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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.

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

2,900

Version

2.13-15

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

September 30th, 2018

Functions in TAM (2.13-15)

S3 Method for Standardizations and Transformations of Variables

Defunct TAM Functions

IRTLikelihood.cfa

Individual Likelihood for Confirmatory Factor Analysis

IRTLikelihood.ctt

Computes Individual Likelihood from Classical Test Theory Estimates

Generation of Design Matrices

cfa.extract.itempars

Extracting Item Parameters from a Fitted cfa Object in lavaan

More Datasets and Examples (Similar to ConQuest Examples)

Latent Regression Model

Linking of Fitted Unidimensional Item Response Models in TAM

data.timssAusTwn

Dataset TIMSS 2011 of Australian and Taiwanese Students

Wright Map for Item Response Models by Using the WrightMap Package

Test Analysis Modules

Utility Functions in TAM

Extracting Individual Likelihood and Individual Posterior

data.fims.Aus.Jpn.scored

Dataset FIMS Study with Responses of Australian and Japanese Students

3PL Structured Item Response Model in TAM

Thurstonian Thresholds and Wright Map for Item Response Models

Linear Approximation of a Confirmatory Factor Analysis

Reliability Estimation in TAM

Dataset with Ordered Indicators

Dataset from Geiser et al. (2006)

Likelihood Ratio Test for Model Comparisons and Log-Likelihood Value

Dataset with Raw and Scored Responses from Multiple Choice Items

Residuals in an IRT Model

Test Analysis Modules: Marginal Maximum Likelihood Estimation

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

Simulated Multifaceted Data

Classical Test Theory Based Statistics and Plots

Bifactor Model and Exploratory Factor Analysis

Dataset from Janssen and Geiser (2010)

Item Response Function for the 3PL Model

Wrapper Function for TAM Language

Simulated Rasch data

Simulating Item Response Models

Standard Error Estimation

Dataset Numeracy

Calculation of Thurstonian Thresholds

plotDevianceTAM

Deviance Plot for TAM Objects

Some C-Test Datasets

Expected Values and Predicted Probabilities for Fitted TAM Models

Datasets data.ex in TAM Package

Missing Data Patterns

Weighted Likelihood Estimation and Maximum Likelihood Estimation of Person Parameters

Item Infit and Outfit Statistic

Descriptive Statistics for Weighted Data

Parsing a String with DO Statements

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

Joint Maximum Likelihood Estimation

Person Outfit and Infit Statistics

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

Plot Function for Unidimensional Item Response Models

Model Fit Statistics in TAM

Unidimensional Nonparametric Item Response Model

Plausible Value Imputation

Conversion of Plausible Value Object into Datalist

Function for Parsing TAM Input

IRT.expectedCounts

Extracting Expected Counts

IRT.factor.scores

Extracting Factor Scores in TAM

IRT.frequencies.tam

Observed and Expected Frequencies for Univariate and Bivariate Distributions

Extracting Item Response Dataset

Extracting Item Response Functions

Function for Drawing Plausible Values

IRT.itemfit.tam

RMSD Item Fit Statistics for TAM Objects

IRT.informationCurves

Item and Test Information Curve

S3 Method for Descriptive Statistics of Objects