WORKING AT THE TOP OF THEIR CAPABILITIES: HOW TEAMWORK SUPPORT ATTENUATES LEADER ROLE CONFLICT.

Objective: To understand whether team member support reduces team leader stress.

Method: In Phase 1, we used hierarchical linear modeling with survey data and administrative records from 45 Veterans Health Administration teams (73 providers and 228 associated members) to investigate how teamwork support mitigates leader stress. In Phase 2, we adopted a parallel/simultaneous mixed methods design, utilizing open- and closed-ended responses from 267 additional Veterans Health Administration providers.

The heterogeneity problem in meta-analytic structural equation modeling (MASEM) revisited: A reply to Cheung.

Yu, Downes, Carter, and O'Boyle (2016) introduce a new technique to incorporate effect size heterogeneity into meta-analytic structural equation modeling (MASEM) labeled full information meta-analytical structural equation modeling (FIMASEM). Cheung's (2018) commentary raises concerns about the viability of FIMASEM and provides its initial validation. In this reply, we briefly respond to those concerns noting how they relate to Yu et al.

The problem of effect size heterogeneity in meta-analytic structural equation modeling.

Scholars increasingly recognize the potential of meta-analytic structural equation modeling (MASEM) as a way to build and test theory (Bergh et al., 2016). Yet, 1 of the greatest challenges facing MASEM researchers is how to incorporate and model meaningful effect size heterogeneity identified in the bivariate meta-analysis into MASEM.