A New Academic Quality at Work Tool (AQ@workT) to Assess the Quality of Life at Work in the Italian Academic Context
academic teaching staff; assessment tool; job demands-resources model; quality of life in academia; validation
150
370
Reproducibility of Result
Pilot Projects
Article
academic teaching staff; assessment tool; job demands-resources model; quality of life in academia; validation; Humans; Italy; Pilot Projects; Reproducibility of Results; Surveys and Questionnaires; Quality of Life
Settore M-PSI/06 - Psicologia del Lavoro e delle Organizzazioni
academic teaching staff
Surveys and Questionnaires
Validation
0502 economics and business
Surveys and Questionnaire
Humans
Pilot Project
Academic teaching staff; Assessment tool; Job demands-resources model; Quality of life in academia; Validation;
validation
Academic teaching staff; Assessment tool; Job demands-resources model; Quality of life in academia; Validation; Humans; Italy; Pilot Projects; Reproducibility of Results; Surveys and Questionnaires; Quality of Life
4. Education
Academic teaching staff
05 social sciences
Reproducibility of Results
academic teaching staff, assessment tool, job demands-resources model, quality of life in academia, validation
job demands-resources model; quality of life in academia; validation; academic teaching staff;
Assessment tool
job demands-resources model; quality of life in academia; validation; academic teaching staff; assessment tool
job demands-resources model
Quality of life in academia
Job demands-resources model
Italy
quality of life in academia
Quality of Life
assessment tool
Human
DOI:
10.3390/ijerph19063724
Publication Date:
2022-03-21T17:24:59Z
AUTHORS (26)
ABSTRACT
The present study provides evidence for a valid and reliable tool, the Academic Quality at Work Tool (AQ@workT), to investigate the quality of life at work in academics within the Italian university sector. The AQ@workT was developed by the QoL@Work research team, namely a group of expert academics in the field of work and organizational psychology affiliated with the Italian Association of Psychologists. The tool is grounded in the job demands-resources model and its psychometric properties were assessed in three studies comprising a wide sample of lecturers, researchers, and professors: a pilot study (N = 120), a calibration study (N = 1084), and a validation study (N = 1481). Reliability and content, construct, and nomological validity were supported, as well as measurement invariance across work role (researchers, associate professors, and full professors) and gender. Evidence from the present study shows that the AQ@workT represents a useful and reliable tool to assist university management to enhance quality of life, to manage work-related stress, and to mitigate the potential for harm to academics, particularly during a pandemic. Future studies, such as longitudinal tests of the AQ@workT, should test predictive validity among the variables in the tool.
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