Factor analysis method applied to the results of crowdfunding projects

The active spread of the Internet at the beginning of the 21st century led to the unification of a large number of people on single Internet platforms, on which direct interaction between users and entrepreneurs became possible. This served as the basis for the emergence of a new way to attract funding to risky entrepreneurial projects and startups – crowdfunding. Continuous improvement of data analysis methods makes it possible to more effectively study crowdfunding and its consequences for the global and national economic system. The results on the structure of projects that are organized by entrepreneurs on the Kickstarter crowdfunding platform to finance and implement their unique ideas provide a deeper understanding of how the crowdfunding industry needs to be improved to ensure the most effective development of innovation and small and medium-sized businesses. In this regard, the question arises of how to analyze crowdfunding projects. In this article, using the example of applied research of data on more than 100 thousand completed crowdfunding projects, it will be shown how one of the statistical methods for analyzing the relationships between variables – factor analysis, can be used.