A person-centered perspective on the factors associated with the work recovery process

Abstract

HAL is a multidisciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L'archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d'enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

Always on, never done? How the mind recovers after a stressful workday?

“…For instance, in a longitudinal study Kinnunen et al (2017) found five stable individual patterns between affective rumination, problem-solving pondering, and lack of psychological detachment that differently related to job demands and mental wellbeing. Similarly, Gillet et al (2020) found four consistent patterns between overcommitment, rumination, and psychological detachment that were associated with different outcomes and work-related stressors in two substudies. Finally, in another longitudinal study, Casper et al (2019) identified six profile combinations between positive and negative work reflection.…”

Complementary variable‐ and person‐centred approaches to the dimensionality of workaholism

“…In Study 3, we directly tested the role of workload as a correlated predictor of membership into the identified profiles on the basis of previous variable-centered results supporting its association with workaholism (Gillet et al, 2018;Huyghebaert et al, 2018a) and psychological detachment (Bennett et al, 2016;Gillet et al, 2020b). Indeed, employees exposed to higher workloads have to work harder to achieve their objectives, making it more likely for them to think about their work obligations when outside of the work settings, thus leading to high levels of workaholism (Schaufeli et al, 2008).…”

A Primer to Latent Profile and Latent Class Analysis

“…In most applied cases researchers will wish to use LPA on multiple indicators. The were chosen in line with results from Gillet et al (2020). Hence, within sampling error, our analysis will lead to roughly identical conclusions.…”

“…In practice, LPA/LCA is also frequently applied to classify persons over a range of conceptually related, but distinct constructs (e.g., J. Bauer & Mulder, 2013;Gillet et al, 2020). In that case, the resulting profiles are mere summaries of persons with similar answer patterns and should not be interpreted as realizations of a latent trait (see section 4.1 on the danger of reification).…”

“…We will use simulated data and the packages mclust (Scrucca et al, 2016), tidyLPA (Rosenberg et al, 2018), and poLCA (Linzer & Lewis, 2011) in the R statistical environment (R Core Team, 2021) so that readers can reproduce all analyses. Though the data are simulated, Examples 2 and 3 are based on published studies that used LPA (Gillet et al, 2020) and LCA (Richter et al, 2013). Below, I restrict the presentation to the most important parts of the in-and output.…”