Not All Academics Are Alike: First Validation of the Academics' Quality of Life at Work Scale (AQoLW)

Background: Relating to the macro-level changes and the increasing complexity of the academic system, a growing number of studies began to investigate the perceived working context impact on well-being and job satisfaction of academics. A unique duality characterizes this context: academics cannot be longer defined as stress-free, but at the same time they are still satisfied and engaged in their work. There is a need to evaluate the academic environment not only in terms of stressor and strain, but also in terms of which experiences are sources of fulfillment. The study aimed to explore psychometric properties of a new instrument (AQoLW) for assessing context-specific features of the academic work and environment that characterized academics' quality of life at work. Method: A 24 item scale was deployed to academics (full, associate, and assistant professors) in a public university in the north of Italy. Items were defined to represent the main academic activities in order to measure if respondents perceived each of it as a challenging or a hindrance demand. The scale was administered online to 1,012 academics, 443 females (48.7%), mean aged 51.1 years (SD = 8.2). In order to test three theoretical models underling AQoLW, a training sample was randomly extracted (242 participants) and analyzed using confirmatory factor analysis (CFA). A validation sample with the remaining 668 participants was used to test the measurement invariance by role of the best model emerging from the training sample. Results: Model fit demonstrate the goodness of a latent structure composed by five intercorrelated factors (CFI = 0.91, RMSEA = 0.08, SRMR = 0.07). Cronbach α of the five subscales was good, ranging from 0.76 to 0.88. The scale overtakes configural invariance, but not strong invariance by role. Conclusions: The scale is able to intercept the mainly dimensions of the academic work that contribute to the quality of life of academics' staff, namely: research and public engagement, didactic work and relationships with students, career development and competition, ordinary obligations, and fund raising. AQoLW is the first tool to evaluate the academic work and its environment, identifying which activities are stressful demands and which are engaging, and promote scholars' satisfaction.

[1]  Janette Currie The effects of globalisation on 1990s academics in greedy institutions: Overworked, stressed out and demoralised , 1996 .

[2]  Clive Morley,et al.  Why Business Academics Remain in Australian Universities Despite Deteriorating Working Conditions and Reduced Job Satisfaction: An intellectual puzzle , 2003 .

[3]  Richard Winter,et al.  The Academic Work Environment in Australian Universities: A motivating place to work? , 2002 .

[4]  P. Bentler,et al.  Fit indices in covariance structure modeling : Sensitivity to underparameterized model misspecification , 1998 .

[5]  Nathan P. Podsakoff,et al.  Differential challenge stressor-hindrance stressor relationships with job attitudes, turnover intentions, turnover, and withdrawal behavior: a meta-analysis. , 2007, The Journal of applied psychology.

[6]  P. Bentley,et al.  Academic Job Satisfaction from an International Comparative Perspective: Factors Associated with Satisfaction Across 12 Countries , 2013 .

[7]  Con Stough,et al.  Occupational stress in universities: Staff perceptions of the causes, consequences and moderators of stress , 2001 .

[8]  A. Bakker,et al.  The Measurement of Work Engagement With a Short Questionnaire , 2006 .

[9]  Nathan P. Podsakoff,et al.  A Meta-Analytic Test of the Challenge Stressor–Hindrance Stressor Framework: An Explanation for Inconsistent Relationships Among Stressors and Performance , 2005 .

[10]  W. Schaufeli,et al.  A Cross-National Study on the Psychometric Quality of the Italian Version of the Dutch Work Addiction Scale (DUWAS) , 2017 .

[11]  W. Velicer Determining the number of components from the matrix of partial correlations , 1976 .

[12]  A. Macaskill,et al.  A qualitative study of the UK academic role: positive features, negative aspects and associated stressors in a mainly teaching-focused university , 2017 .

[13]  S. Viotti,et al.  Evaluating the Psychometric Properties of the Maslach Burnout Inventory-Human Services Survey (MBI-HSS) among Italian Nurses: How Many Factors Must a Researcher Consider? , 2014, PloS one.

[14]  B. Clark,et al.  The Higher Education System , 2023 .

