Skip to main navigation
Skip to search
Skip to main content
University of Illinois Urbana-Champaign Home
LOGIN & Help
Home
Profiles
Research units
Research & Scholarship
Datasets
Honors
Press/Media
Activities
Search by expertise, name or affiliation
Restricted Latent Class Models for Nominal Response Data: Identifiability and Estimation
Ying Liu,
Steven Andrew Culpepper
Statistics
Beckman Institute for Advanced Science and Technology
Psychology
Educational Psychology
Research output
:
Contribution to journal
›
Article
›
peer-review
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Restricted Latent Class Models for Nominal Response Data: Identifiability and Estimation'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Response Data
100%
Restricted Latent Class Models
100%
Nominal Response
100%
Identifiability Condition
60%
Binary Response
40%
Multi-class Data
40%
Polytomous Response
40%
Bayesian Framework
20%
Forced-choice
20%
Multiple-choice Test
20%
Social Sciences
20%
Parameter Recovery
20%
Monte Carlo Simulation Study
20%
Mathematics
Response Data
100%
Identifiability
100%
Simulation Study
25%
Monte Carlo
25%
Bayesian
25%
Binary Response
25%
Multiple-Choice Test
25%
Engineering
Model Parameter
100%
Bayesian Framework
100%
Computer Science
Identifiability Condition
100%
Bayesian Framework
33%
Simulation Study
33%
Monte Carlo Simulation
33%
Psychology
Psychometrics
100%