TAM

R package TAM: Test Analysis Modules. Includes marginal and joint 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). Latent regression models and plausible value imputation are also supported.


References in zbMATH (referenced in 4 articles )

Showing results 1 to 4 of 4.
Sorted by year (citations)

  1. Christine Hohensinn: pcIRT: An R Package for Polytomous and Continuous Rasch Models (2018) not zbMATH
  2. Rose, Norman; von Davier, Matthias; Nagengast, Benjamin: Modeling omitted and not-reached items in IRT models (2017)
  3. Jorge Tendeiro and Rob Meijer and A. Niessen: PerFit: An R Package for Person-Fit Analysis in IRT (2016) not zbMATH
  4. Scherer, Ronny; Siddiq, Fazilat: The big-fish-little-pond-effect revisited: do different types of assessments matter? (2015) MathEduc