Multidimensional Dataset for Assessing and Modeling Digital Readiness in Algerian Higher Education Institutions
Description
The dataset was validated from 1012 students, professors, and administrative staff in Algerian higher education institutions, aimed at assessing digital readiness for academic and administrative transformation. The measurement tool, developed through a systematic literature review and expert interviews, covers four dimensions: digital infrastructure, skills, top management support, and change readiness, along with mediating variables such as e-learning, e-library, and e-administration. Data quality was confirmed using exploratory and confirmatory factor analyses, validity tests, and reliability measures. The dataset, available in coded and structured formats, supports comparative research, institutional evaluations, and policymaking for digital transformation in higher education.
Files
Steps to reproduce
Steps to Reproduce * Download the Dataset The full dataset, including both coded and structured versions, is available at [ doi: 10.17632/vzj64bkjfn.1]. Researchers should download the .csv or .xlsx file for further analysis. * Understand the Variable Structure The dataset includes responses from 1,012 individuals (students, professors, administrative staff) across seven dimensions: Independent variables: Digital Infrastructure, Digital Skills, Top Management Support, Readiness for Change Mediating variables: E-Learning, E-Library, E-Administration Each item is coded on a five-point Likert scale (1 = Strongly disagree to 5 = Strongly agree). * Prepare the Statistical Environment Use statistical software such as SPSS, AMOS, R, or SmartPLS. Install relevant packages if using R (e.g., psych, lavaan, semTools). * Validate the Measurement Model Run Exploratory Factor Analysis (EFA) to identify underlying constructs. Conduct Confirmatory Factor Analysis (CFA) to test model fit. Assess Convergent and Discriminant Validity, and check reliability using Cronbach’s alpha and Split-Half methods. * Replicate or Extend the Analysis Use the validated constructs to perform Structural Equation Modeling (SEM) or regression analysis. Comparative studies or institutional benchmarking can be performed using subgroup filtering (e.g., by role, institution, or region). * Reference the Source Study The dataset supports the doctoral dissertation titled “A Multidimensional Assessment of Digital Readiness in Algerian Higher Education and Scientific Research Institutions”. It can be used independently or in relation to the unpublished study for contextual understanding. * Cite and Acknowledge Appropriately When using this dataset, please cite this paper and mention the original source for academic transparency and reproducibility.