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The SAGE handbook of multilevel modeling
Marc A. Scott
, Jeffrey S. Simonoff, Brian D. Marx
Applied Statistics, Social Science, and Humanities
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Dive into the research topics of 'The SAGE handbook of multilevel modeling'. Together they form a unique fingerprint.
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Mathematics
Multi-Level Modeling
100%
Random Effect
33%
Robust Test
33%
Causal Inference
33%
Model Selection
33%
Psychology
Multi-Level Modeling
100%
Causal Inference
33%
Model Selection
33%
Keyphrases
Multilevel Techniques
33%
Methodologists
33%
Method Assessment
33%
Disciplinary Divide
33%
Link Theory
33%
Computer Science
Traditional Cross
100%
Engineering
Random Effect
100%
Social Sciences
Latent Class Model
25%