Content Analysis Versus Structured Topic Modeling: Unethical Military Leadership

Abstract

The U.S. Military strives to reduce unethical behavior in the organization by identifying and targeting unethical leaders. This qualitative study employs content analysis and the structured topic modeling machine learning algorithm to understand unethical leadership in the Military on over 439 interviews with military personnel at six different locations. Specifically, we compared the results of both approaches to identify important aspects of unethical leadership in the Military. In general, both methods produced similar results that supported one another. Moreover, the STM method produced new insights of unethical leadership that were highly interpretable by the research team. An overview of this research project and a subset of results are presented in this poster.