Examining the psychometric properties of a Malaysian relevance of science education (MROSE) questionnaire using partial least squares structural equation modeling (PLS-SEM)

This research is aimed to validate an instrument, the Malaysian version of ROSE or MROSE to gauge Malaysian secondary students' interests, attitudes, values, and priorities in S&T-related issues. Partial Least Squares-Structural Equation Modeling approach was used to evaluate the validity and reliability of the instrument. The internal consistency reliability (composite reliability and Cronbach's Alpha coefficient), convergent validity (Average Variance Extracted), and discriminant validity (cross loadings, Fornell-Larcker criterion, and Heterotrait-Monotrait ratio) for each individual item of the instrument were being assessed.