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sirt (version 1.5-0)

Supplementary Item Response Theory Models

Description

Supplementary item response theory models to complement existing functions in R, including multidimensional compensatory and noncompensatory IRT models, MCMC for hierarchical IRT models and testlet models, NOHARM, faceted and hierarchical rater models, ordinal IRT model (ISOP), discrete grade of membership model, latent regression models, DETECT statistic.

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Version

Install

install.packages('sirt')

Monthly Downloads

2,637

Version

1.5-0

License

GPL (>= 2)

Maintainer

Alexander Robitzsch

Last Published

March 3rd, 2015

Functions in sirt (1.5-0)

Dataset Mathematics

Person Parameter Estimation

Datasets for NOHARM Analysis

Longitudinal Dataset

Testing the ISOP Model

Clustering for Continuous Fuzzy Data

Latent Class Model for Two Exchangeable Raters and One Item

Running ConQuest From Within R

Item Parameters from Two PISA Studies

Dataset TIMSS Mathematics

marginal.truescore.reliability

True-Score Reliability for Dichotomous Data

equating.rasch.jackknife

Jackknife Equating Error in Generalized Logistic Rasch Model

class.accuracy.rasch

Classification Accuracy in the Rasch Model

MCMC Estimation of the Hierarchical IRT Model for Criterion-Referenced Measurement

mirt.specify.partable

Specify or modify a Parameter Table in mirt

Datasets from Reckase' Book Multidimensional Item Response Theory

Rating Datasets

Least Squares Distance Method of Cognitive Validation

dif.logistic.regression

Differential Item Functioning using Logistic Regression Analysis

MCMC Estimation of the Two-Parameter Normal Ogive Item Response Model

Scoring Persons and Items in the ISOP Model

Dataset with Raw Item Responses

eigenvalues.manymatrices

Computation of Eigenvalues of Many Symmetric Matrices

Maximum Likelihood Estimation of the Dirichlet Distribution

data.activity.itempars

Item Parameters Cultural Activities

rasch.jml.biascorr

Bias Correction of Item Parameters for Joint Maximum Likelihood Estimation in the Rasch model

greenyang.reliability

Reliability for Dichotomous Item Response Data Using the Method of Green and Yang (2009)

prmse.subscores.scales

Proportional Reduction of Mean Squared Error (PRMSE) for Subscale Scores

Multilevel Datasets

C-Test Datasets

Plot Method for Object of Class np.dich

Nonparametric Estimation of Conditional Covariances of Item Pairs

reliability.nonlinearSEM

Estimation of Reliability for Confirmatory Factor Analyses Based on Dichotomous Data

Dataset with Mixed Dichotomous and Polytomous Item Responses

Maximum Likelihood Estimation of Person or Group Parameters in the Generalized Partial Credit Model

Plot Function for Objects of Class mcmc.sirt

Grade of Membership Model (Joint Maximum Likelihood Estimation)

Estimation of a Discrete Distribution for Fuzzy Data (Data in Belief Function Framework)

Dataset for Invariance Testing with 4 Groups

Dataset PISA Reading

Converting a Data Frame from Wide Format in a Long Format

Functional Unidimensional Item Response Model

Person Fit Statistics for the Rasch Model

Statistical Implicative Analysis (SIA)

Polychoric Correlation

stratified.cronbach.alpha

Stratified Cronbach's Alpha

Simulate from Ramsay's Quotient Model

NOHARM Model in R

Write Coda File from an Object of Class mcmc.list

EAP Factor Score Estimation

Equating in the Generalized Logistic Rasch Model

Robust Linking of Item Intercepts

Confirmatory DETECT and polyDETECT Analysis

latent.regression.em.raschtype

Latent Regression Model for the Generalized Logistic Item Response Model and the Linear Model for Normal Responses

Some Functions for Wrapping with the mirt Package

Converting a lavaan Model into a mirt Model

Estimation of the Rasch Model with Variational Approximation

data.pirlsmissing

Dataset from PIRLS Study with Missing Responses

mcmc.3pno.testlet

3PNO Testlet Model

Nonparametric Estimation of Item Response Functions

dirichlet.simul

Simulation of a Dirichlet Distributed Vectors

Tetrachoric Correlation Matrix

data.timss07.G8.RUS

TIMSS 2007 Grade 8 Mathematics and Science Russia

Hierachical Rater Model Based on Signal Detection Theory (HRM-SDT)

monoreg.rowwise

Monotone Regression for Rows or Columns in a Matrix

Estimation of the Generalized Logistic Item Response Model, Ramsay's Quotient Model, Nonparametric Item Response Model, Pseudo-Likelihood Estimation and a Missing Data Item Response Model

