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Multilevel modeling for longitudinal data: concepts and applications

Author

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  • Joseph F. Hair Jr.
  • Luiz Paulo Fávero

Abstract

Purpose - This paper aims to discuss multilevel modeling for longitudinal data, clarifying the circumstances in which they can be used. Design/methodology/approach - The authors estimate three-level models with repeated measures, offering conditions for their correct interpretation. Findings - From the concepts and techniques presented, the authors can propose models, in which it is possible to identify the fixed and random effects on the dependent variable, understand the variance decomposition of multilevel random effects, test alternative covariance structures to account for heteroskedasticity and calculate and interpret the intraclass correlations of each analysis level. Originality/value - Understanding how nested data structures and data with repeated measures work enables researchers and managers to define several types of constructs from which multilevel models can be used.

Suggested Citation

  • Joseph F. Hair Jr. & Luiz Paulo Fávero, 2019. "Multilevel modeling for longitudinal data: concepts and applications," RAUSP Management Journal, Emerald Group Publishing Limited, vol. 54(4), pages 459-489, September.
    • Handle: RePEc:eme:rauspp:rausp-04-2019-0059
    DOI: 10.1108/RAUSP-04-2019-0059
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    Cited by:

    1. Mustafa K. Yilmaz & Umit Hacioglu & Ekrem Tatoglu & Mine Aksoy & Selman Duran, 2023. "Measuring the impact of board gender and cultural diversity on corporate governance and social performance: evidence from emerging markets," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 36(2), pages 2106503-210, December.
    2. Sebastiano Cupertino & Gianluca Vitale, 2024. "Exploring the nexus between corporate digitalisation and environmental sustainability: The moderating role of slack resources," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2024(1), pages 87-108.
    3. Toger, Marina & Türk, Umut & Östh, John & Kourtit, Karima & Nijkamp, Peter, 2023. "Inequality in leisure mobility: An analysis of activity space segregation spectra in the Stockholm conurbation," Journal of Transport Geography, Elsevier, vol. 111(C).
    4. Zhang, Wenjia & Liu, Chengcheng & Zhang, Hongmou, 2023. "Public acceptance of congestion pricing policies in Beijing: The roles of neighborhood built environment and air pollution perception," Transport Policy, Elsevier, vol. 143(C), pages 106-120.
    5. Emrah Oney & Iman Aghaei, 2024. "Consumer complaint intentions: the impact of general and specific self-confidence," Journal of Marketing Analytics, Palgrave Macmillan, vol. 12(2), pages 390-410, June.
    6. Chau Minh Nguyen & Marcelo Vinhal Nepomuceno & Yany Grégoire & Renaud Legoux, 2024. "Striking the Right Notes: Long- and Short-Term Financial Impacts of Musicians’ Charity Advocacy Versus Other Signaling Types," Journal of Business Ethics, Springer, vol. 193(1), pages 217-233, August.

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