Multilevel Modeling is a concise, practical guide to building models
for multilevel and longitudinal data. Author Douglas A. Luke begins by
providing a rationale for multilevel models; outlines the basic
approach to estimating and evaluating a two-level model; discusses the
major extensions to mixed-effects models; and provides advice for
where to go for instruction in more advanced techniques. Rich with
examples, the Second Edition expands coverage of longitudinal methods,
diagnostic procedures, models of counts (Poisson), power analysis,
cross-classified models, and adds a new section added on presenting
modeling results. A website for the book includes the data and the
statistical code (both R and Stata) used for all of the presented
analyses.
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Produktdetaljer
ISBN
9781544310299
Publisert
2019
Utgave
2. utgave
Utgiver
Vendor
SAGE Publications, Inc
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter