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Analysis of longitudinal data using the hierarchical linear model
- Source :
- Quality and Quantity. 30
- Publication Year :
- 1996
- Publisher :
- Springer Science and Business Media LLC, 1996.
-
Abstract
- The hierarchical linear model in a linear model with nested random coefficients, fruitfully used for multilevel research. A tutorial is presented on the use of this model for the analysis of longitudinal data, i.e., repeated data on the same subjects. An important advantage of this approach is that differences across subjects in the numbers and spacings of measurement occasions do not present a problem, and that changing covariates can easily be handled. The tutorial approaches the longitudinal data as measurements on populations of (subject-specific) functions.
Details
- ISSN :
- 15737845 and 00335177
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- Quality and Quantity
- Accession number :
- edsair.doi...........6c85d8e19ad8d1295e9ab9a776343ee6