IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v145y2022icp905-919.html
   My bibliography  Save this article

Assessing moderator effects, main effects, and simple effects without collinearity problems in moderated regression models

Author

Listed:
  • Park, Sang-June
  • Yi, Youjae

Abstract

It is common to assess moderation effects with moderated regression analysis. If the interaction effect is detected by moderated regression analysis, one may subsequently assess the simple effect of the focal predictor with simple slopes analysis. However, the two traditional analyses may suffer from considerable correlations among predictors. These correlations lead to correlations among the individual effects of predictors and thus may make it difficult to detect the interaction effect, the simple effect, and the main effects of the focal predictor and the moderator with the two traditional analyses. This paper suggests alternative analyses assessing the various effects without the collinearity problem. The alternative analyses provide the statistics for the various effects derived from the confidence-interval estimate for the overall effect size of predictors. In addition, this paper presents a practical guideline for assessing the various effects with the traditional analyses as well as the alternative analyses.

Suggested Citation

  • Park, Sang-June & Yi, Youjae, 2022. "Assessing moderator effects, main effects, and simple effects without collinearity problems in moderated regression models," Journal of Business Research, Elsevier, vol. 145(C), pages 905-919.
    • Handle: RePEc:eee:jbrese:v:145:y:2022:i:c:p:905-919
    DOI: 10.1016/j.jbusres.2022.03.018
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296322002466
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jbusres.2022.03.018?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Daryanto, Ahmad & Lukas, Bryan A., 2022. "Controlling for spurious moderation in marketing: A review of statistical techniques," Journal of Business Research, Elsevier, vol. 144(C), pages 180-192.
    2. Raj Echambadi & James D. Hess, 2007. "Mean-Centering Does Not Alleviate Collinearity Problems in Moderated Multiple Regression Models," Marketing Science, INFORMS, vol. 26(3), pages 438-445, 05-06.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Park, Sang-June & Yi, Youjae, 2023. "Decomposing main effects in moderated regression models," Journal of Business Research, Elsevier, vol. 157(C).
    2. Aditya Aji Prabhawa & Iman Harymawan, 2022. "Readability of Financial Footnotes, Audit Fees, and Risk Management Committee," Risks, MDPI, vol. 10(9), pages 1-21, August.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Schilling, Melissa A. & Green, Elad, 2011. "Recombinant search and breakthrough idea generation: An analysis of high impact papers in the social sciences," Research Policy, Elsevier, vol. 40(10), pages 1321-1331.
    2. Jing Zhang & Justin Tan & Poh Wong, 2015. "When does investment in political ties improve firm performance? The contingent effect of innovation activities," Asia Pacific Journal of Management, Springer, vol. 32(2), pages 363-387, June.
    3. Thaddeus Neururer & George Papadakis & Edward J. Riedl, 2016. "Tests of investor learning models using earnings innovations and implied volatilities," Review of Accounting Studies, Springer, vol. 21(2), pages 400-437, June.
    4. Alex Eapen & Rekha Krishnan, 2019. "Transferring Tacit Know-How: Do Opportunism Safeguards Matter for Firm Boundary Decisions?," Organization Science, INFORMS, vol. 30(4), pages 715-734, July.
    5. Nicolas A. Zacharias & Ruth Maria Stock & Subin Im, 2017. "Strategic Givens In New Product Development: Understanding Curvilinear Effects On New Product Performance," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(01), pages 1-31, January.
    6. Lihong Qian & Rajshree Agarwal & Glenn Hoetker, 2012. "Configuration of Value Chain Activities: The Effect of Pre-Entry Capabilities, Transaction Hazards, and Industry Evolution on Decisions to Internalize," Organization Science, INFORMS, vol. 23(5), pages 1330-1349, October.
    7. Marina Anna Schmitz & Fabian Jintae Froese & Anna Katharina Bader, 2018. "Organizational cynicism in multinational corporations in China," Asia Pacific Business Review, Taylor & Francis Journals, vol. 24(5), pages 620-637, October.
    8. Moumen, Néjia & Ben Othman, Hakim & Hussainey, Khaled, 2015. "The value relevance of risk disclosure in annual reports: Evidence from MENA emerging markets," Research in International Business and Finance, Elsevier, vol. 34(C), pages 177-204.
    9. Vivian Zheng, Xu & Jenny Ji, Li & Su, Chenting, 2020. "Mitigating the Negative Effects of Regional Clustering in Franchising: The Roles of Governance Mechanisms," Journal of Retailing, Elsevier, vol. 96(3), pages 434-444.
    10. Kim Wang, 2017. "Technology Deployment By Late Movers," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-25, May.
    11. Yi Liu & Tiezhu Shi & Zeying Lan & Kai Guo & Dachang Zhuang & Xiangyang Zhang & Xiaojin Liang & Tianqi Qiu & Shengfei Zhang & Yiyun Chen, 2024. "Estimating the Soil Copper Content of Urban Land in a Megacity Using Piecewise Spectral Pretreatment," Land, MDPI, vol. 13(4), pages 1-21, April.
    12. Burks, Jeffrey J. & Randolph, David W. & Seida, Jim A., 2019. "Modeling and interpreting regressions with interactions," Journal of Accounting Literature, Elsevier, vol. 42(C), pages 61-79.
    13. Wang, I. Kim & Seidle, Russell, 2017. "The degree of technological innovation: A demand heterogeneity perspective," Technological Forecasting and Social Change, Elsevier, vol. 125(C), pages 166-177.
    14. Adomako, Samuel & Amankwah-Amoah, Joseph & Chu, Irene, 2020. "Entrepreneurs’ passion, home country’s institutional voids and small firm internationalization," Research in International Business and Finance, Elsevier, vol. 53(C).
    15. Ganesh Pillai, Rajani & Bindroo, Vishal, 2014. "The moderating roles of perceived complementarity and substitutability on the perceived manufacturing difficulty–extension attitude relationship," Journal of Business Research, Elsevier, vol. 67(7), pages 1353-1359.
    16. Jose Arias-Pérez & Geovanny Perdomo-Charry & Carlos Castaño-Ríos, 2017. "Not-Invented-Here Syndrome And Innovation Performance: The Confounding Effect Of Innovation Capabilities As Organisational Routines In Service Firms," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(01), pages 1-20, January.
    17. Homburg, Christian & Kuehnl, Christina, 2014. "Is the more always better? A comparative study of internal and external integration practices in new product and new service development," Journal of Business Research, Elsevier, vol. 67(7), pages 1360-1367.
    18. Ramkumar Janakiraman & Eunho Park & Emre M. Demirezen & Subodha Kumar, 2023. "The Effects of Health Information Exchange Access on Healthcare Quality and Efficiency: An Empirical Investigation," Management Science, INFORMS, vol. 69(2), pages 791-811, February.
    19. Germann, Frank & Lilien, Gary L. & Rangaswamy, Arvind, 2013. "Performance implications of deploying marketing analytics," International Journal of Research in Marketing, Elsevier, vol. 30(2), pages 114-128.
    20. Adomako, Samuel & Amankwah-Amoah, Joseph & Danso, Albert & Danquah, Joseph Kwadwo & Hussain, Zahid & Khan, Zaheer, 2021. "R&D intensity, knowledge creation process and new product performance: The mediating role of international R&D teams," Journal of Business Research, Elsevier, vol. 128(C), pages 719-727.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:145:y:2022:i:c:p:905-919. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.