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Cited by 3,535

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using M plus

Asparouhov, Tihomir, Muthén, Bengt·2014·Structural Equation Modeling: A Multidisciplinary Journal

Abstract

This article discusses alternatives to single-step mixture modeling. A 3-step method for latent class predictor variables is studied in several different settings, including latent class analysis, latent transition analysis, and growth mixture modeling. It is explored under violations of its assumptions such as with direct effects from predictors to latent class indicators. The 3-step method is also considered for distal variables. The Lanza, Tan, and Bray (2013) method for distal variables is studied under several conditions including violations of its assumptions. Standard errors are also developed for the Lanza method because these were not given in Lanza et al. (2013).

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Research works printed but not linked: 7

  1. 10.1177/0081175012470644 · DOI · Paper page
  2. 10.1080/10705511.2013.742377 · DOI · Paper page
  3. 10.4135/9781412986311.n19 · DOI · Paper page
  4. Muthén B., 2009, Longitudinal data analysis, 143
  5. 10.1111/j.0006-341X.1999.00463.x · DOI · Paper page
  6. 10.1093/pan/mpq025 · DOI · Paper page
  7. 10.1198/016214505000000501 · DOI

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Metadata

Authors
Asparouhov, T., & Muthén, B.
Venue
Structural Equation Modeling: A Multidisciplinary Journal
Published
2014-06-09
Volume
21
Issue
3
Pages
329-341
ISSN
  • 1070-5511 (ISSN-L)
  • 1532-8007
OpenAlex
W2147200107
Cited by
3,535
References
3
FWCI
164.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using M plus. https://app.cochat.ai/papers/10.1080/10705511.2014.915181
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Asparouhov, T., & Muthén, B. (2014). Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using M plus. Structural Equation Modeling: A Multidisciplinary Journal. https://doi.org/10.1080/10705511.2014.915181

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