Multilevel modeling for longitudinal data: concepts and applications

Multilevel modeling for longitudinal data: concepts and applications

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...

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Bibliographic Details
Main Authors: Joseph F. Hair Jr., Luiz Paulo Fávero
Format: Article
Language:English
Published: Emerald Publishing 2019-12-01
Series:RAUSP Management Journal
Subjects:
multilevel modeling
longitudinal data
fixed effects
random effects
stata
Online Access:https://www.emerald.com/insight/content/doi/10.1108/RAUSP-04-2019-0059/full/pdf?title=multilevel-modeling-for-longitudinal-data-concepts-and-applications

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https://www.emerald.com/insight/content/doi/10.1108/RAUSP-04-2019-0059/full/pdf?title=multilevel-modeling-for-longitudinal-data-concepts-and-applications

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