title: Perceived Organizational Support for Enhancing Welfare at Work: A Regression Tree Model.
abstract: When trying to examine outcomes such as welfare and well-being, research tends to focus on main effects and take into account limited numbers of variables at a time. There are a number of techniques that may help address this problem. For example, many statistical packages available in R provide easy-to-use methods of modeling complicated analysis such as classification and tree regression (i.e., recursive partitioning). The present research illustrates the value of recursive partitioning in the prediction of perceived organizational support in a sample of more than 6000 Italian bankers. Utilizing the tree function party package in R, we estimated a regression tree model predicting perceived organizational support from a multitude of job characteristics including job demand, lack of job control, lack of supervisor support, training, etc. The resulting model appears particularly helpful in pointing out several interactions in the prediction of perceived organizational support. In particular, training is the dominant factor. Another dimension that seems to influence organizational support is reporting (perceived communication about safety and stress concerns). Results are discussed from a theoretical and methodological point of view.
authors.affiliation: Department of Psychology, European University of Rome Rome, Italy.
authors.forename: Gabriele
authors.initials: G
authors.lastname: Giorgi
authors.affiliation: Psychological ARTS Austin, TX, USA.
authors.forename: David
authors.initials: D
authors.lastname: Dubin
authors.affiliation: Department of Psychology, European University of Rome Rome, Italy.
authors.forename: Javier Fiz
authors.initials: JF
authors.lastname: Perez
keywords: health promotion; organizational psychology; perceived organizational support; welfare; work-related stress; workplace