Over the last decades, various predictors have proven relevant for job performance [e.g., general mental ability, broad personality traits, such as the Big Five]. However, prediction of job performance is far from perfect, and further potentially relevant predictors need to be investigated. Narrower personality traits, such as individuals' character strengths, have emerged as meaningfully related to different aspects of job performance. However, it is still unclear whether character strengths can explain additional variance in job performance over and above already known (...) powerful predictors. Consequently, the present study aimed at examining the incremental validity of character strengths as predictors of job performance beyond GMA and/or the Big Five traits and identifying the most important predictors of job performance out of the 24 character strengths, GMA, and the Big Five. Job performance was operationalized with multidimensional measures of both productive and counterproductive work behavior. A sample of 169 employees from different occupations completed web-based self-assessments on character strengths, GMA, and the Big Five. Additionally, the employees' supervisors provided web-based ratings of their job performance. Results showed that character strengths incrementally predicted job performance beyond GMA, the Big Five, or GMA plus the Big Five; explained variance increased up to 54.8, 43.1, and 38.4%, respectively, depending on the dimension of job performance. Exploratory relative weight analyses revealed that for each of the dimensions of job performance, at least one character strength explained a numerically higher amount of variance than GMA and the Big Five, except for individual task proactivity, where GMA exhibited the numerically highest amount of explained variance. The present study shows that character strengths are relevant predictors of job performance in addition to GMA and other conceptualizations of personality. This also highlights the role of socio-emotional skills, such as character strengths, for the understanding of performance outcomes above and beyond cognitive ability. (shrink)

This study is embedded in the theoretical framework of the engine model of positive schooling. Accordingly, relations were investigated between students’ endogenous input variables, process variables, and school achievement as an outcome variable. A sample of 300 students completed web-based self-report measures for all key variables. Specific character strengths were substantially positively related to school satisfaction, enjoyment of learning, academic self-efficacy, and/or school achievement. Exploratory mediation analyses supported the basic assumption that processes mediate the relations between character strengths as input (...) variables and school achievement as an outcome variable. The findings underline the benefit of studying inputs, processes, and outcomes simultaneously to better understand the interplay among relevant variables in the context of positive schooling. (shrink)