ChatModern workforces demand complex, multi-dimensional problem-solving skills that traditional standardized tests fail to quantify; structural equation modeling validates the eComplexity instrument to measure real-world complex thinking competencies.
The Fourth Industrial Revolution and the rise of automation require professionals who possess 'complex thinking'—the integrative ability to synthesize critical, creative, scientific, and systemic reasoning to solve messy real-world challenges.
Higher education institutions lacked reliable, psychometrically validated instruments to assess whether university curricula actually cultivate complex thinking competencies in undergraduate students.
This psychometric investigation in Frontiers in Education validates the eComplexity instrument across university student cohorts using structural equation modeling (SEM) and confirmatory factor analysis. The findings confirm high construct validity and internal reliability across four distinct sub-competency dimensions.
Validating the eComplexity tool equips educational leaders with an empirical diagnostic instrument to evaluate curricular reforms and ensure university graduates are equipped to navigate global complexity.
eComplexity: validation of a complex thinking instrument from a structural equation model
The eComplexity instrument aims to measure the perception of achievement in the complex thinking competency and its sub-competencies. To ensure the reliability of this instrument, validation processes like the one presented in this article are necessary. Methodologically, this study evaluates data from 1,037 university students in Mexico, confirming the statistical validity and reliability of the instrument. As a result, the demonstrated reliability of the eComplexity instrument as a tool for measuring perceived achievements in complex thinking provides a valuable resource for assessing the effectiveness of educational interventions. Consequently, this research contributes to a more informed approach to fostering critical thinking skills, benefiting both theoretical exploration and practical application in educational settings. The study employs the Partial Least Squares Structural Equation Modeling (PLS-SEM) to evaluate students’ self-perceptions of their performance in complex thinking and its sub-competencies, thus advancing the field of educational measurement. Academically, it enriches the discourse on the design and validation of instruments, offering a rigorous model for future efforts in measuring cognitive competencies. Practically, the study’s results inform educational practice by identifying systemic and scientific thinking as key to developing complex thinking skills. This knowledge enables educators to more effectively adapt teaching strategies and curricular designs, aiming to enhance students’ ability to navigate the complexities of the modern world.
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