To date, little research has examined the relationship between territorial work behavior and individual differences in personality. Using hierarchical multiple regression, dimension-level and facet-level personality traits of the HEXACO model of personality were examined to determine whether personality traits predict territorial work behaviors. Based on a sample of 160 workers from Amazon's Mechanical Turk, it was observed that the dimensions of Honesty-Humility, Emotionality, Openness to Experience, and Altruism predicted territorial work behaviors. In addition, facet-level traits from these dimensions, in addition to facets from the Extraversion and Agreeableness dimension, explained variance in each of the territorial behaviors. Furthermore, quantile regression was utilized to examine differences between ordinary least squares regression and quantile regression in order to investigate the utility of quantile regression methods to predict territorial work behaviors and similar constructs. Results from quantile regression analyses provided a more detailed conceptualization compared to OLS regression and found additional regions of significance differing from OLS regression results. These findings, implications, and future research directions are discussed in detail.
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Master of Science (M.S.)
College of Sciences
Industrial and Organizational Psychology
Length of Campus-only Access
Masters Thesis (Open Access)
White, Andrew, "Predictors of Territorial Work Behavior: An Investigation of Individual Differences in Personality Using the HEXACO Model" (2019). Electronic Theses and Dissertations. 6594.
Restricted to the UCF community until August 2019; it will then be open access.