Multilevel Latent Profile Analysis With Covariates: Identifying Job Characteristics Profiles in Hierarchical Data as an Example

TL;DR: This study examines whether profiles of daily recovery experiences occur for employees, and how these profiles vary in membership from one day to the next, are differentiated by daily job demands and resources experienced at work, and predict employee well-being and discretionary behaviors during the subsequent workday.

TL;DR: Emotion regulation (ER) repertoire-the range of different ER strategies an individual utilizes across situations-is assumed to enable more adaptive ER and greater well-being and both ER repertoire width and the specific make-up of the ER repertoire were relevant for the relation between ER repertoire andWell-being.

TL;DR: Theoretical and empirical literature developed over recent years supports the concept of employability as a construct combining complex interactions of individual and contextual dimensions as mentioned in this paper, and employability can be viewed as a way of describing the human capability of individuals.

TL;DR: This study investigated teachers’ experiences of two job demands, two job resources, two teacher collaboration and input in decision-making, and one personal resource (self-efficacy for teaching) to identify distinct teacher profiles of demands and resources.

TL;DR: In this paper, the authors used a longitudinal design and a person-centred methodology to test the strain and learning hypotheses of the job demands-control model among Finnish employees (n = 926), who were followed-up at three time points covering a period of 2 years (2008-2010).

TL;DR: In this article, a multilevel latent class (LC) analysis produced four LCs or types of research output profiles: "Not Book", "Book and Non-reviewed Journal Article", "Multiple Outputs", "Journal Article, Conference Contribution, and Career Development", and "Conference Contribution" for the Austrian Science Fund (FWF).

TL;DR: Findings suggest that meaningful categories of schools with respect to healthy environments can be identified and these categories could be used for focusing interventions and evaluating school health programs.

TL;DR: Avoiding higher-level nesting structure in an MLCM resulted in the poor performance of the Bayesian information criterion to recover the true latent structure, the inaccurate classification of individuals into latent classes, and the inflation of standard errors for parameter estimates.