Hecht M, Horstmann KT, Arnold M, Sherman RA, Voelkle MC. Modeling Dynamic Personality Theories in a Continuous-time Framework:An Illustration.
J Pers 2022;
91:718-735. [PMID:
36040296 DOI:
10.1111/jopy.12769]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 06/10/2022] [Accepted: 08/17/2022] [Indexed: 11/28/2022]
Abstract
Personality psychology has traditionally focused on stable between-person differences. Yet, recent theoretical developments and empirical insights have led to a new conceptualization of personality as a dynamic system (e.g., Cybernetic Big Five Theory). Such dynamic systems comprise several components that need to be conceptually distinguished and mapped to a statistical model for estimation. In the current work, we illustrate how common components from these new dynamic personality theories may be implemented in a continuous-time modeling framework. As an empirical example, we reanalyze experience sampling data from Sherman et al. (2015) with N = 180 persons (with on average T = 40 [SD = 8] measurement occasions) to investigate four different effects between momentary happiness, momentary extraverted behavior, and the perception of a situation as social: (1) between-person effects, (2) contemporaneous effects, (3) autoregressive effects, and (4) cross-lagged effects. We highlight that these four effects must not necessarily point in the same direction, which is in line with assumptions from dynamic personality theories.
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