of the three one-factor congeneric models with maximum likelihood analysis demonstrate that the 40-item Self-Directed Learning Readiness Scale does not fit the data well. The best fitting model was the four-factor 36-item Self-Directed Learning Readiness Scale followed by the three-factor 29-item models. The confirmatory factor analysis results did not support the overall construct validity of the original 40-item Self-Directed Learning Readiness Scale.

Keywords: confirmatory factor analysis; paramedics; self-directed learning; undergraduate education.

Publication types

  • Validation Study

MeSH terms

  • Adult
  • Australia
  • Education, Professional / methods
  • Emergency Medical Technicians / education
  • Factor Analysis, Statistical*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Problem-Based Learning / methods*
  • Psychometrics / standards*
  • Reproducibility of Results
  • Self-Assessment*
  • Students / psychology*
  • Students / statistics & numerical data
  • Surveys and Questionnaires
  • Universities
  • Young Adult