Abstract
We investigated the viability of using an automated text analysis coding tool to measure cognitive complexity in terms of differentiation and integration. The sample consisted of senior (n = 20) and mid-level leaders (n = 11) within a Canadian post-secondary institution who participated in 60-min, semi-structured interviews discussing their perspectives on leadership. We found that leaders who expressed higher integration and lower differentiation were more likely to hold a senior leadership position. Among senior leaders, four years after their interview, those who expressed lower integration were more likely to turnover (90%) than those who expressed higher integration (40%). We introduce an automated text analysis coding tool as an alternative to repertory grid-based methods of measuring complexity. We discuss how this automated tool can measure differentiation and integration and how it can be used to develop theory in the cognitive complexity literature.
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