ABSTRACT
This chapter introduces various ways to analyze practitioners’ relational coordination data. The organizational structures that are predicted to support relational coordination are typically measured at the site-level of analysis. The unit of analysis when predicting relational coordination is the individual participant within the site. According to relational coordination theory and consistent with much of the evidence thus far, relational coordination improves performance outcomes for multiple stakeholders—quality, efficiency, worker well-being, learning, and innovation—particularly in contexts that are characterized by high levels of task interdependence, uncertainty, and time constraints. In order to assess the impact of relational coordination on performance, one must also understand and measure the other factors that affect those performance outcomes. Relational coordination is a multilevel theory that operates across multiple levels of analysis, and mediation can be tested across these multiple levels of analysis, consistent with previous studies of relational coordination.
