EVALUATING FOUR FACTORS OF STUDENTS’ CAREER ADAPTABILITIES (CAA) USING PLS-SEM APPROACH

摘要

This article discusses the four factors affecting students' career adaptability abilities (CAA). These four factors are professional awareness, implementation ability, curiosity attitude, and confidence level in the academic setting. This study engaged a survey of Career Adapt Abilities among 345 Pre-service Physics Students of Teacher Education. The study utilized Smart-PLS version 4 to apply the PL-SEM method. PLS-SEM (Partial Least Squares Structural Equation Modelling) analyses relationships between latent variables. It is particularly useful when the number of variables is large, and there is a limited sample size. PLS-SEM provides a combination of the strengths of both structural equation modelling (SEM) and partial least squares regression (PLS), making it suitable for investigating complex causal relationships in data with a high degree of collinearity and limited sample size. Additionally, PLS-SEM allows for examining direct and indirect effects among latent variables and can handle multiple dependent variables. These features make PLS-SEM suitable for this study. Results confirmed the positive and significant impact of four factors on the career adaptability of students: professional awareness (PA), implementation ability (IA), curiosity attitude (CA), and confidence level (CL). Based on these findings, recommendations are proposed to improve the student's career adaptability.