NOHARM

NOHARM: A computer program for fitting both unidimensional and multidimensional normal ogive models of latent trait theory.

Keywords for this software

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References in zbMATH (referenced in 17 articles )

Showing results 1 to 17 of 17.
Sorted by year (citations)

  1. Converse, Geoffrey; Curi, Mariana; Oliveira, Suely; Templin, Jonathan: Estimation of multidimensional item response theory models with correlated latent variables using variational autoencoders (2021)
  2. Sun, Jianan; Chen, Yunxiao; Liu, Jingchen; Ying, Zhiliang; Xin, Tao: Latent variable selection for multidimensional item response theory models via (L_1) regularization (2016)
  3. Wang, Chun: On latent trait estimation in multidimensional compensatory item response models (2015)
  4. Fragoso, Tiago M.; Cúri, Mariana: Improving psychometric assessment of the Beck depression inventory using multidimensional item response theory (2013)
  5. R. Chalmers: mirt: A Multidimensional Item Response Theory Package for the R Environment (2012) not zbMATH
  6. Reckase, Mark D.: Multidimensional item reponse theory. (2009)
  7. Reckase, Mark D.: Multidimensional item response theory (2007)
  8. Maydeu-Olivares, Albert; Joe, Harry: Limited information goodness-of-fit testing in multidimensional contingency tables (2006)
  9. Sijtsma, Klaas; Junker, Brian W.: Item response theory: past performance, present developments, and future expectations (2006)
  10. Veldkamp, Bernard P.; van der Linden, Wim J.: Multidimensional adaptive testing with constraints on test content (2002)
  11. Béguin, A. A.; Glas, C. A. W.: MCMC estimation and some model-fit analysis of multidimensional IRT models (2001)
  12. Junker, Brian: On the interplay between nonparametric and parametric IRT, with some thoughts about the future (2001)
  13. Zheng, Beiyao: Bayesian estimation of multidimensional item response theory model using Gibbs sampling (2000)
  14. Zhang, Jinming; Stout, William: Conditional covariance structure of generalized compensatory multidimensional items (1999)
  15. Segall, Daniel O.: Multidimensional adaptive testing (1996)
  16. Shealy, Robin; Stout, William: A model-based standardization approach that separates true bias/DIF from group ability differences and detects test bias/DTF as well as item bias/DIF (1993)
  17. McDonald, Roderick P.: Describing the elephant: Structure and function in multivariate data (1986)