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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@leibniz-ipn.de. Please always provide a minimal dataset, necessary to demonstrate the problem, a minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and all necessary information on the used librarys, the R version, and the OS it is run on, perhaps a sessionInfo().

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")

or alternatively use

utils::install.packages('TAM', repos = c('https://alexanderrobitzsch.r-universe.dev', 'https://cloud.r-project.org'))

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Version

Install

install.packages('TAM')

Monthly Downloads

3,578

Version

4.3-25

License

GPL (>= 2)

Issues

Pull Requests

Stars

Forks

Repository

https://github.com/alexanderrobitzsch/TAM

Homepage

http://www.edmeasurementsurveys.com/TAM/Tutorials/

Maintainer

Alexander Robitzsch

Last Published

August 28th, 2025

Functions in TAM (4.3-25)

IRTLikelihood.ctt

Computes Individual Likelihood from Classical Test Theory Estimates

S3 Method for Standardizations and Transformations of Variables

Thurstonian Thresholds and Wright Map for Item Response Models

Residuals in an IRT Model

Linear Approximation of a Confirmatory Factor Analysis

Converts a \(\theta\) Score into a True Score \(\tau ( \theta)\)

Extracting Individual Likelihood and Individual Posterior

IRTLikelihood.cfa

Individual Likelihood for Confirmatory Factor Analysis

Simulating Item Response Models

IRT.itemfit.tam

RMSD Item Fit Statistics for TAM Objects

Some C-Test Datasets

Utility Functions in TAM

Datasets data.ex in TAM Package

Defunct TAM Functions

tools:::Rd_package_title("TAM")

More Datasets and Examples (Similar to ConQuest Examples)

cfa.extract.itempars

Extracting Item Parameters from a Fitted cfa Object in lavaan

Reliability Estimation in TAM

data.fims.Aus.Jpn.scored

Dataset FIMS Study with Responses of Australian and Japanese Students

Likelihood Ratio Test for Model Comparisons and Log-Likelihood Value

Simulated Rasch data

Simulated Multifaceted Data

Generation of Design Matrices

Dataset with Raw and Scored Responses from Multiple Choice Items

Parsing a String with DO Statements

data.timssAusTwn

Dataset TIMSS 2011 of Australian and Taiwanese Students

Dataset from Geiser et al. (2006)

Dataset Numeracy

Dataset from Janssen and Geiser (2010)

Dataset with Ordered Indicators

plotDevianceTAM

Deviance Plot for TAM Objects

Item Infit and Outfit Statistic

Plot Function for Unidimensional Item Response Models

Joint Maximum Likelihood Estimation

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

Expected Values and Predicted Probabilities for Fitted TAM Models

Classical Test Theory Based Statistics and Plots

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

Bifactor Model and Exploratory Factor Analysis

Latent Regression Model

Wright Map for Item Response Models by Using the WrightMap Package

IRT.frequencies.tam

Observed and Expected Frequencies for Univariate and Bivariate Distributions

Cross-Validation of a Fitted IRT Model

Function for Drawing Plausible Values

Extracting Item Response Functions

Extracting Item Response Dataset

IRT.factor.scores

Extracting Factor Scores in TAM

IRT.informationCurves

Item and Test Information Curve

IRT.expectedCounts

Extracting Expected Counts

S3 Method for Descriptive Statistics of Objects