Legate, Amanda E.Amanda E.LegateRingle, Christian M.Christian M.RingleHair, Joseph F.Joseph F.Hair2023-12-132023-12-132023Human Resource Development Quarterly (in Press): (2023)https://hdl.handle.net/11420/44597In line with calls to stimulate methodological diversity and support evidence-based human resource development (HRD) through quantitative competencies, we present a methods demonstration leveraging open-source tools and lesser-known quantitative research methods to support the HRD research community and applied HRD in the workplace. In this paper, we provide an informative introduction to partial least squares structural equation modeling (PLS-SEM). We discuss PLS-SEM application trends in the field of HRD, present key characteristics of the method, and demonstrate up-to-date metrics and evaluation guidelines using an illustrative model. Our PLS-SEM demonstration and explanations can serve as a valuable resource for practitioners concerned with substantiating results for organizational stakeholders and support researchers in methodological decision-making while avoiding common pitfalls associated with less familiar methods. Our step-by-step demonstration is conducted in open-source software and accompanied by explicitly coded operations so that readers can easily replicate the illustrative analyses presented.en1044-80042023causal-predictive modelingHRDhuman resource developmentmediation analysispartial least squares structural equation modelingPLS-SEMR statistical softwareSEMinRManagement, Public RelationsJournal Article10.1002/hrdq.21517Journal Article