Latent Trait Models under IRT
Anova method for fitted IRT models
Point-Biserial Correlation
Extract Estimated Loadings
Cronbach's alpha
Descriptive Statistics
Factor Scores - Ability Estimates
Fitted Values for IRT model
Goodness of Fit for Rasch Models
Generalized Partial Credit Model - Polytomous IRT
Graded Response Model - Polytomous IRT
Area under the Test or Item Information Curves
Item-Fit Statistics and P-values
Latent Trait Models for Item Response Theory Analyses
Latent Trait Model - Latent Variable Model for Binary Data
Fit of the model on the margins
Multiple Choice Items to Binary Responses
Person-Fit Statistics and P-values
Descriptive Statistics Plot method
Factor Scores - Ability Estimates Plot method
Plot method for fitted IRT models
Rasch Model
Pairwise Associations between Items using a Correlation Coefficient
Residuals for IRT models
Generate Random Responses Patterns under Dichotomous and Polytomous IR...
Summary method for fitted IRT models
Prepares Data for Test Equating
Birnbaum's Three Parameter Model
Unidimensionality Check using Modified Parallel Analysis
vcov method for fitted IRT models
Analysis of multivariate dichotomous and polytomous data using latent trait models under the Item Response Theory approach. It includes the Rasch, the Two-Parameter Logistic, the Birnbaum's Three-Parameter, the Graded Response, and the Generalized Partial Credit Models.