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A growth model for multilevel ordinal data
Eisuke Segawa
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Review article
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peer-review
11
Scopus citations
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Keyphrases
Analytic Structure
50%
Autoregressive Errors
50%
Estimation Time
50%
Factor Analytic
50%
Growth Model
100%
Hierarchical Generalized Linear Model
50%
Latent Variables
50%
Longitudinal Analysis
50%
Markov Chain
50%
Missing Items
50%
Missing Observations
50%
Monte Carlo
50%
Multi-indicator
50%
Ordinal Data
100%
Ordinal Items
50%
Residual Time
50%
Simulated Dataset
50%
Three-level
50%
WinBUGS
50%
Mathematics
Bayesian
33%
Hierarchical Generalized Linear Models
33%
Markov Chain
33%
Missing Observation
33%
Monte Carlo
33%
Ordinal Data
100%
Real Data
33%
Residuals
33%
Simulated Data Set
33%
time point η
100%
WinBUGS
33%
Psychology
Generalized Linear Model
100%
Latent Trait
100%
Longitudinal Analysis
100%
Markov Chain
100%
Engineering
Growth Analysis
100%
Ordinal Data
100%
Real Data
100%
Simulated Data
100%
Agricultural and Biological Sciences
Growth Models
100%
Linear Models
50%
Markov Chain
50%
Earth and Planetary Sciences
Markov Chain
100%