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A trait-state model of trust propensity: evidence from two career transitions

van der Werff, Lisa orcid logoORCID: 0000-0003-4529-4690, Freeney, Yseult orcid logoORCID: 0000-0002-0332-468X, Lance, Charles E. and Buckley, Finian orcid logoORCID: 0000-0003-2651-6868 (2019) A trait-state model of trust propensity: evidence from two career transitions. Frontiers in Psychology, 10 . ISSN 1664-1078

Abstract
Trust propensity is typically conceptualized as a stable, trait-like, exogenous variable. Drawing on the social investment principle of personality change, we argue that trust propensity has situationally specific components and is likely to be less stable during periods of career transition. Using a latent curve-latent state-trait model, we present evidence that suggests that trust propensity has stable (trait) and unstable (state) components during career transition periods and that it has the potential to change over time. Our results are replicated across two, transitional workplace populations during a process of (re)socialization into an organization. In our second study, we also expand our focus to examine correlates of trust propensity and demonstrate the relationship between state and trait trust propensity and cognitive depletion. Our paper significantly extends knowledge of the nature of trust propensity and raises questions about the stability of this construct, one of the core tenets of trust theory.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:trust; trust propensity; socialization; career transition; trait-state-occasion models; cognitive depletion; latent growth model; personality change
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > DCU Business School
Publisher:Frontiers Media
Official URL:http://dx.doi.org/10.3389/fpsyg.2019.02490
Copyright Information:© 2019 The Authors. Open access.
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:23948
Deposited On:19 Nov 2019 10:38 by Thomas Murtagh . Last Modified 26 Sep 2022 14:58
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