Wybrane metody analizy danych wzdłużnych
Selected methods for an analysis of longitudinal data
Author(s): Małgorzata Sej-Kolasa, Mirosława Sztemberg-LewandowskaSubject(s): Economy
Published by: Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu
Keywords: longitudinal data; functional factor analysis; SEM; growth curves models
Summary/Abstract: This paper presents the possibilities of using selected multivariate methods to analyse phenomena described with longitudinal data. Two approaches based on models with latent variables are described. The first approach is based on the structural equation model-ling and, more precisely, on the latent growth modelling. This model assumes that changes are continuous processes characterised by variables the realizations of which differ between objects. The other approach is based on the functional data analysis. One of the methods for analysing functional data is the functional principal components analysis which has the advantages of the principal components analysis and enables analysing data with dynamic nature.
Journal: Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu
- Issue Year: 2014
- Issue No: 327
- Page Range: 321-329
- Page Count: 9
- Language: Polish