Does training beget training over the life course? Cumulative advantage in work-related non-formal training participation in Germany and the UK
Continuous training participation over the career becomes ever more important. However, most existing research mainly analyzed training at single points in time. We investigate training dynamics and hence asks the question of whether training begets training. We provide two contributions to the literature: First, we analyze if previous training participation has an effect on later participation, leading to strict cumulative advantages. Second, by comparing Germany and the United Kingdom, we aim to explore whether these processes differ between countries with divergent skill formation systems. Using dynamic random effects probit models, which control for time-constant unobserved factors, and panel data (NEPS and UKHLS), we find that the accumulation of training experiences is mainly determined by initial education as well as job and firm characteristics. Still, previous participation plays a secondary yet noteworthy role, signifying dynamic growth in both countries, with higher effects for the United Kingdom. Thus, we show that only considering worker, job, and firm characteristics when analyzing inequality in training participation neglects a significant further mechanism that is rooted in previous training participation. We come to three main conclusions: (i) There is a potential amplification of early inequalities over time. Individuals who are initially on career paths that promote regular training participation are likely to keep and even enhance their advantage over time. (ii) On the other hand, our results also suggest the potential for individuals to break free from non-participation patterns. (iii) The inequality-generating pathways can be influenced by institutions.
Sascha dos Santos, German Institute for Economic Research (DIW Berlin)
Who flourishes in school? The interplay of academic self-concept and personality and its role for academic performance in middle adolescence.
Why are some students more successful than others? We combined motivational and personality predictors and jointly examined the relevance of subject-specific academic self-concepts and Big Five personality traits for academic performance. Based on data from two independent studies of German 9th graders (Study 1: N = 1,508, Mage = 14.98 years, 51% female, 38% immigrant background; Study 2: N = 19,783, Mage = 15.10 years, 50% female, 36% immigrant background), we, first, estimated latent bivariate correlations to investigate the nomological net between these socioemotional characteristics. Second, using latent moderated regression models, we examined the role of the main and interaction effects of both characteristics for academic performance levels and changes assessed by grades and test scores. Finally, we tested whether the relevance of socioemotional characteristics for academic performance differed across sociodemographic characteristics. Five findings stand out: First, we established widely consistent nomological nets between the academic self-concepts and Big Five traits, especially regarding the German self-concept. Second, the domain-specific self-concepts were consistent predictors of different academic performance measures in the respective subject. Third, beyond the established main effects of openness and conscientiousness, all Big Five traits contributed to performance in some way. Fourth, despite some inconsistencies, socioemotional characteristics formed only synergistic interaction effects. Fifth, students’ sociodemographic background was likewise important illustrating main effects on performance and foremost synergistic interaction effects with socioemotional predictors. Our results highlight the complex interplay between motivation, personality, and sociodemographic variables in predicting academic achievement and underline the need to be mindful of this interactive nature.
Mieke Johannsen, University of Hamburg