Cited by 1,074Psychometric Methodologies and TestingStatistical Methods and Bayesian InferenceStatistical Methods and Applications

Beyond SEM: General latent variable modeling

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Muthén, Bengt O.·2002·Behaviormetrika

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  • Person-centered analyses such as GMA are specifically designed to explain longitudinal heterogeneity by separating a general population into profiles with qualitatively and quantitatively different trajectories.

    “Person-centered analyses, such as GMA, are specifically designed to explain longitudinal heterogeneity by separating a general population into profiles of students presenting qualitatively and quantitatively different trajectories (Muthén, 2002).”

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Research works printed but not linked: 8

  1. Bartholomew, D. J. (1987). Latent variable m odels and factoT analysis. New York: Ox- ford University Press.
  2. Blafield , E . (1 980). Clustering of observations from finite mixtures with structural infor- mation. Unpublished doctoral dissertation, Jyviiskyla studies in computer science, economies, and statistics, Jyvaskyla. Finland .
  3. Bryk, A. S. & Ra udenbush, S. W . (2002). Hierarchical linear m odels: A pplications and data analysis methods. 2nd ed. Newbury Park, CA: Sage Publications.
  4. Clogg, C. C. & Goodman, L. A. (1985), Simultaneous latent structural anal ysis in sev- eral groups. In Tuma, N. B. (Ed .) , Sociological M ethodology (pp. 81-110). San Francisco: J ossey-Bass Publishers.
  5. 'luthen, B. (1991). }'lultilevel factor analysis of class and student achievement compo- nents. Journal of Educational Measurement, 28. 338-354.
  6. I\luthen. B. (1997). Latent variable modeling with longitudinal and multilevel data. In A. Raftery (Ed.), Sociological Methodology (pp. 453-480). Boston: Blackwell Pub- lishers.
  7. \luthen, B., Kao, C. F., & Burstein, L. (1991). Instructional sensitivity in mathematics achievement test items: Applications of a new IRT-based detection technique. Journal of Educational Measurement, 28, 1-22.
  8. Pearson, K (1895). Contributions to the theory of mathematical evolution, II: skew vari- ation. Philo.so.phical Tmnsactio.ns of the Royal Society o.f London A, 186. 343-414.

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Authors
Muthén, B. O.
Affiliations
University of California, Los Angeles (US)
Corresponding author
Muthén, Bengt O.
Venue
Behaviormetrika
Published
2002-01
Volume
29
Issue
1
Pages
81-117
ISSN
  • 0385-7417 (ISSN-L)
  • 1349-6964
OpenAlex
W2079257116
Cited by
1,074
References
93
Citations by year
2026: 33 · 2025: 56 · 2024: 31 · 2023: 44 · 2022: 48 · 2021: 56 · 2020: 50 · 2019: 56 · 2018: 37 · 2017: 46 · 2016: 52 · 2015: 64 · 2014: 72 · 2013: 53 · 2012: 63
FWCI
29.64
Type
journal article
Language
en
Open access
Locations
Behaviormetrika (publishedVersion)
Funders
  • National Institute on Alcohol Abuse and Alcoholism (K02AA000230, K02 AA 00230-01)
  • National Institute on Drug Abuse
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
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
Keywords
latent variable models, structural equation modeling, random effects, missing data, hierarchical data, mixture models, latent classes, clustering, factor models, growth curve models, multilevel models, latent class models, discrete-time survival models, psychometrics, measurement error, unified framework

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