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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
Multilevel Modeling
100%
Best Practice
50%
Latent Class Model
44%
Causal Inference
42%
Robust Methods
37%
Fixed Effects
37%
Linking
33%
Missing Data
32%
Random Effects
32%
Model Selection
31%
Notation
30%
Divides
30%
Software
28%
Modeling
20%
Range of data
19%
Framework
18%