- Article
22 Pages
Response-surface analyses of leadership self–other agreement (SOA) and leader–member exchange (LMX) require three distinct questions to be kept apart: observed rating differentiation, measurement validity, and parameter-specific inferential support. We propose an applied diagnostic workflow built from established methods and illustrate it with 360-degree data from two Japanese organizations contrasting in rating differentiation (125 dyads; 39 supervisors). Additional analyses for Task Thinking (124 dyads) examined missing-data specifications, coefficient-specific information concentration, small-sample inference, and design-conditional recovery. Organization A’s negative incongruence-line curvature and the between-organization curvature contrast (Δa4 = −2.630) remained supported across the examined specifications; the omnibus five-term interaction test was sensitive to missing-data handling. Under the specified generating models, Organization B’s observed design detected curvature matching Organization A’s estimate in 96.7% of replications and half-sized curvature in 45.0%; its distributional warning profile therefore did not imply low power for the larger curvature, and the causes of its nonsignificant estimate remain unresolved. The workflow separates descriptive warning signals from model-dependent estimation performance and from untested measurement explanations. It is proposed, not validated, and the directional asymmetry observed in Organization A is hypothesis-generating, because only eight dyads represented the self-overestimation side.
Adm. Sci.
23 October 2026








