Multilevel models in international business research

M.F. Peterson, J-L. Arregle, Xavier Martin

Research output: Contribution to journalArticleScientificpeer-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
Pages (from-to)451-457
JournalJournal of International Business Studies (JIBS)
Volume43
Issue number5
Publication statusPublished - 2012

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Industry
International business research
Multilevel models
Testing
Multinational enterprises
Modeling
Confounding
Equivalence
Sample size
Multilevel modeling
Data base
International business
Hypothesis testing
Subsidiaries
Levels of analysis
Hypothesis test
Globalization

Cite this

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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.",
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Multilevel models in international business research. / Peterson, M.F.; Arregle, J-L.; Martin, Xavier.

In: Journal of International Business Studies (JIBS), Vol. 43, No. 5, 2012, p. 451-457.

Research output: Contribution to journalArticleScientificpeer-review

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