Explaining Interaction Effects within and across Levels of Analysis

Ulf Andersson, Alvaro Cuervo-Cazurra, Bo Bernhard Nielsen

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Many manuscripts submitted to the Journal of International Business Studies propose an interaction effect in their models in an effort to explain the complexity and contingency of relationships across borders. In this article, we provide guidance on how best to explain the interaction effects theoretically within and across levels of analysis. First, in the case of interactions within the same level of
    analysis, we suggest that authors provide an explanation of the mechanisms that link the main independent variable to the dependent variable, and then explain how the interaction variable modifies these mechanisms.Moreover, to ensure that the arguments are theoretically complete, we suggest that authors theoretically rule out the potential reverse interaction effect between the main variable and moderating variable. Second, in the case of interactions across levels of analysis, we suggest that authors identify the cross-level nature of the moderating relationships, specify the level of analysis of themain relationship and the nested nature of the cross-level influences, and theoretically explain these cross-level influences.
    Additionally, we suggest that authors pay particular attention to nesting in order to theoretically rule out reverse interactions.
    Original languageEnglish
    JournalJournal of International Business Studies
    Volume45
    Issue number9
    Pages (from-to)1063–1071
    ISSN0047-2506
    DOIs
    Publication statusPublished - Dec 2014

    Cite this

    Andersson, Ulf ; Cuervo-Cazurra, Alvaro ; Nielsen, Bo Bernhard. / Explaining Interaction Effects within and across Levels of Analysis. In: Journal of International Business Studies. 2014 ; Vol. 45, No. 9. pp. 1063–1071.
    @article{c2e1a873b3604c60b729b37c9a091db8,
    title = "Explaining Interaction Effects within and across Levels of Analysis",
    abstract = "Many manuscripts submitted to the Journal of International Business Studies propose an interaction effect in their models in an effort to explain the complexity and contingency of relationships across borders. In this article, we provide guidance on how best to explain the interaction effects theoretically within and across levels of analysis. First, in the case of interactions within the same level ofanalysis, we suggest that authors provide an explanation of the mechanisms that link the main independent variable to the dependent variable, and then explain how the interaction variable modifies these mechanisms.Moreover, to ensure that the arguments are theoretically complete, we suggest that authors theoretically rule out the potential reverse interaction effect between the main variable and moderating variable. Second, in the case of interactions across levels of analysis, we suggest that authors identify the cross-level nature of the moderating relationships, specify the level of analysis of themain relationship and the nested nature of the cross-level influences, and theoretically explain these cross-level influences. Additionally, we suggest that authors pay particular attention to nesting in order to theoretically rule out reverse interactions.",
    keywords = "Interaction effects, Moderation effects, Cross-level interaction, International business, Theory development",
    author = "Ulf Andersson and Alvaro Cuervo-Cazurra and Nielsen, {Bo Bernhard}",
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    Explaining Interaction Effects within and across Levels of Analysis. / Andersson, Ulf; Cuervo-Cazurra, Alvaro; Nielsen, Bo Bernhard.

    In: Journal of International Business Studies, Vol. 45, No. 9, 12.2014, p. 1063–1071.

    Research output: Contribution to journalJournal articleResearchpeer-review

    TY - JOUR

    T1 - Explaining Interaction Effects within and across Levels of Analysis

    AU - Andersson, Ulf

    AU - Cuervo-Cazurra, Alvaro

    AU - Nielsen, Bo Bernhard

    PY - 2014/12

    Y1 - 2014/12

    N2 - Many manuscripts submitted to the Journal of International Business Studies propose an interaction effect in their models in an effort to explain the complexity and contingency of relationships across borders. In this article, we provide guidance on how best to explain the interaction effects theoretically within and across levels of analysis. First, in the case of interactions within the same level ofanalysis, we suggest that authors provide an explanation of the mechanisms that link the main independent variable to the dependent variable, and then explain how the interaction variable modifies these mechanisms.Moreover, to ensure that the arguments are theoretically complete, we suggest that authors theoretically rule out the potential reverse interaction effect between the main variable and moderating variable. Second, in the case of interactions across levels of analysis, we suggest that authors identify the cross-level nature of the moderating relationships, specify the level of analysis of themain relationship and the nested nature of the cross-level influences, and theoretically explain these cross-level influences. Additionally, we suggest that authors pay particular attention to nesting in order to theoretically rule out reverse interactions.

    AB - Many manuscripts submitted to the Journal of International Business Studies propose an interaction effect in their models in an effort to explain the complexity and contingency of relationships across borders. In this article, we provide guidance on how best to explain the interaction effects theoretically within and across levels of analysis. First, in the case of interactions within the same level ofanalysis, we suggest that authors provide an explanation of the mechanisms that link the main independent variable to the dependent variable, and then explain how the interaction variable modifies these mechanisms.Moreover, to ensure that the arguments are theoretically complete, we suggest that authors theoretically rule out the potential reverse interaction effect between the main variable and moderating variable. Second, in the case of interactions across levels of analysis, we suggest that authors identify the cross-level nature of the moderating relationships, specify the level of analysis of themain relationship and the nested nature of the cross-level influences, and theoretically explain these cross-level influences. Additionally, we suggest that authors pay particular attention to nesting in order to theoretically rule out reverse interactions.

    KW - Interaction effects

    KW - Moderation effects

    KW - Cross-level interaction

    KW - International business

    KW - Theory development

    U2 - 10.1057/jibs.2014.50

    DO - 10.1057/jibs.2014.50

    M3 - Journal article

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    JO - Journal of International Business Studies

    JF - Journal of International Business Studies

    SN - 0047-2506

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    ER -