[15]  Shirley Fisher,et al.  Stress in Academic Life: The Mental Assembly Line , 1994 .

[16]  M. C. Hill,et al.  Evaluating Model Fit , 2005 .

[17]  James A. Perkins,et al.  The Higher Education System: Academic Organization in Cross-National Perspective , 1985 .

[18]  W. Schaufeli,et al.  Psychometric Properties of the Italian Version of the Utrecht Work Engagement Scale (UWES-9) A Cross-Cultural Analysis , 2010 .

[19]  Paul E. Spector,et al.  Faculty Stressors, Job Satisfaction, and Psychological Distress Among University Teachers in Hong Kong: The Role of Locus of Control , 2000 .

[20]  I. Šolcová,et al.  Occupational Well-being Among University Faculty: A Job Demands-Resources Model , 2018 .

[21]  A. Strauss,et al.  Basics of qualitative research: Grounded theory procedures and techniques. , 1993 .

[22]  C. Hood The “new public management” in the 1980s: Variations on a theme , 1995 .

[23]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[24]  A. Satorra,et al.  A scaled difference chi-square test statistic for moment structure analysis , 1999 .

[25]  R. Jarrett,et al.  Occupational Stress in University Staff , 2001 .

[26]  Gail Kinman,et al.  Pressure Points: A review of research on stressors and strains in UK academics , 2001 .

[27]  Craig McInnis,et al.  Changing Academic Work Roles: The everyday realities challenging quality in teaching , 2000 .

[28]  D. Streiner Factors Affecting Reliability of Interpretations of Scree Plots , 1998 .

[29]  Fred B. Bryant,et al.  Principles and Practice of Scaled Difference Chi-Square Testing , 2012 .

[30]  Con Stough,et al.  Occupational stress in Australian university staff: results from a national survey , 2003 .

[31]  Jisun Jung,et al.  Academics job satisfaction and job stress across countries in the changing academic environments , 2014 .

[32]  Keith F Widaman,et al.  Confirmatory factor analysis and item response theory: two approaches for exploring measurement invariance. , 1993, Psychological bulletin.

[33]  W. Schaufeli,et al.  Being Driven to Work Excessively Hard , 2009 .

[34]  F. Jones,et al.  A Life Beyond Work? Job Demands, Work-Life Balance, and Wellbeing in UK Academics , 2008 .

[35]  A. van den Broeck,et al.  Not all job demands are equal: Differentiating job hindrances and job challenges in the Job Demands–Resources model , 2010 .

[36]  Marika Melin,et al.  New work demands in higher education. A study of the relationship between excessive workload, coping strategies and subsequent health among academic staff , 2014 .

[37]  P. Hind,et al.  Occupational Stress, Burnout and Job Status in Female Academics , 1998 .

[38]  M. V. Perea,et al.  University Faculty and Work-Related Well-being: The Importance of the Triple Work Profile , 2010 .

[39]  H. Akaike Factor analysis and AIC , 1987 .

[40]  R. Burke Workaholism in organizations : psychological and physical well-being consequences , 2000 .

[41]  A. Bakker,et al.  The job demands-resources model of burnout. , 2001, The Journal of applied psychology.

[42]  Charles B. Crawford,et al.  Note: Inter-Rater Reliability of Scree Test and Mean Square Ratio Test of Number of Factors , 1979 .

[43]  M. Browne,et al.  Single Sample Cross-Validation Indices for Covariance Structures. , 1989, Multivariate behavioral research.

[44]  Shelley Paewai,et al.  Academic Staff Workloads and Job Satisfaction: Expectations and values in academe , 2006 .

[45]  B P O'Connor,et al.  SPSS and SAS programs for determining the number of components using parallel analysis and Velicer’s MAP test , 2000, Behavior research methods, instruments, & computers : a journal of the Psychonomic Society, Inc.

[46]  C. Webb,et al.  Occupational stress in UK higher education institutions: a comparative study of all staff categories , 2005 .

[47]  João M. Santos Development and Validation of the Multi-dimensional University Research Workplace Inventory (MDURWI) , 2017, Higher Education Policy.