Open AccessINTENTION TO ADOPT INFRASTRUCTURE AS-A SERVICE BASED E-LEARNING: DATA SCREENING AND PRELIMINARY ANALYSIS
Author(s) -
Abubakar Magira Tom,
Wiwied Virgiyanti,
Wan Rozaini
Publication year - 2020
Publication title -
journal of information system and technology management
Language(s) - English
Resource type - Journals
ISSN - 0128-1666
DOI - 10.35631/jistm.518001
Subject(s) - exploratory factor analysis , exploratory data analysis , computer science , multivariate statistics , multivariate analysis , missing data , cloud computing , data science , statistical analysis , knowledge management , statistics , data mining , machine learning , mathematics , structural equation modeling , operating system
The demand for providing education in developing countries' educational institutions is growing exponentially. Hence, the need for cloud-based e-learning to provide effective and efficient e-learning content 24/7. This paper aims to provide a comprehensive step-by-step guide on the data cleaning procedures for evaluating the Intention to Adopt Infrastructure as-a Service-Based E-learning among the ICT top managers. Four hundred fifty-four (454) respondents were derived from universities across the Northern region of Nigeria, using a systematic random sampling technique. Likewise, the exercise was performed to suit the multivariate analysis supposition. In light of that, the pilot study, missing data analysis, as well as factor analysis via the Exploratory Factor Analysis (EFA) were performed using the Statistical Package for Social Science (SPSS v. 25). The findings revealed that the data fulfilled the condition of multivariate analysis. Therefore, these results provide intuition to perform further statistical and hypotheses assessments.