“…Yet, substantive literature has emphasized that the benefits of studying theories, interventions, and intermediate processes are not limited to large-scale studies—small- to moderate-scale studies offer critical contributions to theory and social issues when they are well executed (e.g., Bodner & Bliese, 2018; Walton, 2014). In many areas of research, samples of fewer than 80 organizations are typical and samples greater than 80 may be considered prohibitively large (e.g., Schochet, 2011; Spybrook, Shi, & Kelcey, 2016). Perhaps because of the mismatch between the scale of many multilevel studies and the large-scale requirements of ML estimation in MLSEM, literature reviews have reported a widespread absence in the appropriate adjustment for measurement error (e.g., Aguinis, Edwards, & Bradley, 2017).…”