The relationship between employment quality and work-related well-being in the European Labor Force

In this article, data from the 2005 European Working Conditions Survey are used to examine the relationship between contemporary employment arrangements and the work-related well-being of European employees. By means of a Latent Class Cluster Analysis, several features of the employment conditions and relations characterizing jobs are combined in a typology of five employment arrangements: SER-like, instrumental, precarious unsustainable, precarious intensive and portfolio jobs. These job types show clear relationships with separate indicators of job satisfaction, perceived safety climate and the ability to stay in employment, as well as with an overall indicator for work-related well-being. The findings from this multifaceted approach towards employment quality raise questions about the long-term sustainability of highly flexible and de-standardized employment arrangements.     

Change-oriented behavior: A meta-analysis of individual and job design predictors

We propose and meta-analytically test a theoretical model of individual and job-based predictors of change-oriented behaviors. Meta-analytic tests (106 effect sizes, N = 28,402) demonstrate that employee's proactive personality is a stronger predictor of change-oriented behavior than the five-factor model (FFM) personality traits of openness and extraversion. Also, enriched job characteristics (autonomy, complexity, and task significance) are more important in predicting change-oriented behavior, than un-enriched job characteristics (routinization and formalization). Finally, we establish work engagement as a mediator that provides an explanation for how and why proactive personality and enriched job characteristics predict change-oriented behavior. We provide both theoretical and empirical integration of the literature with practical implications for managing change-oriented behaviors, which are increasingly recognized as important to both organizational effectiveness and employee career management.     

Lifespan normative data (18–89 years) for Raven's Advanced Progressive Matrices Set I

Raven's Advanced Progressive Matrices (APM) Set I is a validated and brief test of fluid intelligence, ideal for use in busy clinical settings. However, there is a dearth of normative data allowing an accurate interpretation of APM scores. To address this, we present normative data from across the adult lifespan (18–89 years) for the APM Set I. Data are presented in five age cohorts (total N = 352), including two older adult cohorts (65–79 years and 80–89 years), which allows age-standardized assessment. We also present data from a validated measure of premorbid intellectual ability, which was absent from previous standardizations of longer forms of the APM. In line with previous findings, a striking age-related decline was noted, beginning relatively early in adulthood and most marked amongst lower-scoring individuals. Older adults did not demonstrate difficulty with specific test items or make an increased proportion of specific errors. Sex was not a significant predictor of performance. The data set is of particular use in the neuropsychological assessment of older adults, given the known susceptibility of fluid intelligence to both the effects of normal ageing and acquired brain injury in older age. The results are discussed in light of theories of neurological ageing.