Tihomir Asparouhov
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Explore the profile of Tihomir Asparouhov including associated specialties, affiliations and a list of published articles.
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18
Citations
982
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Recent Articles
1.
Muthen B, Asparouhov T, Shiffman S
Psychol Methods
. 2025 Jan;
PMID: 39760732
Intensive longitudinal data analysis, commonly used in psychological studies, often concerns outcomes that have strong floor effects, that is, a large percentage at its lowest value. Ignoring a strong floor...
2.
Muthen B, Asparouhov T, Witkiewitz K
Psychol Methods
. 2024 Sep;
PMID: 39298187
To date, cross-lagged panel modeling has been studied only for continuous outcomes. This article presents methods that are suitable also when there are binary and ordinal outcomes. Modeling, testing, identification,...
3.
Muthen B, Asparouhov T
Psychol Methods
. 2024 May;
PMID: 38815066
This article considers identification, estimation, and model fit issues for models with contemporaneous and reciprocal effects. It explores how well the models work in practice using Monte Carlo studies as...
4.
Leitgob H, Seddig D, Asparouhov T, Behr D, Davidov E, De Roover K, et al.
Soc Sci Res
. 2023 Feb;
110:102805.
PMID: 36796989
This review summarizes the current state of the art of statistical and (survey) methodological research on measurement (non)invariance, which is considered a core challenge for the comparative social sciences. After...
5.
Muthen B, Asparouhov T
Psychol Methods
. 2022 Mar;
27(1):1-16.
PMID: 35238596
This article demonstrates that the regular LTA model is unnecessarily restrictive and that an alternative model is readily available that typically fits the data much better, leads to better estimates...
6.
Marsh H, Guo J, Parker P, Nagengast B, Asparouhov T, Muthen B, et al.
Psychol Methods
. 2017 Jan;
23(3):524-545.
PMID: 28080078
Scalar invariance is an unachievable ideal that in practice can only be approximated; often using potentially questionable approaches such as partial invariance based on a stepwise selection of parameter estimates...
7.
Marsh H, Ludtke O, Robitzsch A, Trautwein U, Asparouhov T, Muthen B, et al.
Multivariate Behav Res
. 2016 Jan;
44(6):764-802.
PMID: 26801796
This article is a methodological-substantive synergy. Methodologically, we demonstrate latent-variable contextual models that integrate structural equation models (with multiple indicators) and multilevel models. These models simultaneously control for and unconfound...
8.
Muthen B, Asparouhov T
Stat Med
. 2014 Dec;
34(6):1041-58.
PMID: 25504555
A limiting feature of previous work on growth mixture modeling is the assumption of normally distributed variables within each latent class. With strongly non-normal outcomes, this means that several latent...
9.
Muthen B, Asparouhov T
Front Psychol
. 2014 Oct;
5:978.
PMID: 25309470
Asparouhov and Muthén (2014) presented a new method for multiple-group confirmatory factor analysis (CFA), referred to as the alignment method. The alignment method can be used to estimate group-specific factor...
10.
Muthen B, Asparouhov T
Psychol Methods
. 2012 Sep;
17(3):313-35.
PMID: 22962886
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 zeros based on...