Multilevel models in international business research

Mark F. Peterson, Jean-Luc Arregle, Xavier Martin

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Abstract

Multiple-level (or mixed linear) modeling (MLM) can simultaneously test hypotheses at several levels of analysis (usually two or three), or control for confounding effects at one level while testing hypotheses at others. Advances in multi-level modeling allow increased precision in quantitative international business (IB) research, and open up new methodological and conceptual possibilities. However, they create new challenges, and they are still not frequently used in IB research. In this editorial we outline some key methodological issues for the uses of MLM in IB, including criteria, sample size, and measure equivalence issues. We then examine promising directions for future multilevel IB research considering comparative opportunities at nation, multiple-nation cluster, and within-nation region levels, including large multilevel databases. We also consider its promise for MNE research about semi-globalization, interorganizational effects across nations, clusters within nations, and teams and subsidiaries within MNEs.
Original languageEnglish
Title of host publicationResearch Methods in International Business
EditorsLorraine Eden, Bo B. Nielsen, Alain Verbeke
Place of PublicationCham
PublisherSpringer
Chapter23
Pages417-432
ISBN (Electronic)9783030221133
ISBN (Print)9783030221126
DOIs
Publication statusPublished - Jan 2020

Keywords

  • Multilevel models
  • Mixed linear methods
  • Levels of analysis

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