Unfavourable working conditions are a prominent issue in the field of economic and social studies. The topic has been deeply investigated, especially in order to build intrinsic job quality indices. Many psycho-social risks that negatively impact on workers' health and well-being, such as a very high work intensity and work-related stress, have become key matters of interest. We explore two different analytical tools to measure work-related stress, detecting the effects of subjective, environmental and economic variables on the response patterns of a large sample of respondents. We discuss results through a model belonging to the class of generalized CUB models which is worthwhile for this kind of surveys; in addition, a multiple indicator, multiple independent cause (MIMIC) model is employed to interpret work-related stress concept as a latent variable, which manifests itself through a number of indicators and it is influenced by a number of exogenous variables. Specifically, we analyze the perceived stress assessments using data collected in the fifth European Working Conditions Survey carried out by Eurofound in 2010.
|Data di pubblicazione:||2017|
|Titolo:||Work-related Stress: Different Techniques to Compare Measures and Determinants|
|Autore/i:||Addabbo, Tindara; Capecchi, Stefania; Piccolo, Domenico; Sarti, Elena|
|Serie:||COLLANA FONDAZIONE MARCO BIAGI|
|Titolo del libro:||Well-being at and through Work|
|A cura di:||Addabbo, Tindara; Ales, Edoardo; Curzi, Ylenia; Senatori, Iacopo|
|Citazione:||Work-related Stress: Different Techniques to Compare Measures and Determinants / Addabbo, Tindara; Capecchi, Stefania; Piccolo, Domenico; Sarti, Elena. - STAMPA. - 9(2017), pp. 255-277.|
File in questo prodotto:
I documenti presenti in Iris Unimore sono rilasciati con licenza Creative Commons Attribuzione - Non commerciale - Non opere derivate 3.0 Italia, salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris