Author pages are created from data sourced from our academic publisher partnerships and public sources.

Publications Influence

Deciding on the Number of Classes in Latent Class Analysis and Growth Mixture Modeling: A Monte Carlo Simulation Study

- Karen L. Nylund, T. Asparouhov, B. Muthén
- Mathematics
- 23 October 2007

Mixture modeling is a widely applied data analysis technique used to identify unobserved heterogeneity in a population. Despite mixture models' usefulness in practice, one unresolved issue in the… Expand

5,402 440- PDF

Exploratory Structural Equation Modeling

- T. Asparouhov, B. Muthén
- Psychology
- 14 July 2009

Exploratory factor analysis (EFA) is a frequently used multivariate analysis technique in statistics. Jennrich and Sampson (1966) solved a significant EFA factor loading matrix rotation problem by… Expand

1,492 235- PDF

Auxiliary Variables in Mixture Modeling: Three-Step Approaches Using Mplus

- T. Asparouhov, B. Muthén
- Mathematics
- 3 July 2014

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,… Expand

1,143 124

Bayesian structural equation modeling: a more flexible representation of substantive theory.

- B. Muthén, T. Asparouhov
- Psychology, Medicine
- Psychological methods
- 1 September 2012

This article proposes a new approach to factor analysis and structural equation modeling using Bayesian analysis. The new approach replaces parameter specifications of exact zeros with approximate… Expand

737 124

Exploratory Structural Equation Modeling, Integrating CFA and EFA: Application to Students' Evaluations of University Teaching

- H. Marsh, B. Muthén, +4 authors U. Trautwein
- Psychology
- 14 July 2009

This study is a methodological-substantive synergy, demonstrating the power and flexibility of exploratory structural equation modeling (ESEM) methods that integrate confirmatory and exploratory… Expand

650 78- PDF

A new look at the big five factor structure through exploratory structural equation modeling.

- H. Marsh, O. Luedtke, +4 authors B. Nagengast
- Psychology, Medicine
- Psychological assessment
- 1 September 2010

NEO instruments are widely used to assess Big Five personality factors, but confirmatory factor analyses (CFAs) conducted at the item level do not support their a priori structure due, in part, to… Expand

599 75- PDF

The multilevel latent covariate model: a new, more reliable approach to group-level effects in contextual studies.

- O. Luedtke, H. Marsh, A. Robitzsch, U. Trautwein, T. Asparouhov, B. Muthén
- Mathematics, Medicine
- Psychological methods
- 1 September 2008

In multilevel modeling (MLM), group-level (L2) characteristics are often measured by aggregating individual-level (L1) characteristics within each group so as to assess contextual effects (e.g.,… Expand

455 46- PDF

Sampling Weights in Latent Variable Modeling

- T. Asparouhov
- Computer Science
- 1 July 2005

TLDR

445 43- PDF

Auxiliary Variables in Mixture Modeling : A 3-Step Approach Using Mplus

- T. Asparouhov, B. Muthén
- 2012

This paper discusses alternatives to single-step mixture modeling. A 3step method for latent class predictor variables is studied in several different settings including latent class analysis, latent… Expand

217 38- PDF

Auxiliary Variables in Mixture Modeling: Using the BCH Method in Mplus to Estimate a Distal Outcome Model and an Arbitrary Secondary Model

- T. Asparouhov, B. Muthén
- 2014

159 31- PDF