Using Factor Analysis, Cluster Analysis, and Discriminant Analysis to Determine Entrepreneurial Propensity
Year: 2008
Type: preprint
Abstract: This case study is designed solely to demonstrate how factor analysis, cluster analysis and discriminant analysis can be used to enhance decision making. Interpretation of secondary quantitative data shows that students can be segmented by their entrepreneurial propensity into three distinct groups. This paper is intended solely for pedagogical purposes and the findings should not be deemed valid. In addition to exploring the benefits of factor, cluster and discriminant analysis, this paper also provides a brief literature review in the area of corporate entrepreneurship.
Source: SSRN Electronic Journal
Author: Matthew Kenney
Language: English
Subfield: Management of Technology and Innovation
Domain: Social Sciences
SDG: Quality education
Open Access status: green
OpenAlex ID: W2912666378