Using hierarchical linear modeling to investigate the moderating influence of leadership climate

When confronted with multilevel data, e.g., when individuals are nested within work groups, hierarchical linear modeling (FILM) [Bryk, A. S., & Raudenbush, S. W. (1992). Hierarchical linear models. Newbury Park, CA: SAGE Publications.] can provide a powerful analytical approach. Using the common data set and the theoretical framework presented in the introductory paper as a foundation, we begin by providing a brief introduction to the HLM analytical framework and describe the basic HLM model. Next, we develop a set of hypotheses concerning relationships among task significance, leadership climate. and hostility both within and across levels of analysis. We then describe and test a series of HLM models designed to investigate these hypotheses. Finally, we conclude with a brief discussion of the interpretation and implications of the results as well as the benefits of HLM in the context of multilevel modeling. (C) 2002 Elsevier Science Inc. All rights reserved.