This paper aims to analyze the results of institutional self-evaluation applied to a Federal Institute of Higher Education to identify how the segments of the university community rated each dimension included. From the results obtained from the application of a structured electronic questionnaire, consisting of 39 questions common to the subjects studied, the questions were grouped into seven dimensions: 1 - Policy for teaching, research and extension, 2 - Social Responsibility, 3 - Communication with society, 4 - Organization and Management, 5 - Physical infrastructure and teaching, 6 - Assistance to students and 7 - Financial Sustainability. The consistencies of the variables are grouped, tested by Cronbach's alpha. Subsequently, in order to reduce the variables to only one in each dimension, we used the plus scale technique and the analysis of variance test (ANOVA). Finally, the Cluster Analysis allowed us to group the subjects according to the evaluation made of the institution. The results indicated that most of the students and teachers, positively evaluated the institution, while the technical staff, in most cases, evaluated the institution more negatively. The dimensions were evaluated as good by the "Best Rating" clusters and as unexceptional by the 'Worst rating' clusters.
Evaluation; Quality of higher education; SINAES; Institutional self-evaluation; Cluster analysis