Discrete (Rasch) Grade of Membership Model

dif.strata.variance

Stratified DIF Variance

automatic.recode

Automatic Method of Finding Keys in a Dataset with Raw Item Responses

Item and Person Fit Statistics for the Partial Credit Model

Joint Maximum Likelihood (JML) Estimation of the Rasch Model

rasch.pairwise.itemcluster

Pairwise Estimation of the Rasch Model for Locally Dependent Items

Pairwise Marginal Likelihood Estimation for the Probit Rasch Model

Fit Unidimensional ISOP and ADISOP Model to Dichotomous and Polytomous Item Responses

Dataset PISA Mathematics

Functions for the Beta Item Response Model

Datasets from Borg and Staufenbiel (2007)

data.liking.science

Dataset 'Liking For Science'

Estimation of a NOHARM Analysis from within R

Dataset Reading

Calculation of Quasi Monte Carlo Integration Points

PROX Estimation Method for the Rasch Model

eigenvalues.sirt

First Eigenvalues of a Symmetric Matrix

linking.haberman

Linking in the 2PL/Generalized Partial Credit Model

Multidimensional IRT Copula Model

invariance.alignment

Alignment Procedure for Linking under Approximate Invariance

R2noharm.jackknife

Jackknife Estimation of NOHARM Analysis

Calculation of the DETECT and polyDETECT Index

matrixfunctions.sirt

Some Matrix Functions

md.pattern.sirt

Response Pattern in a Binary Matrix

Simulate from Generalized Logistic Item Response Model

Dataset European Social Survey 2005

Some Datasets from McDonald's Test Theory Book

nedelsky-methods

Functions for the Nedelsky Model

Conversion of the Parameterization of the Partial Credit Model

testlet.marginalized

Marginal Item Parameters from a Testlet (Bifactor) Model

rasch.jml.jackknife1

Jackknifing the IRT Model Estimated by Joint Maximum Likelihood (JML)

mcmc.list.descriptives

Computation of Descriptive Statistics for a mcmc.list Object

Some Example Datasets for the sirt Package

wle.rasch.jackknife

Standard Error Estimation of WLE by Jackknifing

plausible.value.imputation.raschtype

Plausible Value Imputation in Generalized Logistic Item Response Model

Random Item Response Model / Multilevel IRT Model

Estimation of the Partial Credit Model using the Eigenvector Method

$Q_3$ Statistic of Yen (1984) for Testlets

Cumulative Function for the Bivariate Normal Distribution

Probabilistic Guttman Model

Simulation of the Rasch Model with Locally Dependent Responses

data.pars1.rasch

Item Parameters for Three Studies Obtained by 1PL and 2PL Estimation

Pairwise Estimation Method of the Rasch Model

person.parameter.rasch.copula

Person Parameter Estimation of the Rasch Copula Model (Braeken, 2011)

Supplementary Item Response Theory Models

unidim.test.csn

Test for Unidimensionality of CSN

Exploratory DETECT Analysis

Converting a fitted TAM Object into a mirt Object

Assessing Model Fit and Local Dependence by Comparing Observed and Expected Item Pair Correlations

Weighted Likelihood Estimation of Person Abilities

Multidimensional Noncompensatory, Compensatory and Partially Compensatory Item Response Model

Estimation of the $Q_3$ Statistic (Yen, 1984)

Conversion of Trait Scores $\theta$ into True Scores $\tau ( \theta )$

Multidimensional Latent Class 1PL and 2PL Model

Rater Facets Models with Item/Rater Intercepts and Slopes

Calculation of Probabilities and Moments for the Generalized Logistic Item Response Model

Dataset Big 5 from qgraph Package

Examples with Datasets from Eid and Schmidt (2014)

Fitting the ISOP and ADISOP Model for Frequency Tables

summary.mcmc.sirt

Summary Method for Objects of Class mcmc.sirt