Not logged in.

Contribution Details

Type Journal Article
Scope Discipline-based scholarship
Title Integrating QCA and HLM for Multilevel Research on Organizational Configurations
Organization Unit
  • Johannes Meuer
  • Christian Rupietta
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
Journal Title Organizational Research Methods
Publisher Sage Publications Ltd.
Geographical Reach international
ISSN 1094-4281
Volume 20
Number 2
Page Range 324 - 342
Date 2017
Abstract Text 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.
Digital Object Identifier 10.1177/1094428116665465
Other Identification Number merlin-id:13792
Export BibTeX