Integrating QCA and HLM for Multilevel Research on Organizational Configurations
开发了一种整合定性比较分析（QCA）与分层线性模型（HLM）的多层次混合方法，以Miles和Snow的通用战略类型为例，为组织构型研究提供跨宏观与微观分析的强推论工具。
Mixed methods systematically combine multiple research approaches—either in basic parallel, sequential, or conversion designs or in more complex multilevel or integrated designs. Multilevel mixed designs are among the most valuable and dynamic. Yet current multilevel designs, which are rare in the mixed methods literature, do not strongly integrate qualitative and quantitative approaches for use in one study. This lack of integration is particularly problematic for research in the organization sciences because of the variety of multilevel concepts that researchers study. In this article, we develop a multilevel mixed methods technique that integrates qualitative comparative analysis (QCA) with hierarchical linear modeling (HLM). This technique is among the first of the multilevel ones to integrate qualitative and quantitative methods in a single research design. Using Miles and Snow’s typology of generic strategies as an example of organizational configurations, we both illustrate how researchers may apply this technique and provide recommendations for its application and potential extensions. Our technique offers new opportunities for bridging macro and micro inquiries by developing strong inferences for testing, refining, and extending multilevel theories of organizational configurations.