The integration of micro-macro variables is critical to the development of organizational communication as an academic field. Mixed-level analysis is inherent in organizational phenomena, and its neglect perpetuates the gap in and fragmentation of organizational communication theories. Three of the many ways to design mixed-level analyses are compositional, cross-level, and multi-level. These mixed-level models for integrating organizational communication research reveal a breadth of research foci reflective of the nature of the phenomena studied, researchers' interests, and the ease or difficulty of mixed-level analyses. Meta-analytic techniques, structuration, and population ecology theories are means of addressing the contradictory, paradoxical, and perplexing factors shaping communication activities and processes that supersede the investigative ability of most mixed-level designs. Steps that may help researchers involved in single-level lines of research to convert to mixed-level designs include: (1) an increased reporting of organizational characteristics such as organizational structure, technology, environment, and life cycle stage; (2) increased use of macro features as manipulative checks; and (3) seeking theoretical and empirical resolution of problems associated with equivocal instruments and with contradictory, insignificant, and/or inconclusive results. (A table representing an illustrative review of research with macro features as independent variables and communication activities as dependent variables is included; 129 references are attached.) (RS)