Can Overclaiming Technique Improve Self-Assessment Tools for Digital Competence? The Case of DigCompSat.

Digital competence is crucial for living, working and participating in current societies. Despite its huge importance, objective measurement tools for it are scarce due to its developmental difficulty. Self-assessment of digital competence seems a promising proxy of objective tests, and it additionally offers the possibility for surveying otherwise unmeasurable constructs such as attitudes and beliefs. However, self-assessment tools are burdened with validity problems, most notably response biases such as overly positive descriptions, overclaiming or careless and insufficient effort responding. In this paper, we investigate how these problems can be mitigated by using the overclaiming technique, a technique that identifies and corrects the bias variance in self-assessments. Our main result was that the use of the overclaiming technique can lead to higher reliability and validity of digital competence self-assessment tools, especially for short scales. Moreover, it allows for correcting additional spurious variance in comparison with careless responding indexes, which allows the use of both these techniques in parallel to increase the quality of data. Our results are important in providing advances in enhanced information on digital competence that can result in better lifelong learning decisions when used at the individual level and in better policy-making decisions when used at the aggregate level. [ABSTRACT FROM AUTHOR]

Copyright of Social Science Computer Review is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)