LNIRT: An R Package for Joint Modeling of Response Accuracy and Times

06/18/2021
by   Jean-Paul Fox, et al.
0

In computer-based testing it has become standard to collect response accuracy (RA) and response times (RTs) for each test item. IRT models are used to measure a latent variable (e.g., ability, intelligence) using the RA observations. The information in the RTs can help to improve routine operations in (educational) testing, and provide information about speed of working. In modern applications, the joint models are needed to integrate RT information in a test analysis. The R-package LNIRT supports fitting joint models through a user-friendly setup which only requires specifying RA, RT data, and the total number of Gibbs sampling iterations. More detailed specifications of the analysis are optional. The main results can be reported through the summary functions, but output can also be analysed with Markov chain Monte Carlo (MCMC) output tools (i.e., coda, mcmcse). The main functionality of the LNIRT package is illustrated with two real data applications.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
01/24/2020

R package for Nearest Neighbor Gaussian Process models

This paper describes and illustrates functionality of the spNNGP R packa...
research
02/03/2023

dynamite: An R Package for Dynamic Multivariate Panel Models

dynamite is an R package for Bayesian inference of intensive panel (time...
research
06/28/2019

Dealing with Stochastic Volatility in Time Series Using the R Package stochvol

The R package stochvol provides a fully Bayesian implementation of heter...
research
03/25/2019

Posterior-based proposals for speeding up Markov chain Monte Carlo

Markov chain Monte Carlo (MCMC) is widely used for Bayesian inference in...
research
06/13/2023

simmr: A package for fitting Stable Isotope Mixing Models in R

We introduce an R package for fitting Stable Isotope Mixing Models (SIMM...
research
06/09/2020

ProcData: An R Package for Process Data Analysis

Process data refer to data recorded in the log files of computer-based i...
research
05/30/2020

Continuous Time Individual-Level Models of Infectious Disease: a Package EpiILMCT

This paper describes the R package EpiILMCT, which allows users to study...

Please sign up or login with your details

Forgot password? Click here to reset