Article 2024

A profile of core workplace skills in developing countries: utilizing PIAAC datasets

Higher Education, Skills and Work-based Learning
Journal · Vol. 14 · Issue 2 · pp. 492-509
Abstract

Purpose: Utilizing datasets of Ecuador, Hungary, Kazakhstan, Mexico and Peru from the Programme for the International Assessment of Adult Competencies survey from 2017 to 2018, this study aimed to develop and validate a profile indicating core workplace skills in developing countries. Design/methodology/approach: DeVellis' guide of scale development navigated the development of the profile. Multiple techniques including item analysis, exploratory factor analysis, confirmatory factor analysis and multigroup confirmatory factor analysis were used on a sample of 7,166 participants to validate the profile of core workplace skills in developing countries. Findings: A resultant five-dimensional profile with 18 items was developed: oral communication skills, reading skills, math skills, information and communication technology skills and learning skills. The estimates of composite reliability showed the profile was reliable. The validity estimates of the profile were obtained from several sources including content, convergent, discriminative and construct validity. The measurement invariance was also held for the profile. Originality/value: Based on the researcher's knowledge, the study is the first attempt to develop a profile to indicate core workplace skills in developing countries. The profile theoretically framed the core workplace skills in developing countries and provides a new measure for identifying, evaluating and thus improving core workplace skills in developing countries for different stakeholders in the era of Education 4.0. © 2023, Emerald Publishing Limited.

Keywords

Author Keywords

developing countries Core workplace skills PIAAC dataset Profile development

Index Keywords

Author Affiliations
University of Illinois Urbana-Champaign, Urbana, IL, United States
Funding & Acknowledgements
No funding information
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