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A bi-factor model of cultural intelligence: comparison with four-factor and hierarchical models

In: Handbook of Cultural Intelligence Research

Author

Listed:
  • Thomas Rockstuhl
  • Linn Van Dyne

Abstract

The bi-factor CQ model reconciles the longstanding debate in the CQ literature over whether CQ is better conceptualized as a correlated four-factor model or a 2nd-order single-factor model. This chapter highlights key conceptual differences between these two CQ models and the recently introduced bi-factor model and compares them empirically. Results, based on 455 members working in multicultural teams, show that (a) the bi-factor CQ model fits the empirical data better than the four-factor and 2nd-order CQ models, (b) the holistic (i.e., general) CQ factor predicts observer-rated task performance, and (c) metacognitive and behavioral CQ predict task performance, over and above the holistic CQ factor. These findings strengthen the generalizability of prior meta-analytic findings supporting a bi-factor CQ model and provide a roadmap for researchers to apply the bi-factor CQ model in primary studies. We discuss the implications of these findings for theorizing about CQ and suggest directions for future research.

Suggested Citation

  • Thomas Rockstuhl & Linn Van Dyne, 2023. "A bi-factor model of cultural intelligence: comparison with four-factor and hierarchical models," Chapters, in: David C. Thomas & Yuan Liao (ed.), Handbook of Cultural Intelligence Research, chapter 7, pages 89-104, Edward Elgar Publishing.
  • Handle: RePEc:elg:eechap:20750_7
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