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Cited by 37Psychometric Methodologies and TestingStatistical Methods and Bayesian InferenceEducational Assessment and Pedagogy

Mplus

Muthén, Bengt, Muthén, Linda·2017·Handbook of Item Response Theory
DOI 10.1201/9781315117430-28
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Abstract

Mplus is a general latent variable modeling program. Mplus offers IRT analyses using 1PL, 2PL, 3PL, 4PL, partial credit, and generalized partial credit models. Owing to the general modeling framework of Mplus, the IRT modeling includes unique features that combine multidimensional analysis; two-level, three-level, and cross-classified analysis; mixture modeling and diagnostic classification modeling; as well as multilevel mixture modeling. The models can be estimated by maximum-likelihood, Bayes, and weighted least squares. Bootstrap standard errors and confidence intervals are available. Graphical displays of item characteristic curves and information curves are also provided.

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  • Robust maximum likelihood estimation (MLR) was used and missing data were handled via full information methods.

    “I used robust maximum likelihood estimation (MLR) and missing data were handled via full information methods (Muthén & Muthén, 2017).”

    From Examining the Prospective Associations Between Mindfulness Facets and Substance Use in Emerging Adulthood. (2021) · cites this paper as Muthén & Muthén, 2017

  • Preliminary measurement models were estimated with Mplus 8 using the robust Maximum Likelihood estimator, which provides parameter estimates, standard errors, and goodness-of-fit indices robust to non-normality of the response scales.

    “Preliminary measurement models were estimated with Mplus 8 (Muthén & Muthén, 2017) using the robust Maximum Likelihood (MLR) estimator, which provides parameter estimates, standard errors, and goodness-of-fit indices that are robust to the non-normality of the response scales used in the present study.”

    From A test of work motivation profile similarity across four distinct samples of employees (2020) · cites this paper as Muthén & Muthén, 2017

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Authors
Muthén, B., & Muthén, L.
Venue
Handbook of Item Response Theory
Publisher
Chapman and Hall/CRC
Published
2017-12-15
Pages
507-518
DOI
10.1201/9781315117430-28
OpenAlex
W7223116505
Cited by
37
References
0
Citations by year
2026: 34 · 2023: 2 · 2022: 1
FWCI
0.00
Type
book chapter
Language
en
Open access
closed
Locations
Chapman & Hall/CRC eBooks (publishedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Social Sciences › Education › Educational Assessment and Pedagogy
Keywords
Mplus, latent variable models, item response theory, multidimensional IRT, partial credit model, generalized partial credit model, multidimensional scaling, two-level analysis, mixture models, item characteristic curves, bootstrap standard errors

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