Tackling missing data in PLS-SEM: strategies and insights for business research

IF 9.8 1区管理学 Q1 BUSINESS

Journal of Business Research Pub Date : 2025-10-03 DOI:10.1016/j.jbusres.2025.115739

Yide Liu , Wynne W. Chin , Jun-Hwa Cheah , Joseph F. Hair , Chan Lyu

引用次数: 0

Abstract

This study provides a practical guide for handling missing data in partial least squares structural equation modeling (PLS-SEM), a prominent multivariate technique that is widely used in business research. We compare the strengths and limitations of different missing data handling techniques, emphasizing the importance of selecting appropriate methods to enhance the accuracy and reliability of PLS-SEM analyses. Furthermore, we introduce an innovative approach for dealing with not missing at random (NMAR) data by combining imputation with subsequent weighting. By demonstrating the practical effects of various treatment strategies through empirical case studies and a comprehensive simulation study, this research offers meaningful insights and pragmatic guidelines for business researchers dealing with missing data in PLS-SEM.

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处理PLS-SEM中的缺失数据：商业研究的策略和见解

本研究为偏最小二乘结构方程模型（PLS-SEM）中缺失数据的处理提供了实用指南，PLS-SEM是一种在商业研究中广泛应用的重要多变量建模技术。我们比较了不同缺失数据处理技术的优势和局限性，强调了选择合适的方法来提高PLS-SEM分析的准确性和可靠性的重要性。此外，我们引入了一种创新的方法来处理非随机缺失（NMAR）数据，该方法将插值与后续加权相结合。本研究通过实证案例研究和综合模拟研究，展示了各种处理策略的实际效果，为商业研究人员处理PLS-SEM中的缺失数据提供了有意义的见解和实用指南。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Business Research BUSINESS-

CiteScore

20.30

自引率

10.60%

发文量

956

期刊介绍： The Journal of Business Research aims to publish research that is rigorous, relevant, and potentially impactful. It examines a wide variety of business decision contexts, processes, and activities, developing insights that are meaningful for theory, practice, and/or society at large. The research is intended to generate meaningful debates in academia and practice, that are thought provoking and have the potential to make a difference to conceptual thinking and/or practice. The Journal is published for a broad range of stakeholders, including scholars, researchers, executives, and policy makers. It aids the application of its research to practical situations and theoretical findings to the reality of the business world as well as to society. The Journal is abstracted and indexed in several databases, including Social Sciences Citation Index, ANBAR, Current Contents, Management Contents, Management Literature in Brief, PsycINFO, Information Service, RePEc, Academic Journal Guide, ABI/Inform, INSPEC, etc.