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ORIGINAL RESEARCH article

Front. Psychol.
Sec. Organizational Psychology
Volume 15 - 2024 | doi: 10.3389/fpsyg.2024.1405822

Assessing Key Soft Skills in Organizational Contexts: Development and Validation of the Multiple Soft Skill Assessment Tool

Provisionally accepted
  • 1 University of Padua, Padova, Italy
  • 2 Sapienza University of Rome, Rome, Lazio, Italy
  • 3 University of Padua, Padua, Veneto, Italy

The final, formatted version of the article will be published soon.

    Soft skills, also known as transversal skills, have gained significant attention in the organizational context due to their positive impact on various work-related outcomes. The present study aimed to develop and validate the Multiple Soft Skills Assessment Tool (MSSAT), a short self-report instrument that evaluates interpersonal skills (initiative-resourcefulness, assertiveness, conflict management), interpersonal communication skills, decision-making style (adaptive and maladaptive), and moral integrity. The scale development process involved selecting and adapting relevant items from existing scales and employing a cross-validation approach with a large sample of workers from diverse organizational settings and job positions (N = 639). In the first step, 28 items were carefully chosen from an item pool of 64 items based on their content, factor loadings, item response theory analyses, differential item functioning, and fit statistics. Next, the structure of the resulting scale was evaluated through confirmatory factor analyses. The MSSAT demonstrated gender invariance and good reliability and validity. The results of a network analysis confirmed the relationships between soft skills and positive work-related outcomes. Notably, interpersonal communication skills and moral integrity emerged as crucial skills. The MSSAT is a valuable tool for organizations to assess the soft skills of their employees, thereby contributing to design targeted development programs.

    Keywords: Soft skills, performance, Job Satisfaction, burnout, Network analysis, Measurement invariance, item response theory

    Received: 23 Mar 2024; Accepted: 11 Oct 2024.

    Copyright: © 2024 Colledani, Robusto and Anselmi. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Pasquale Anselmi, University of Padua, Padua, 35122, Veneto, Italy

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.