Verification of Metric Characteristics of the Questionnaire "framework for Digital Competence - Teacher for the Digital Age"
A team of researchers from the University of Novi Sad in Serbia has conducted a study to verify the metric characteristics of the Digital Competence Framework (DCF) questionnaire, which aims to assess teachers' digital competencies. The study involved 306 teachers across various educational levels in Vojvodina, Republic of Serbia, and found excellent internal consistency in the questionnaire's metric characteristics, with a Cronbach's alpha coefficient ranging from 0.950 to 0.955. The research also revealed six factors, which differ from the original eight-factor model, indicating adequate construct validity.
Key Takeaways:
- The Digital Competence Framework (DCF) questionnaire supports teachers in Serbia's education system in integrating digital content into everyday practices.
- The questionnaire comprises 30 statements divided into eight broader categories, including searching, accessing, storing, and managing information, and communication and collaboration in online environments.
- The study involved 306 teachers across all Vojvodina, Republic of Serbia educational levels and found excellent internal consistency in the questionnaire's metric characteristics, with a Cronbach's alpha coefficient ranging from 0.950 to 0.955.
- The research revealed six factors, which differ from the original eight-factor model, indicating adequate construct validity.
- The authors tested the DCF questionnaire's metric characteristics and found that the subscale K21, with alpha = 0.955, demonstrated the highest internal consistency coefficient.
- The study has been peer-reviewed and published in the journal Education and Information Technologies.
Statistics:
- 306: The number of teachers involved in the study.
- 0.950-0.955: The range of Cronbach's alpha coefficient for subscales, indicating excellent internal consistency.
- 30: The number of statements in the DCF questionnaire.
- 8: The number of broader categories in the questionnaire.
- 6: The number of factors revealed by the factor analysis, which differ from the original eight-factor model.
Sources:
- "Verification of Metric Characteristics of the Questionnaire 'framework for Digital Competence - Teacher for the Digital Age'." Education and Information Technologies, 2025.
- NewsRx. Reports from University of Novi Sad Advance Knowledge in Education and Information Technology (Verification of Metric Characteristics of the Questionnaire "framework for Digital Competence - Teacher for the Digital Age."). Information Technology Newsweekly. August 12, 2025; p 609.