CDM

Cognitive Diagnosis Modeling

Utility Functions in CDM

Artificial Data: DINA and DINO

Information Criteria

Root Mean Square Deviation (RMSD) Item Fit Statistic

Helper Function for Conducting Likelihood Ratio Tests

Individual Classification for Fitted Models

Comparisons of Several Models

S3 Method for Extracting Used Item Response Dataset

S3 Method for Extracting Expected Counts

S3 Methods for Extracting Factor Scores (Person Classifications)

S3 Method for Computing Observed and Expected Frequencies of Univariate and Bivariate Marginals

S3 Methods for Extracting Item Response Functions

Plot Item Response Functions

S3 Methods for Computing Item Fit

Jackknifing an Item Response Model

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

S3 Method for Computation of Marginal Posterior Distribution

S3 Methods for Assessing Model Fit

S3 Method for Extracting a Parameter Table

Generation of a Replicate Design for IRT.jackknife

Wald Test for a Linear Hypothesis

Likelihood Ratio Test for Model Comparisons

Cognitive Diagnostic Indices based on Kullback-Leibler Information

Classification Reliability in a CDM

Extract Estimated Item Parameters and Skill Class Distribution Parameters

Dataset Student Questionnaire

Several Datasets for the CDM Package

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

DTMR Fraction Data (Bradshaw et al., 2014)

Dataset ECPE

Fraction Subtraction Dataset with Different Subsets of Data and Different Q-Matrices

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

Dataset Jang (2009)

MELAB Data (Li, 2011)

Large-Scale Dataset with Multiple Groups

Dataset for Polytomous GDINA Model

PISA 2000 Reading Study (Chen & de la Torre, 2014)

Dataset SDA6 (Jurich & Bradshaw, 2014)

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

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

TIMSS 2011 Mathematics 4th Grade Austrian Students

Variance Matrix of a Nonlinear Estimator Using the Delta Method

Parameter Estimation for Mixed DINA/DINO Model

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

Calculation of Equivalent Skill Classes in the DINA/DINO Model

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

Identifiability Conditions of the DINA Model

Discrimination Indices at Item-Attribute, Item and Test Level

Test-specific and Item-specific Entropy for Latent Class Models

Determination of a Statistically Equivalent DINA Model

Evaluation of Likelihood

Fraction Subtraction Data

Fraction Subtraction Q-Matrix

Generalized Distance Discriminating Method

Estimating the Generalized DINA (GDINA) Model

Differential Item Functioning in the GDINA Model

Wald Statistic for Item Fit of the DINA and ACDM Rule for GDINA Model

General Diagnostic Model

Ideal Response Pattern

Create Dataset with Group-Specific Items

RMSEA Item Fit

S-X2 Item Fit Statistic for Dichotomous Data

Extract Log-Likelihood

Multiple Choice DINA Model

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

Numerical Computation of the Hessian Matrix

Opens and Closes a sink Connection

Appropriateness Statistic for Person Fit Assessment

Plot Method for Objects of Class din

S3 Methods for Plotting Item Probabilities

Expected Values and Predicted Probabilities from Item Response Response Models

Print Method for Objects of Class summary.din

Regularized Latent Class Analysis

Constructing a Dataset with Sequential Pseudo Items for Ordered Item Responses

Data Simulation Tool for DINA, DINO and mixed DINA and DINO Data

Simulation of the GDINA model

Simulate an Item Response Model

Tetrachoric or Polychoric Correlations between Attributes

Skill Space Approximation

Creation of a Hierarchical Skill Space

Structured Latent Class Analysis (SLCA)

Summary Method for Objects of Class din

Prints summary and sink Output in a File

Asymptotic Covariance Matrix, Standard Errors and Confidence Intervals