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COVID-19 countermeasures at the workplace, psychological well-being, and mental health - a nationally representative latent class analysis of Luxembourgish employees

Crossref DOI link: https://doi.org/10.1007/s12144-022-03377-4

Published Online: 2022-07-14

Published Print: 2024-04

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Sischka, Philipp E. https://orcid.org/0000-0001-8414-0817
Schmidt, Alexander F. https://orcid.org/0000-0001-6449-2946
Steffgen, Georges https://orcid.org/0000-0002-0171-6786
Funding

Funding for this research was provided by:

This research was supported by a grant from the Luxembourg Chamber of Labor
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Text and Data Mining valid from 2022-07-14

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Article History

Accepted: 18 June 2022

First Online: 14 July 2022

Declarations

:

: This study was performed in line with the principles of the Declaration of Helsinki and APA ethics policy regarding the treatment of participants.

: The authors have no potential conflicts of interest to disclose.

: Data analysis was done in R (Version 4.1.3, R Core Team, ) and Mplus (v8.8; Muthén & Muthén, ). Data transformations were done with the tidyverse (Wickham et al., ), car (Fox & Weisberg, ), labelled (Larmarange et al., ), and sjlabelled (Lüdecke & Ranzolin, ) packages. Descriptive statistics were calculated with the weights (Pasek et al., ) package. Reliabilities were calculated with the MBESS (Kelley, ) package. The latent class analyses were done in Mplus (v8.8; Muthén & Muthén, ) and read in R with the package MplusAutomation (Hallquist & Wiley, ). The graphs were created with the ggplot2 (Wickham et al., ) and ggpubr (Kassambara, ) packages. The data codebook was created with the codebook (Arslan, ) package.

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