The challenge of longitudinal information: a "guided tour" on hierarchical modeling, tracking and missing information with a set of data from Muzambinho study

The main aim of this study is to present a tutorial to Sport Sciences and Physical Education researchers when facing challenges emerging from longitudinal data analysis. Based on a real data set from Muzambinho mixed-longitudinal study, we shall deal with three main concerns: 1) to build a developme...

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Detalhes bibliográficos
Autor principal: Maia, José António Ribeiro (author)
Outros Autores: Basso, Luciano (author), Oliveira, Jorge Alberto de (author), Forjaz, Cláudia Lúcia de Moraes (author), Prista, António (author), Tani, Go (author)
Formato: article
Idioma:por
Publicado em: 2010
Assuntos:
Modelação hierárquica
Dados omissos
Tracking
Hierarchical modeling
Missing data
Texto completo:https://doi.org/10.1590/S1807-55092010000300012
País:Brasil
Oai:oai:revistas.usp.br:article/16777
Descrição
Resumo:The main aim of this study is to present a tutorial to Sport Sciences and Physical Education researchers when facing challenges emerging from longitudinal data analysis. Based on a real data set from Muzambinho mixed-longitudinal study, we shall deal with three main concerns: 1) to build a developmental view based on hierarchical or multilevel modeling; 2) to present two solutions to the missing data problem; 3) to search for stability of interindividual differences in intraindividual change (i.e., tracking). In each of these main issues questions will be asked whose answers will be presented alongside with main results coming from different statistical softwares used.

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