• mirt

  • Referenced in 25 articles [sw13479]
  • response data using unidimensional and multidimensional latent trait models under the Item Response Theory paradigm...
  • bfa

  • Referenced in 22 articles [sw07430]
  • factor models for mixed data. Gaussian factor models have proven widely useful for parsimoniously characterizing ... latent Gaussian variables or through generalized latent trait models accommodating measurements in the exponential family ... generalizing to non-Gaussian measured variables, the latent variables typically influence both the dependence structure...
  • DIMTEST

  • Referenced in 12 articles [sw33561]
  • hypothesis that an essentially unidimensional latent trait model fits observed binary item response data from...
  • NOHARM

  • Referenced in 16 articles [sw13943]
  • unidimensional and multidimensional normal ogive models of latent trait theory...
  • TreeBUGS

  • Referenced in 12 articles [sw16694]
  • models that are often used in cognitive psychology. Implements the latent-trait MPT approach (Klauer ... approach (Smith & Batchelder, 2010) to model heterogeneity of participants. MPT models are conventiently specified...
  • IRTm2noHA

  • Referenced in 2 articles [sw25347]
  • Bayesian Estimation of MIRT Models with General and Specific Latent Traits in MATLAB. Multidimensional item ... response models have been developed to incorporate a general trait and several specific trait dimensions ... structure of these latent traits, different models can be considered. This paper provides the requisite ... latent structure involving general and specific traits, specify prior distributions for model parameters, check convergence...
  • MultiLCIRT

  • Referenced in 14 articles [sw11284]
  • MultiLCIRT: Multidimensional Latent Class Item Response Theory Models. Framework for the Item Response Theory analysis ... multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses...
  • IRTmu2no

  • Referenced in 4 articles [sw25350]
  • Model. Unidimensional item response theory (IRT) models are useful when each item is designed ... latent trait. In practical applications, items are not necessarily measuring the same underlying trait ... hence the more general multi-unidimensional model should be considered. This paper provides the requisite...
  • LOT

  • Referenced in 2 articles [sw35330]
  • ordinal traits for pedigree data. It implements a latent-variable proportional-odds logistic model that ... patterns to the distribution of the ordinal trait. The likelihood-ratio test is used...
  • MultiCIRT

  • Referenced in 1 article [sw13206]
  • extend traditional IRT models allowing for multidimensionality and discreteness of latent traits. They also allow ... response variables given the latent traits, depending on both the type of link function ... discriminating and difficulty item parameters. These models may be estimated by maximum likelihood...
  • MULTIRA

  • Referenced in 2 articles [sw11285]
  • Rasch-Model (MultiRa) is a probabilistic test model. It assumes that responses of a test ... questionnaire can be explained by several latent traits. In this sense it is a probabilistic ... algorithm for the multidimensional item component Rasch model and other Rasch models. Actually, the progam...
  • BMRV

  • Referenced in 0 articles [sw17527]
  • trait that can be continuous, ordinal or binary. Bayesian latent variable collapsing model (BLVCM) detects ... independent samples. Hierarchical Bayesian multiple regression model (HBMR) incorporates genotype uncertainty information ... deals with continuous, binary and ordinal traits...
  • MLCIRTwithin

  • Referenced in 2 articles [sw15563]
  • Latent Class Item Response Theory (LC-IRT) Models under Within-Item Multidimensionality. Framework ... item multidimensionality and discreteness of the latent traits. The fitting algorithms allow for missing responses...
  • HMSC

  • Referenced in 1 article [sw22951]
  • modelling to account for environment, traits and phylogeny to model species communities. In addition, this ... also include and spatially (or temporally) autocorrelated latent variables to measure association among species. This...
  • IRTpp

  • Referenced in 0 articles [sw15755]
  • measuring latent traits (a.k.a Abilities) and estimating item parameters for a variety of models, this...
  • dfa

  • Referenced in 1 article [sw36864]
  • factor models. In the application to a Chinese EHR dataset, we identify 10 latent diseases ... groups of subjects with specific health traits related to lipid disorder, thrombocytopenia, polycythemia, anemia, bacterial...
  • GW-SEM

  • Referenced in 1 article [sw37731]
  • possible to expand the set of models that can be tested. This is particularly necessary ... measurement of, and interaction between, comorbid traits. In this paper, we present a method ... with multiple phenotypes or a latent construct on a genome-wide basis using a Diagonally ... four common SEMs: a one-factor model, a one-factor residuals model, a two-factor...
  • classify

  • Referenced in 1 article [sw24427]
  • classify: Classification Accuracy and Consistency under IRT models. IRT classification uses the probability that candidates ... assumed to depend only on the latent trait being measured) the probability of candidates achieving...
  • Mathematica

  • Referenced in 5957 articles [sw00554]
  • Almost any workflow involves computing results, and that...
  • Matlab

  • Referenced in 12309 articles [sw00558]
  • MATLAB® is a high-level language and interactive...