Noawanit Songkram, Nalinee Nakorn, Sungworn Ngudgratoke

Proceedings of the 16th International Conference on Society and Information Technologies: ICSIT 2025, pp. 70-74 (2025); https://doi.org/10.54808/ICSIT2025.01.70

Noawanit Songkram
Program in Educational Measurement and Evaluation, School of Educational Studies, Sukhothai Thammathirat Open University, Bangkok, Thailand

Nalinee Nakorn
Department of Educational Measurement and Evaluation, School of Educational Studies, Sukhothai Thammathirat Open University, Bangkok, Thailand

Sungworn Ngudgratoke
Department of Educational Measurement and Evaluation, School of Educational Studies, Sukhothai Thammathirat Open University, Bangkok, Thailand

Cite this paper as:
Songkram, N., Nakorn, N., Ngudgratoke, S. (2025). Innovativeness Scales: Validity and Reliability of Measuring Innovation Competency. In N. Callaos, J. Horne, B. Sánchez (Eds.), Proceedings of the 16th International Conference on Society and Information Technologies: ICSIT 2025, pp. 70-74. International Institute of Informatics and Cybernetics. https://doi.org/10.54808/ICSIT2025.01.70

This study aimed to develop and validate innovation competency indicators for undergraduate students by adapting the FINCODA (Framework for Innovation Competencies and Assessment) model. The research utilized the Innovation Barometer Assessment Tool, a psychometric instrument that evaluates individual innovation capabilities across five dimensions: Creativity, Critical Thinking, Initiative, Teamwork, and Networking. The methodology integrated a systematic synthesis of indicator components from international studies that previously implemented the FINCODA Framework. This quantitative investigation collected data from 265 senior undergraduate students across Thai public universities, with voluntary participation and anonymity maintained throughout. The measurement instrument comprised 34 items distributed across the five core components. Confirmatory Factor Analysis demonstrated robust psychometric properties, with factor loadings ranging from 0.58 to 0.89, indicating strong construct validity. The results revealed that the model demonstrated satisfactory fit indices, meeting established criteria for Structural Equation Modeling (SEM).