Cluster and Factor Analysis of Satisfaction Perception of B-learning of Medical Terminology

This study was dedicated to exploration of student perception of satisfaction of b-learning. The aim was to evaluate student satisfaction attributes (objective and subjective) in the b-learning setting of the study courses: Medical Terminology in Latin and English and to reveal homogenous groups of students of different study programmes Dentistry, Medicine, Nursing, Occupational Therapy, Physiotherapy and Public Health with respect to their satisfaction of b-learning at Rīga Stradiņš University. A cross-sectional study was carried out involving 418 students in the years of 2018 and 2019. The survey comprised 6 domains: information quality, system quality, service quality, use, user satisfaction and net benefits. Satisfaction attributes (10) were evaluated according to students’ objective (fulfillment) and subjective (perception) aspects. For each attribute an index was created, which was used to reveal homogeneity of student groups. A two-step cluster analysis, factor analysis and non-parametric tests were performed using IBM SPSS Statistics 20. The results indicated a high rate of satisfaction of e-learning (46% - 67%), while the cluster analysis segregated 3 groups of students of different study programmes with respect to their responses. The exploratory factor analysis revealed 4 factors. The obtained results can be taken into account when creating personalized b-learning courses and conducting further surveys.