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Cogent Education Volume 11, 2024 - Issue 1
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Information & Communications Technology in Education

Exploring the nexus between digital competencies and digital citizenship of higher education students: a PLS-SEM approach

Valentina Arkorfula College of Distance Education, University of Cape Coast, Cape Coast, GhanaORCID Iconhttps://orcid.org/0000-0001-6658-3067View further author information
ORCID Icon,
Iddrisu Salifub School of Economics, University of Cape Coast, Cape Coast, Ghana;c Centre for Coastal Management-Africa Centre of Excellence in Coastal Resilience, Department of Fisheries and Aquatic Sciences, University of Cape Coast, Cape Coast, GhanaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1605-5941View further author information
ORCID Icon,
Francis Arthurd Department of Business and Social Sciences Education, Faculty of Humanities and Social Sciences Education, University of Cape Coast, Cape Coast, GhanaORCID Iconhttps://orcid.org/0000-0001-7792-6563View further author information
ORCID Icon &
Sharon Abam Norteyd Department of Business and Social Sciences Education, Faculty of Humanities and Social Sciences Education, University of Cape Coast, Cape Coast, GhanaORCID Iconhttps://orcid.org/0009-0007-9017-4440View further author information
ORCID Icon
Article: 2326722 | Received 22 Dec 2023, Accepted 29 Feb 2024, Published online: 15 Mar 2024

Figures & data

Figure 1. Conceptual framework. Source: Authors’ construct.

Figure 1. Conceptual framework. Source: Authors’ construct.

Table 1. Constructs, items, IL, CA (α), rho_A, CR and AVE.

Figure 2. PLS-SEM algorithm results.

Figure 2. PLS-SEM algorithm results.

Table 2. Fornell–Larcker.

Table 3. HTMT correlation ratios.

Table 4. Model fit indices.

Figure 3. PLS-SEM bootstrapping results.

Figure 3. PLS-SEM bootstrapping results.

Table 5. Structural model.

Figure 4. Importance-performance map.

Figure 4. Importance-performance map.

Table 6. Total effects and performance index values for digital citizenship.

Figure 5. Latent variable performances.

Figure 5. Latent variable performances.

Figure 6. Revised conceptual framework. ***p < .001, *p < .05, NS = not significant. Source: Authors’ construct.

Significant path.
Non-significant path.

Figure 6. Revised conceptual framework. ***p < .001, *p < .05, NS = not significant. Source: Authors’ construct. Display full size Significant path. Display full size Non-significant path.

Table 7. Summary of results for the hypotheses.

Table

Data availability statement

The data on which the findings and conclusions of the study are derived will be available upon request from the corresponding author

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