Evidence map›Paper›PMID 40341757›Full record

ArticlePloS one2025

Developing the DigIQ: A measure of digital competence.

Dian A de Vries, Jessica Taylor Piotrowski, Claes de Vreese

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Dian A de VriesDepartment of Communication Science, Amsterdam School of Communication Research ASCoR, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-8323-0439
Jessica Taylor PiotrowskiDepartment of Communication Science, Amsterdam School of Communication Research ASCoR, University of Amsterdam, Amsterdam, The Netherlands.ORCID 0000-0002-2756-5197
Claes de VreeseDepartment of Communication Science, Amsterdam School of Communication Research ASCoR, University of Amsterdam, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Digital competence reflects the skills and knowledge needed to thrive in the digital world. Despite the criticality of this concept, the field lacks a robust and valid measure of digital competence that is suitable across the life span. Addressing this need, using data from more than 2500 participants across three studies, this work presents the development of the DigIQ - a psychometrically valid indicator of digital competence for use across the lifespan. The measure reflects the complexity of digital competence - covering nine skill domains (strategic information skills, critical information skills, netiquette, digital content creation skills, safety and control of information and devices, digital health and wellbeing, sustainable/green digital skills, digital problem-solving skills, and AI skills) and related digital knowledge. While promising, results highlight important future considerations - namely, the need to assess the tool's suitability for younger demographics and individuals with limited literacy skills; the importance of complementing this tool with more nuanced indicators when making interpretations across age groups; and the need to adapt this tool to reflect emerging technological developments. Still, even with these caveats, the DigIQ represents an important advance in digital competence assessment, and thanks to its open access approach, can widely inform evidence-based decision-making and promote digital competence in an increasingly digitized world.

Indexed as

Digital TechnologyAdolescentAdultAgedFemaleHumansMaleMiddle AgedPsychometricsYoung Adult

Identifiers

PMID40341757
PMCPMC12061411

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.