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Parameter Estimation in Rasch Models for Examinee-Selected Items
Chen Wei Liu
, Wen Chung Wang
Research output
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Contribution to journal
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Article
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peer-review
2
Citations (Scopus)
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Dive into the research topics of 'Parameter Estimation in Rasch Models for Examinee-Selected Items'. Together they form a unique fingerprint.
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Mathematics
Parameter Estimation
100%
Estimation Method
100%
Data Item
100%
Conditionals
66%
Maximum Likelihood Estimation
66%
Parameters
33%
Data Set
33%
Model Theory
33%
Parameter Estimate
33%
Fixed Number
33%
Incomplete Data
33%
Ignorable Missing Data
33%
Social Sciences
Parameter
100%
Statistical Inference
100%
Design
33%
Problem
16%
Approach
16%
Standards
16%
Experiments
16%
Application
16%
Serials
16%
Simulation
16%
Objectivity
16%
Item Response Theory
16%
INIS
data
100%
design
28%
yields
28%
maximum-likelihood fit
28%
comparative evaluations
14%
simulation
14%
applications
14%
Economics, Econometrics and Finance
Estimation Theory
100%
Missing Data
66%
Item Response Theory
33%