“…Simple slopes analyses in HLM (Preacher, Curran, & Bauer, 2006) indicated that the relationship 1 At this point in time there is no consensus as to whether multilevel modeling or structural equation modeling (e.g., latent change score modeling) is a better way to model repeated measures, although in many cases these approaches lead to identical results (Curran, 2003). Because we examined the moderating effects of a betweensubjects (i.e., level 2) measure of LGO, and had missing data at the within-subject level of analysis (i.e., level 1), we preferred a multilevel modeling (HLM) approach, which was also used by other job search researchers who had a similar design (Song et al, 2009;Sun et al, 2013;Wanberg et al, 2010). Nonetheless, to examine the robustness of our findings, we conducted additional analyses, which led to similar results and conclusions as reported in the paper.…”