Job resources are known to be key drivers of work engagement, but surprisingly, little is
known about the relative importance of specific job resources in comparison to one another …

Researchers often make claims regarding the importance of predictor variables in multiple
regression analysis by comparing standardized regression coefficients (standardized beta …

To address the challenges imposed by demographic change, organizations have become
increasingly interested in maintaining and improving employees' work ability across the …

Abstract Person–environment (PE) fit, a broad constellation of constructs related to an
individual's congruence with their work environment, is of great interest to research and …

Dominance analysis is a common method applied to statistical models to determine the
importance of independent variables. In this article, I describe two community-contributed …

In the face of natural complexities and multicollinearity, model selection and predictions
using multiple regression may be ambiguous and risky. Confounding effects of predictors …

El estudio aborda la relación entre las características motivacionales de diseño del trabajo y
diferentes dimensiones de desempeño laboral, adoptando un enfoque ampliado respecto a …

Culture is an important factor affecting happiness. This paper examines the predictive power
of cultural factors on the cross-country differences in happiness and explores how different …

Background Although interdisciplinarity has been a subject of interest and debate for
decades, few investigations of interdisciplinary education exist. Existing studies examine the …

Background Multiple reports call for undergraduate programs to develop engineers who
have leadership abilities. Such preparation requires understanding how the undergraduate …