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A growth model for multilevel ordinal data
Eisuke Segawa
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peer-review
10
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Mathematics
time point η
100%
Loglinear Model
100%
Monte Carlo
33%
Bayesian
33%
Data Set
33%
Markov Chain
33%
Real Data
33%
WinBUGS
33%
Simulated Data Set
33%
Missing Observation
33%
Score
33%
Variables
33%
Residuals
33%
Hierarchical Generalized Linear Models
33%
INIS
data
100%
growth
100%
levels
40%
monte carlo method
20%
simulation
20%
chains
20%
errors
20%
indicators
20%
markov process
20%
Psychology
Generalized Linear Model
100%
Latent Trait
100%
Markov Chain
100%