A metaBUS-enabled meta-analysis of career satisfaction

Purpose - In this study, the authors revisit the meta-analytic correlates of career satisfaction and demonstrate the use of metaBUS – a database repository of meta-analytic effect sizes and related information from the field of applied psychology. The purpose of this paper is to extend prior meta-analytic research on the topic of career satisfaction and compare the results from the metaBUS-enabled meta-analysis, with the results from meta-analyses that do not build on the repository. Design/methodology/approach - A multilevel meta-analysis was conducted on all correlates available in the metaBUS database and the approach was described in a step-by-step fashion. Findings - The demonstration reiterated some of the findings of prior meta-analyses, but also revealed considerable incongruity between the sample taken from the metaBUS database and the meta-analytic sample from studies that relied on non-metaBUS-based literature searches. Nevertheless, the results are similar in terms of the directions of the effects and the relative sizes of the effects. Research limitations/implications - The paper demonstrates the use of the metaBUS database. In addition, results suggest that meta-analyses on career satisfaction might have suffered from sample selection issues, but further research is required in order to establish the source of the sample selection incongruence. Originality/value - This is the first step-by-step demonstration of the use of metaBUS specifically for meta-analyses

Mapping methods in careers research: A review and future research agenda

Based on recent developments in science mapping techniques, this chapter presents a review of methodologies that have been used in the field of career studies. We analyzed 831 methods sections from all published articles in five careers journals between 2014 and 2018 to uncover the key methodologies in the field. Our main conclusions are that quantitative methods dominate career studies, although the specific methods applied vary considerably between the clusters we revealed. Furthermore, we found that the methods used in career studies seem to be intricately linked to the discipline that the studies can be tied to, and the journals that publish these studies. We conclude the chapter with recommendations for future research, including the use of more long-term temporal designs, more exchange of knowledge and approaches between disciplines, and an awareness of existing norms and cultures in disciplines