Both researchers and practitioners agree that having highly engaged employees results in individuals and organizations reaping various positive consequences related to performance and absenteeism. However, available research syntheses date from the early years of this line of research, thus cover only a small fraction (under 10%) of the available studies. The present meta-analysis updates the results of work engagement and its three facets (vigour, dedication, and absorption) on task performance and includes a substantial number of studies on absenteeism with separate analyses of longitudinal studies. A total of 179 unique correlations representing an overall sample size of N = 139,182 was examined, confirming and enhancing a positive association between work engagement and task performance (ρ = .483) and a negative association between work engagement and absenteeism (ρ = −.171). The three facets of engagement had similar effects on performance, but only vigour and dedication correlated significantly negatively with absenteeism. Work engagement is linked positively to future task performance and negatively to future absenteeism. The influence of several methodical moderators is examined. Finally, we discuss how these findings can inform research and practice in order to contribute to a more effective and healthy work environment for employees.

Semantic distance is increasingly used for automated scoring of originality on divergent thinking tasks, such as the Alternate Uses Task (AUT). Despite some psychometric support for semantic distance – including positive correlations with human creativity ratings – additional work is needed to optimize its reliability and validity, including identifying maximally reliable items (objects) for AUT administration. We identify a set of 13 AUT items based on a systematic item-selection strategy (belt, brick, broom, bucket, candle, clock, comb, knife, lamp, pencil, pillow, purse, sock). This item-set resulted in acceptable reliability estimates and was found to be moderately related to both human creativity ratings and a creative personality factor (Study 1). These results replicated in a new sample of Participants (Study 2). We conclude with the following recommendations for reliable and valid assessment of AUT originality using semantic distance: 1) make choices based on theoretical/practical considerations, 2) administer (some or all of) the 13 items from this study; 3) if other items must be used, avoid compound words as AUT items (e.g., guitar string); 4) include as many AUT items as time permits; 5) instruct participants to “be creative”; and 6) address fluency confounds that conflate idea quantity and quality (e.g., via max scoring).

This paper provides a meta-analytic update on the relationship between intelligence and divergent thinking (DT), as research on this topic has increased, and methods have diversified since Kim’s meta-analysis in 2005. A three-level meta-analysis was used to analyze 849 correlation coefficients from 112 studies with an overall N = 34,610. The overall effect showed a significant positive correlation of r = .25. This increase of the correlation as compared to Kim’s prior meta-analytic findings could be attributed to the correction of attenuation because a difference between effect sizes prior-Kim vs. post-Kim was non-significant. Different moderators such as scoring methods, instructional settings, intelligence facets, and task modality were tested together with theoretically relevant interactions between some of these factors. These moderation analyses showed that the intelligence–DT relationship can be higher (up to r = .31–.37) when employing test-like assessments coupled with be-creative instructions, and considering DT originality scores. The facet of intelligence (g vs. g_f vs. g_c) did not affect the correlation between intelligence and DT. Furthermore, we found two significant sample characteristics: (a) average sample age was positively associated with the intelligence–DT correlation, and (b) the intelligence–DT correlation decreased for samples with increasing percentages of females in the samples. Finally, inter-moderator correlations were checked to take potential confounding into account, and also publication bias was assessed. This meta-analysis provides a comprehensive picture of current research and possible research gaps. Theoretical implications, as well as recommendations for future research, are discussed.