Test Analysis Modules
Likelihood Ratio Test for Model Comparisons and Log-Likelihood Value
Extracting Item Parameters from a Fitted cfa
Object in lavaan
More Datasets and Examples (Similar to ConQuest Examples)
Some C-Test Datasets
Datasets data.ex
in TAM
Package
Dataset FIMS Study with Responses of Australian and Japanese Students
S3 Method for Descriptive Statistics of Objects
Generation of Design Matrices
Parsing a String with DO
Statements
Cross-Validation of a Fitted IRT Model
Extracting Item Response Dataset
Function for Drawing Plausible Values
Extracting Expected Counts
Extracting Factor Scores in TAM
Observed and Expected Frequencies for Univariate and Bivariate Distrib...
Item and Test Information Curve
Extracting Item Response Functions
RMSD Item Fit Statistics for TAM
Objects
Extracting Individual Likelihood and Individual Posterior
Linear Approximation of a Confirmatory Factor Analysis
Residuals in an IRT Model
Simulating Item Response Models
Thurstonian Thresholds and Wright Map for Item Response Models
Converts a Score into a True Score
Wright Map for Item Response Models by Using the WrightMap
Package
Individual Likelihood for Confirmatory Factor Analysis
Computes Individual Likelihood from Classical Test Theory Estimates
Slight Extension of the lavaan
Syntax, with Focus on Item Response M...
Mean Squared Residual Based Item Fit Statistics (Infit, Outfit)
Plot Function for Unidimensional Item Response Models
Deviance Plot for TAM
Objects
Expected Values and Predicted Probabilities for Fitted TAM
Models
S3 Method for Standardizations and Transformations of Variables
Defunct TAM
Functions
tools:::Rd_package_title("TAM")
Utility Functions in TAM
Classical Test Theory Based Statistics and Plots
Bifactor Model and Exploratory Factor Analysis
Item Infit and Outfit Statistic
Joint Maximum Likelihood Estimation
Latent Regression Model
Linking of Fitted Unidimensional Item Response Models in TAM
3PL Structured Item Response Model in TAM
Test Analysis Modules: Marginal Maximum Likelihood Estimation
Model Fit Statistics in TAM
Unidimensional Non- and Semiparametric Item Response Model
Person Outfit and Infit Statistics
Plausible Value Imputation
Standard Error Estimation
Calculation of Thurstonian Thresholds
Weighted Likelihood Estimation and Maximum Likelihood Estimation of Pe...
Downcoding an Item Response Dataset
Item Response Function for the 3PL Model
Missing Data Patterns
Wrapper Function for TAM
Language
Function for Parsing TAM
Input
Conversion of Plausible Value Object into Datalist
Descriptive Statistics for Weighted Data
Reliability Estimation in TAM
Includes marginal maximum likelihood estimation and joint maximum likelihood estimation for unidimensional and multidimensional item response models. The package functionality covers the Rasch model, 2PL model, 3PL model, generalized partial credit model, multi-faceted Rasch model, nominal item response model, structured latent class model, mixture distribution IRT models, and located latent class models. Latent regression models and plausible value imputation are also supported. For details see Adams, Wilson and Wang, 1997 <doi:10.1177/0146621697211001>, Adams, Wilson and Wu, 1997 <doi:10.3102/10769986022001047>, Formann, 1982 <doi:10.1002/bimj.4710240209>, Formann, 1992 <doi:10.1080/01621459.1992.10475229>.
Useful links