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Assessing dimensionality using Rasch rating scale model
Kun Jacob XU, Magdalena Mo Ching MOK
Analytics\Assessment Research Centre (ARC)
Department of Psychology (PS)
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Dive into the research topics of 'Assessing dimensionality using Rasch rating scale model'. Together they form a unique fingerprint.
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Keyphrases
Rasch Measurement
100%
Number of Dimensions
100%
Standardized Residuals
100%
Rasch Model
50%
Rating Scales
50%
Monte Carlo Simulation
50%
Principal Coordinate Analysis (PCoA)
50%
Educational Tests
50%
Psychological Tests
50%
First Eigenvalue
50%
IRT Model
50%
Large Sample Size
50%
Multidimensional Item Response Theory
50%
Dimension 2
50%
Type I Error
50%
Polytomous Data
50%
High-dimensional Space
50%
Mathematics
Residuals
100%
Principal Component Analysis
100%
Scale Model
100%
Rasch Model
50%
Eigenvalue
50%
Cut Point
50%
Monte Carlo
50%
Dimensional Space
50%
Nil
50%
Economics, Econometrics and Finance
Principal Components
100%
Item Response Theory
100%
Monte Carlo Simulation
100%
Psychology
Rating Scale
100%
Principal Component Analysis
50%