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TAM (version 1.995-0)

Test Analysis Modules

Description

Includes marginal maximum likelihood estimation of uni- and multidimensional item response models (Rasch, 2PL, 3PL, Generalized Partial Credit, Multi Facets, Nominal Item Response, Structured Latent Class Analysis, Mixture Distribution IRT Models, Located Latent Class Models) and joint maximum likelihood estimation for models from the Rasch family. Latent regression models and plausible value imputation are also supported.

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Version

Install

install.packages('TAM')

Monthly Downloads

3,732

Version

1.995-0

License

GPL (>= 2)

Maintainer

Alexander Robitzsch

Last Published

May 31st, 2016

Functions in TAM (1.995-0)

data.janssen

Dataset from Janssen and Geiser (2010)
data.fims.Aus.Jpn.scored

Dataset FIMS Study with Responses of Australian and Japanese Students
data.examples

Datasets data.ex in TAM Package
data.ctest

Some C-Test Datasets
data.cqc

More Datasets and Examples (Similar to ConQuest Examples)
data.geiser

Dataset from Geiser et al. (2006)
anova-logLik

Likelihood Ratio Test for Model Comparisons and Log-Likelihood Value
data.mc

Dataset with Raw and Scored Responses from Multiple Choice Items
cfa.extract.itempars

Extracting Item Parameters from a Fitted cfa Object in lavaan
data.gpcm

Dataset with Ordered Indicators
data.sim.rasch

Simulated Rasch data
DescribeBy

S3 Method for Descriptive Statistics of Objects
data.timssAusTwn

Dataset TIMSS 2011 of Australian and Taiwanese Students
IRT.expectedCounts

Extracting Expected Counts
IRT.drawPV

Function for Drawing Plausible Values
designMatrices

Generation of Design Matrices
doparse

Parsing a String with DO Statements
IRT.data.tam

Extracting Item Response Dataset
data.numeracy

Dataset Numeracy
data.sim.mfr

Simulated Multifaceted Data
IRT.residuals

Residuals in an IRT Model
IRT.irfprob

Extracting Item Response Functions
IRT.linearCFA

Linear Approximation of a Confirmatory Factor Analysis
IRT.truescore

Converts a $\theta$ Score into a True Score $\tau ( \theta)$
IRT.factor.scores

Extracting Factor Scores in TAM
IRT.simulate

Simulating Item Response Models
IRT.likelihood

Extracting Individual Likelihood and Individual Posterior
IRT.itemfit.tam

RMSEA Item Fit Statistics for TAM Objects
IRT.informationCurves

Item and Test Information Curve
IRT.WrightMap

Wright Map for Item Response Models by Using the WrightMap Package
TAM-package

Test Analysis Modules
Scale

S3 Method for Standardizations and Transformations of Variables
IRTLikelihood.ctt

Computes Individual Likelihood from Classical Test Theory Estimates
predict

Expected Values and Predicted Probabilities for Fitted TAM Models
plot.tam

Plot Function for Unidimensional Item Response Models
lavaanify.IRT

Slight Extension of the lavaan Syntax, with Focus on Item Response Models
TAM-internal

Computation of intermediate information
IRTLikelihood.cfa

Individual Likelihood for Confirmatory Factor Analysis
plotDevianceTAM

Deviance Plot for TAM Objects
msq.itemfit

Mean Squared Residual Based Item Fit Statistics (Infit, Outfit)
tam.ctt

Classical Test Theory Based Statistics and Plots
tam.fit

Item Infit and Outfit Statistic
tamaanify

Function for Parsing TAM Input
tamaan

Wrapper Function for TAM Language
tam.latreg

Latent Regression Model
tam.se

Standard Error Estimation
tampv2datalist

Conversion of Plausible Value Object into Datalist
tam.jml

Joint Maximum Likelihood Estimation
tam.threshold

Calculation of Thurstonian Thresholds
tam.pv

Plausible Value Imputation
weighted_Stats

Descriptive Statistics for Weighted Data
WLErel

Reliability Estimation in TAM