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sirt (version 0.47-36)

Supplementary Item Response Theory Models

Description

Supplementary item response theory models to complement existing functions in R.

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Version

Install

install.packages('sirt')

Monthly Downloads

2,612

Version

0.47-36

License

GPL (>= 2)

Maintainer

Alexander Robitzsch

Last Published

August 30th, 2014

Functions in sirt (0.47-36)

ccov.np

Nonparametric Estimation of Conditional Covariances of Item Pairs

data.activity.itempars

Item Parameters Cultural Activities

marginal.truescore.reliability

True-Score Reliability for Dichotomous Data

md.pattern.sirt

Response Pattern in a Binary Matrix

data.pars1.rasch

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

data.ess2005

Dataset European Social Survey 2005

greenyang.reliability

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

Classification Accuracy in the Rasch Model

mirt.wrapper

Some Functions for Wrapping with the mirt Package

sia.sirt

Statistical Implicative Analysis (SIA)

data.ml

Multilevel Datasets

R2noharm.EAP

EAP Factor Score Estimation

mle.pcm.group

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

dif.variance

DIF Variance

data.big5

Dataset Big 5 from qgraph Package

lc.2raters

Latent Class Model for Two Exchangeable Raters and One Item

data.mixed1

Dataset with Mixed Dichotomous and Polytomous Item Responses

fuzcluster

Clustering for Continuous Fuzzy Data

R2conquest

Running ConQuest From Within R

isop.test

Testing the ISOP Model

dirichlet.mle

Maximum Likelihood Estimation of the Dirichlet Distribution

fit.isop

Fitting the ISOP and ADISOP Model for Frequency Tables

dirichlet.simul

Simulation of a Dirichlet Distributed Vectors

dif.logistic.regression

Differential Item Functioning using Logistic Regression Analysis

gom.em

Discrete (Rasch) Grade of Membership Model

data.sirt

Some Example Datasets for the sirt Package

dif.strata.variance

Stratified DIF Variance

eigenvalues.manymatrices

Computation of Eigenvalues of Many Symmetric Matrices

data.mcdonald

Some Datasets from McDonald's Test Theory Book

isop.scoring

Scoring Persons and Items in the ISOP Model

equating.rasch

Equating in the Generalized Logistic Rasch Model

automatic.recode

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

stratified.cronbach.alpha

Stratified Cronbach's Alpha

detect.index

Calculation of the DETECT Index

prob.guttman

Probabilistic Guttman Model

data.noharm

Datasets for NOHARM Analysis

fuzdiscr

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

data.inv4gr

Dataset for Invariance Testing with 4 Groups

mcmc.list.descriptives

Computation of Descriptive Statistics for a mcmc.list Object

rasch.pairwise.itemcluster

Pairwise Estimation of the Rasch Model for Locally Dependent Items

linking.robust

Robust Linking of Item Intercepts

data.timss

Dataset TIMSS Mathematics

sim.rasch.dep

Simulation of the Rasch Model with Locally Dependent Responses

mcmclist2coda

Write Coda File from an Object of Class mcmc.list

rasch.va

Estimation of the Rasch Model with Variational Approximation

data.liking.science

Dataset 'Liking For Science'

rasch.jml.biascorr

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

data.reck

Datasets from Reckase' Book Multidimensional Item Response Theory

data.pirlsmissing

Dataset from PIRLS Study with Missing Responses

expl.detect

Exploratory DETECT Analysis

qmc.nodes

Calculation of Quasi Monte Carlo Integration Points

plausible.value.imputation.raschtype

Plausible Value Imputation in Generalized Logistic Item Response Model

isop

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

rasch.prox

PROX Estimation Method for the Rasch Model

matrixfunctions.sirt

Some Matrix Functions

f1d.irt

Functional Unidimensional Item Response Model

pbivnorm2

Cumulative Function for the Bivariate Normal Distribution

sim.qm.ramsay

Simulate from Ramsay's Quotient Model

noharm.sirt

NOHARM Model in R

personfit.stat

Person Fit Statistics for the Rasch Model

latent.regression.em.raschtype

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

data.pisaPars

Item Parameters from Two PISA Studies

invariance.alignment

Alignment Procedure for Linking under Approximate Invariance

data.ratings

Rating Dataset 1

R2noharm

Estimation of a NOHARM Analysis from within R

equating.rasch.jackknife

Jackknife Equating Error in Generalized Logistic Rasch Model

lavaan2mirt

Converting a lavaan Model into a mirt Model

data.wide2long

Converting a Data Frame from Wide Format in a Long Format

rasch.pml2

Pairwise Marginal Likelihood Estimation for the Probit Rasch Model

eigenvalues.sirt

First Eigenvalues of a Symmetric Matrix

rasch.jml

Joint Maximum Likelihood (JML) Estimation of the Rasch Model

testlet.marginalized

Marginal Item Parameters from a Testlet (Bifactor) Model

monoreg.rowwise

Monotone Regression for Rows or Columns in a Matrix

data.math

Dataset Mathematics

linking.haberman

Linking in the 2PL/Generalized Partial Credit Model

mcmc.2pnoh

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

data.read

Dataset Reading

sirt-package

Supplementary Item Response Theory Models

data.timss07.G8.RUS

TIMSS 2007 Grade 8 Mathematics and Science Russia

tam2mirt

Converting a fitted TAM Object into a mirt Object

wle.rasch

Weighted Likelihood Estimation of Person Abilities

rasch.mirtlc

Multidimensional Latent Class 1PL and 2PL Model

rasch.mml2

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

summary.mcmc.sirt

Summary Method for Objects of Class mcmc.sirt

mcmc.2pno.ml

Random Item Response Model / Multilevel IRT Model

plot.np.dich

Plot Method for Object of Class np.dich

person.parameter.rasch.copula

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

lsdm

Least Squares Distance Method of Cognitive Validation

mcmc.3pno.testlet

3PNO Testlet Model

polychoric2

Polychoric Correlation

pgenlogis

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

yen.q3

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

rasch.copula2

Multidimensional IRT Copula Model

plot.mcmc.sirt

Plot Function for Objects of Class mcmc.sirt

tetrachoric2

Tetrachoric Correlation Matrix

mcmc.2pno

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

reliability.nonlinearSEM

Estimation of Reliability for Confirmatory Factor Analyses Based on Dichotomous Data

np.dich

Nonparametric Estimation of Item Response Functions

rm.hrm

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

modelfit.sirt

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

rasch.pairwise

Pairwise Estimation Method of the Rasch Model

wle.rasch.jackknife

Standard Error Estimation of WLE by Jackknifing

unidim.test.csn

Test for Unidimensionality of CSN

truescore.irt

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

R2noharm.jackknife

Jackknife Estimation of NOHARM Analysis

testlet.yen.q3

$Q_3$ Statistic of Yen (1984) for Testlets

data.pisaMath

Dataset PISA Mathematics

conf.detect

Confirmatory DETECT Analysis

data.raw1

Dataset with Raw Item Responses

rm.facets

Rater Facets Models with Item/Rater Intercepts and Slopes

smirt

Multidimensional Noncompensatory, Compensatory and Partially Compensatory Item Response Model

gom.jml

Grade of Membership Model (Joint Maximum Likelihood Estimation)

prmse.subscores.scales

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

rasch.jml.jackknife1

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

sim.raschtype

Simulate from Generalized Logistic Item Response Model

rasch.evm.pcm

Estimation of the Partial Credit Model using the Eigenvector Method