Results 121 to 130 of about 1,237 (160)

Person Specific Parameter Heterogeneity in the 2PL IRT Model

Multivariate Behavioral Research, 2023
Following Kelderman and Molenaar's demonstration that a factor model with person specific factor loadings is almost indistinguishable from the standard factor model in terms of overall fit, we examined person specific measurement models in Item Response Theory, person specific discrimination and difficulty parameters were created by adding random ...
Alexandra Lane, Perez, Eric, Loken
openaire   +2 more sources

Using Lasso and Adaptive Lasso to Identify DIF in Multidimensional 2PL Models

Multivariate Behavioral Research, 2022
Differential item functioning (DIF) analysis refers to procedures that evaluate whether an item's characteristic differs for different groups of persons after controlling for overall differences in performance. DIF is routinely evaluated as a screening step to ensure items behave the same across groups.
Chun Wang, Ruoyi Zhu, Gongjun Xu
openaire   +2 more sources

Local influence analysis of the 2PL IRT model for binary responses

Journal of Statistical Computation and Simulation, 2020
Detecting influence is an important diagnostic stage in every statistical analysis. This paper examines the local influence of minor perturbations of the model and data for the two-parameter logist...
E. Tsompanaki, C. Caroni
openaire   +1 more source

Evaluation of R Packages with IRT 2PL Model

2022
This simulation study compares the three most popular R packages: ltm, mirt and TAM, in terms of the accuracy and precision of item parameter estimation and computational efficiency for the IRT 2PL model. Ability parameters are simulated from a normal, uniform and a skewed distribution. Response matrices are simulated and the three packages are used to
Zhang, Shuya   +2 more
openaire   +1 more source

Investigating Confidence Intervals of Item Parameters When Some Item Parameters Take Priors in the 2PL and 3PL Models

Educational and Psychological Measurement, 2022
To reduce the chance of Heywood cases or nonconvergence in estimating the 2PL or the 3PL model in the marginal maximum likelihood with the expectation-maximization (MML-EM) estimation method, priors for the item slope parameter in the 2PL model or for the pseudo-guessing parameter in the 3PL model can be used and the marginal maximum a posteriori ...
Insu Paek   +2 more
openaire   +2 more sources

A Comparison of Two MCMC Algorithms for the 2PL IRT Model

2017
Markov chain Monte Carlo (MCMC) techniques have become popular for estimating item response theory (IRT) models. The current development of MCMC includes two major algorithms: Gibbs sampling and the No-U-Turn sampler (NUTS), which can be implemented in two specialized software packages JAGS and Stan, respectively.
Meng-I Chang, Yanyan Sheng
openaire   +1 more source

Local Equating Using the Rasch Model, the OPLM, and the 2PL IRT Model—or—What Is It Anyway if the Model Captures Everything There Is to Know About the Test Takers?

Journal of Educational Measurement, 2013
Local equating (LE) is based on Lord's criterion of equity. It defines a family of true transformations that aim at the ideal of equitable equating. van der Linden (this issue) offers a detailed discussion of common issues in observed‐score equating relative to this local approach.
González Burgos, Jorge Andrés   +2 more
openaire   +2 more sources

Home - About - Disclaimer - Privacy