In this diary study, we examined the associations between daily work-related smartphone use and daily psychological detachment and daily work-related exhaustion within a group of smartphone owners. In addition, we studied the role of the perceived segmentation norm at the workplace as a moderator of the link between work-related smartphone use and detachment. A total of 70 employees using smartphones on initiative of their employer completed a diary questionnaire on 4 successive workdays (N = 268 data points). We hypothesized that work-related smartphone use is negatively related to psychological detachment and that psychological detachment, in turn, is negatively related to work-related exhaustion. Finally, we expected that especially employees who perceive a high segmentation norm at their workplace have difficulties to psychologically detach from work on days that they use their smartphone more intensively. Overall, the results of multilevel analyses supported these hypotheses. The findings emphasize the importance of a clear organizational policy regarding work-related smartphone use outside of work hours.

Group-level constructs are often derived from individual-level data. This procedure requires a composition model, specifying how the lower level data can be combined to compose the higher level construct. Two common composition methods are direct consensus composition, where items refer to the individual, and referent-shift consensus composition, where items refer to the group. The use and selection of composition methods is subject to a number of problems, calling for more systematic work on the empirical properties of and distinction between constructs composed by different methods. To facilitate and encourage such work, the authors present a methodological framework for addressing the distinction between and the baseline psychometric quality of composed group constructs, illustrated by an empirical example in the group job-design domain. The framework primarily represents a developmental tool with applications in multilevel theory building and scale construction, but also in meta-analysis or secondary analysis, and more general, the validation of group constructs.

Updating and extending the work of O'Leary-Kelly, Martocchio, and Frink (1994), with this meta-analysis on goal setting and group performance we show that specific difficult goals yield considerably higher group performance compared with nonspecific goals (d = 0.80 ± 0.35, k = 23 effect sizes). Moderately difficult and easy goals were also associated with performance benefits relative to nonspecific goals, but these effects were smaller. The overall effect size for all group goals was d = 0.56 ± 0.19 (k = 49). Unexpectedly, task interdependence, task complexity, and participation did not moderate the effect of group goals. Our inventory of multilevel goals in interdependent groups indicated that the effect of individual goals in groups on group performance was contingent upon the focus of the goal: "Egocentric" individual goals, aimed at maximizing individual performance, yielded a particularly negative group-performance effect (d = -1.75 ± 0.60, k = 6), whereas "groupcentric" goals, aimed at maximizing the individual contribution to the group's performance, showed a positive effect (d = 1.20 ± 1.03, k = 4). These findings demonstrate that group goals have a robust effect on group performance. Individual goals can also promote group performance but should be used with caution in interdependent groups. Future research might explore the role of multilevel goals for group performance in more detail. The striking lack of recent field studies in organizational settings that emerged from our brief review of trends in group goal-setting research should be taken into account when designing future studies in this domain.

HELEEN VAN MIERLO Erasmus University Rotterdam ARJAN VAN DAM Fidare Hilversum MARISE PH. BORN Erasmus University RotterdamFinding reemployment after job loss is a complex and difficult task that requires extensive motivation and self-regulation. This study aimed to examine whether improving unemployed job seekers' cognitive selfregulation can increase reemployment probabilities. Based on the goal orientation literature, we developed a learning-goal orientation (LGO) training, which focused on goal setting aimed at improving rather than demonstrating competences and creating a climate of development and improvement. We predicted that the LGO training would influence peoples' goal orientation towards job seeking, which in turn would relate to learning from failure, strategy awareness, and self-efficacy, leading to job-search intentions, resulting in increased reemployment status. Using a 2-group quasi-experimental design with 223 unemployed job seekers, we found support for these predictions, except for self-efficacy. The results suggest that an LGO training is a promising tool to improve self-regulation in and effectiveness of job search.