Abstract
Abstract Skill mismatch is worldwide issue as it can be effect job satisfaction, wages and multiple other factors. Analyzing selft-reported skill mismatch is highly studied in prior work. In this paper we study evidence of skill mismatch between three categories: Professionals, Students and Faculty member. We collect data from a survey. In this paper we use the Chi-Test to find evidence of skill mismatch between Professionals, Faculty members and students. We suppose that the three proportions are equals which means they agree on the importance of skills. If the hypothesis in not true we use the Marascuillo procedure to make comparisons between all pairs of groups Results of our paper shows that categories agree on the importance of skills categories especially programming languages; However, we find evidence of a mismatch between skills types especially Databases and Audit and risk analysis. We also find agreement between groups for some skills such as C++, as participants agree that this skill is not highly used in the cybersecurity job market.
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