INTENTION TO ADOPT INFRASTRUCTURE AS-A SERVICE BASED E-LEARNING: DATA SCREENING AND PRELIMINARY ANALYSIS

Abstract

The demand for providing education in developing countries' educational institutions is growing exponentially. Hence, the need for cloud-based elearning 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 ServiceBased 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.