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CDM (version 4.7-0)

Cognitive Diagnosis Modeling

Description

Functions for cognitive diagnosis modeling and multidimensional item response modeling for dichotomous and polytomous data. This package enables the estimation of the DINA and DINO model, the multiple group (polytomous) GDINA model, the multiple choice DINA model, the general diagnostic model (GDM), the multidimensional linear compensatory item response model and the structured latent class model (SLCA).

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Version

Install

install.packages('CDM')

Monthly Downloads

3,438

Version

4.7-0

License

GPL (>= 2)

Maintainer

Alexander Robitzsch

Last Published

January 30th, 2016

Functions in CDM (4.7-0)

Data-sim

Artificial Data: DINA and DINO
IRT.irfprob

S3 Methods for Extracting Item Response Functions
IRT.irfprobPlot

Plot Item Response Functions
data.jang

Dataset Jang (2009)
data.Students

Dataset Student Questionnaire
coef

Extract Estimated Item Parameters and Skill Class Distribution Parameters
WaldTest

Wald Test for a Linear Hypothesis
IRT.repDesign

Generation of a Replicate Design for IRT.jackknife
IRT.factor.scores

S3 Methods for Extracting Factor Scores (Person Classifications)
data.dcm

Dataset from Book 'Diagnostic Measurement' of Rupp, Templin and Henson (2010)
IRT.parameterTable

S3 Method for Extracting a Parameter Table
CDM-package

Cognitive Diagnosis Modeling: The RPackage CDM
IRT.jackknife

Jackknifing an Item Response Model
IRT.IC

Information Criteria
data.sda6

Dataset SDA6 (Jurich & Bradshaw, 2014)
cdi.kli

Cognitive Diagnostic Indices based on Kullback-Leibler Information
data.cdm

Several Datasets for the CDM Package
print.summary.din

Print Method for Objects of Class summary.din
entropy.lca

Test-specific and Item-specific Entropy for Latent Class Models
personfit.appropriateness

Appropriateness Statistic for Person Fit Assessment
gdina.dif

Differential Item Functioning in the GDINA Model
IRT.modelfit

S3 Methods for Assessing Model Fit
plot.din

Plot Method for Objects of Class din
din.validate.qmatrix

Q-Matrix Validation (Q-Matrix Modification) for Mixed DINA/DINO Model
IRT.compareModels

Comparisons of Several Models
fraction.subtraction.qmatrix

Fraction Subtraction Q-Matrix
din.deterministic

Deterministic Classification and Joint Maximum Likelihood Estimation of the Mixed DINA/DINO Model
itemfit.rmsea

RMSEA Item Fit
skill.cor

Tetrachoric or Polychoric Correlations between Attributes
summary.din

Summary Method for Objects of Class din
data.pgdina

Dataset for Polytomous GDINA Model
data.hr

Dataset data.hr (Ravand et al., 2013)
data.melab

MELAB Data (Li, 2011)
gdina.wald

Wald Statistic for Item Fit of the DINA and ACDM Rule for GDINA Model
cdm.est.class.accuracy

Classification Reliability in a CDM
data.fraction1

Fraction Subtraction Dataset 1
anova

Likelihood Ratio Test for Model Comparisons
IRT.itemfit

S3 Methods for Computing Item Fit
data.timss03.G8.su

TIMSS 2003 Mathematics 8th Grade (Su et al., 2013)
skillspace.approximation

Skill Space Approximation
sequential.items

Constructing a Dataset with Sequential Pseudo Items for Ordered Item Responses
IRT.likelihood

S3 Methods for Extracting of the Individual Likelihood and the Individual Posterior
vcov

Asymptotic Covariance Matrix, Standard Errors and Confidence Intervals
logLik

Extract Log-Likelihood
data.mg

Large-Scale Dataset with Multiple Groups
gdm

General Diagnostic Model
equivalent.dina

Determination of a Statistically Equivalent DINA Model
skillspace.hierarchy

Creation of a Hierarchical Skill Space
data.ecpe

Dataset ECPE
din

Parameter Estimation for Mixed DINA/DINO Model
mcdina

Multiple Choice DINA Model
data.timss07.G4.lee

TIMSS 2007 Mathematics 4th Grade (Lee et al., 2011)
fraction.subtraction.data

Fraction Subtraction Data
sim.din

Data Simulation Tool for DINA, DINO and mixed DINA and DINO Data
din.equivalent.class

Calculation of Equivalent Skill Classes in the DINA/DINO Model
itemfit.sx2

S-X2 Item Fit Statistic for Dichotomous Data
sim.gdina

Simulation of the GDINA model
predict

Expected Values and Predicted Probabilities from Item Response Response Models
modelfit.cor

Assessing Model Fit and Local Dependence by Comparing Observed and Expected Item Pair Correlations
data.fraction2

Fraction Subtraction Dataset 2
IRT.data

S3 Method for Extracting Used Item Response Dataset
IRT.expectedCounts

S3 Method for Extracting Expected Counts
gdd

Generalized Distance Discriminating Method
IRT.anova

Helper Function for Conducting Likelihood Ratio Tests
data.dtmr

DTMR Fraction Data (Bradshaw et al., 2014)
gdina

Function for Estimating the Generalized DINA (GDINA) Model
data.timss11.G4.AUT

TIMSS 2011 Mathematics 4th Grade Austrian Students
slca

Structured Latent Class Analysis (SLCA)
ideal.response.pattern

Ideal Response Pattern