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TAM

Test Analysis Modules

If you use TAM and have suggestions for improvement or have found bugs, please email me at robitzsch@ipn.uni-kiel.de.

Manual

The manual may be found here https://alexanderrobitzsch.github.io/TAM/

CRAN version

The official version of TAM is hosted on CRAN and may be found here. The CRAN version can be installed from within R using:

utils::install.packages("TAM")

GitHub version

The version hosted here is the development version of TAM. The GitHub version can be installed using devtools as:

devtools::install_github("alexanderrobitzsch/TAM")

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Version

Install

install.packages('TAM')

Monthly Downloads

3,732

Version

3.5-19

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Maintainer

Alexander Robitzsch

Last Published

May 6th, 2020

Functions in TAM (3.5-19)

IRT.drawPV

Function for Drawing Plausible Values
IRT.expectedCounts

Extracting Expected Counts
IRT.truescore

Converts a \(\theta\) Score into a True Score \(\tau ( \theta)\)
IRTLikelihood.cfa

Individual Likelihood for Confirmatory Factor Analysis
data.fims.Aus.Jpn.scored

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

Datasets data.ex in TAM Package
designMatrices

Generation of Design Matrices
doparse

Parsing a String with DO Statements
lavaanify.IRT

Slight Extension of the lavaan Syntax, with Focus on Item Response Models
IRT.data.tam

Extracting Item Response Dataset
IRT.cv

Cross-Validation of a Fitted IRT Model
msq.itemfit

Mean Squared Residual Based Item Fit Statistics (Infit, Outfit)
IRT.informationCurves

Item and Test Information Curve
IRT.factor.scores

Extracting Factor Scores in TAM
IRT.frequencies.tam

Observed and Expected Frequencies for Univariate and Bivariate Distributions
IRT.WrightMap

Wright Map for Item Response Models by Using the WrightMap Package
DescribeBy

S3 Method for Descriptive Statistics of Objects
IRT.simulate

Simulating Item Response Models
TAM-package

TAM
data.janssen

Dataset from Janssen and Geiser (2010)
TAM-defunct

Defunct TAM Functions
IRT.likelihood

Extracting Individual Likelihood and Individual Posterior
IRT.itemfit.tam

RMSD Item Fit Statistics for TAM Objects
IRT.irfprob

Extracting Item Response Functions
IRT.threshold

Thurstonian Thresholds and Wright Map for Item Response Models
anova-logLik

Likelihood Ratio Test for Model Comparisons and Log-Likelihood Value
cfa.extract.itempars

Extracting Item Parameters from a Fitted cfa Object in lavaan
IRTLikelihood.ctt

Computes Individual Likelihood from Classical Test Theory Estimates
tam.fa

Bifactor Model and Exploratory Factor Analysis
tam.fit

Item Infit and Outfit Statistic
data.mc

Dataset with Raw and Scored Responses from Multiple Choice Items
Scale

S3 Method for Standardizations and Transformations of Variables
TAM-utilities

Utility Functions in TAM
IRT.residuals

Residuals in an IRT Model
WLErel

Reliability Estimation in TAM
IRT.linearCFA

Linear Approximation of a Confirmatory Factor Analysis
data.cqc

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

Dataset Numeracy
data.sim.mfr

Simulated Multifaceted Data
data.ctest

Some C-Test Datasets
data.sim.rasch

Simulated Rasch data
tam.jml

Joint Maximum Likelihood Estimation
data.geiser

Dataset from Geiser et al. (2006)
tam.latreg

Latent Regression Model
plot.tam

Plot Function for Unidimensional Item Response Models
data.gpcm

Dataset with Ordered Indicators
plotDevianceTAM

Deviance Plot for TAM Objects
predict

Expected Values and Predicted Probabilities for Fitted TAM Models
data.timssAusTwn

Dataset TIMSS 2011 of Australian and Taiwanese Students
tam.ctt

Classical Test Theory Based Statistics and Plots