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Analysis of longitudinal data using the hierarchical linear model

Quality & QuantityPublished 1 November 1996
Tom A. B. Snijders
Citations97
SJR quartileQ1
SJR score0.87
SNIP1.85

TL;DR

A tutorial is presented on the use of the hierarchical linear model in a linear model with nested random coefficients for the analysis of longitudinal data, i.e., repeated data on the same subjects, for multilevel research.

Abstract

Multilevel analysis, hierarchical linear model, random coefficients,

Keywords

MathematicsDecision SciencesBiochemistry, Genetics and Molecular Biology