Literature DB >> 30140105

A Short Note on Estimating the Testlet Model With Different Estimators in Mplus.

Yong Luo1.   

Abstract

Mplus is a powerful latent variable modeling software program that has become an increasingly popular choice for fitting complex item response theory models. In this short note, we demonstrate that the two-parameter logistic testlet model can be estimated as a constrained bifactor model in Mplus with three estimators encompassing limited- and full-information estimation methods.

Keywords:  bifactor model; full-information estimation; item response theory (IRT); limited-information estimation; testlet

Year:  2017        PMID: 30140105      PMCID: PMC6096464          DOI: 10.1177/0013164417717314

Source DB:  PubMed          Journal:  Educ Psychol Meas        ISSN: 0013-1644            Impact factor:   2.821


  2 in total

1.  Empirical Comparison Between Factor Analysis and Multidimensional Item Response Models.

Authors:  D L Knol; M P Berger
Journal:  Multivariate Behav Res       Date:  1991-07-01       Impact factor: 5.923

2.  NOHARM: Least Squares Item Factor Analysis.

Authors:  C Fraser; R P McDonald
Journal:  Multivariate Behav Res       Date:  1988-04-01       Impact factor: 5.923

  2 in total
  2 in total

1.  A Short Note on Obtaining Point Estimates of the IRT Ability Parameter With MCMC Estimation in Mplus: How Many Plausible Values Are Needed?

Authors:  Yong Luo; Dimiter M Dimitrov
Journal:  Educ Psychol Meas       Date:  2018-05-29       Impact factor: 2.821

2.  A Motivational-Developmental Free Response Assessment Through a Bifactor Lens.

Authors:  David Alpizar; Brian F French
Journal:  Front Psychol       Date:  2021-12-03
  2 in total

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