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The paper evaluates the results of a survey regarding challenges connected to the Big Data phenomenon and the New Digital Divide. Following the authors’ previous research, these challenges consist of issues such as business advantage, privacy intrusion, or big brother effect. Perception of these challenges by respondents (IT students and IT professionals) is studied in the paper, and multivariate methods are applied to the survey data to obtain a deeper insight and to discover hidden patterns in the data. The goal of the study is to identify groups of challenges based on respondents’ judgment. For this purpose, cluster analysis and factor analysis are used. Results obtained using these methods are compared and evaluated.

Multivariate methods for survey evaluation: A case study of Big Data and the New Digital Divide