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Identifying the contextualized personality structure of leaders : a lexical approach

Veerman, R. (2020) Identifying the contextualized personality structure of leaders : a lexical approach.

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Abstract:Prior researchers have suggested that the development of contextualized personality models can substantially contribute to personality literature, research, and practices since commonly used personality models might not be ideal to assess the personality of specific people in certain roles. The current study examined the contextualized personality structure of leaders specifically using a lexical approach. In order to answer the research question “What does the new contextualized personality factor structure for leaders look like, using a lexical approach?” participants (n = 54) filled in a comprehensive online self-rating questionnaire containing 418 personality-descriptive adjectives. A principal component analysis of the data resulted in the identification of a five-factor solution to the contextualized personality structure of leaders, labelled as follows: Destructive, Powerful/Proactive, Human-orientated, Instrumental/Rational, and Organized. The five-factor structure was comprised with 251 adjectives most frequently used by leaders with diverse backgrounds to describe leaders’ personality. The new personality assessment scales demonstrated satisfactory reliability, was able to explain important variance in leader personality, and was to a fairly high degree distinguishable from commonly used personality models. Taken together, the results suggest that the contextualized personality model is an appropriate measurement tool for leaders’ personality that can help to elaborate on both personality and leadership knowledge. Several theoretical and practical implications, limitations, and directions for future research are addressed.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:70 social sciences in general, 85 business administration, organizational science
Programme:Educational Science and Technology MSc (60023)
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