J21S300

<p>A simulated rated dataset for Rated IRM and Biclustering analysis.
This is a synthetic dataset generated with a known structure
(5 latent classes, 3 fields, 4 response categories with correct answers)
for demonstration and testing purposes. Each field contains 7 items.</p>

datasets

Implements comprehensive test data engineering methods as described in
Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for
engineering and processing test data: Classical Test Theory (CTT) with
reliability coefficients for continuous ability assessment; Item Response
Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information
functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank
Analysis (LRA) for ordinal clustering with automatic determination of cluster
numbers; Biclustering methods including infinite relational models for
simultaneous clustering of examinees and items without predefined cluster
numbers; and Bayesian Network Models (BNM) for visualizing inter-item
dependencies. Features local dependence analysis through LRA and biclustering,
parameter estimation, dimensionality assessment, and network structure
visualization for educational, psychological, and social science research.

Koji Kosugi 

exametrika

Test Theory Analysis and Biclustering

J21S300 function

<p>An exametrika class object with 300 students and 21 items containing
rated responses (multiple-choice with correct answers) with 4 categories</p>

J21S300: J21S300

Description

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