MEASURING GLOBAL COMPETENCE: DEVELOPMENT AND VALIDATION OF A MULTIDIMENSIONAL ASSESSMENT MODEL

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Published: 16.08.2026

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Chen Tingyu
Al-Farabi Kazakh National University, Al-Farabi Business School
Asanova Daniya Kasymovna
Al-Farabi Kazakh National University, Al-Farabi Business School

Abstract

With the help of big international datasets, this study creates and tests a multidimensional model for judging global competence. The study looks at information from 400,000 students in 60 countries from the UNESCO GCED (2024), the OECD PISA 2018 and 2022 Global Competence Modules, and the World Bank EdStats (2024). The model uses Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) within a Structural Equation Modeling (SEM) framework to find three interconnected dimensions: cognitive, socio-emotional, and behavioral. The factor loadings for these dimensions range from 0.74 to 0.81. The model had good fit scores (CFI = 0.93, TLI = 0.91, RMSEA = 0.047) and was very reliable (Cronbach's α > 0.85). The findings show that the best way to think about global competence is as a multidimensional concept that includes knowledge, empathy, and action.

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Data Availability Statement

All data supporting the findings of this study are presented in the text of the scientific work.

Issue

No. 305 (2026): 19th ISPC «Scientific Horizon in the Context of Social Crises» (August 16-18, 2026; Tokyo, Japan).

Section

Business economics
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author Biographies

Chen Tingyu, Al-Farabi Kazakh National University, Al-Farabi Business School

DBA student

Asanova Daniya Kasymovna, Al-Farabi Kazakh National University, Al-Farabi Business School

Ph.D., Associate Professor

How to Cite

Chen, T., & Asanova, D. (2026). MEASURING GLOBAL COMPETENCE: DEVELOPMENT AND VALIDATION OF A MULTIDIMENSIONAL ASSESSMENT MODEL. Scientific Collection «InterConf», 305, 6–16. https://interconf.openpubarchive.com/index.php/proceeding/article/view/33

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