Results 31 to 40 of about 11,099,772 (293)
blavaan: Bayesian Structural Equation Models via Parameter Expansion
Journal of Statistical Software, 2018 This article describes blavaan, an R package for estimating Bayesian structural equation models (SEMs) via JAGS and for summarizing the results. It also describes a novel parameter expansion approach for estimating specific types of models with residual ...
Edgar C. Merkle, Yves Rosseel
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Structural equation models code
, 2023 Code and data for structural equation models behind Fig. 4.
Miki Balint (11546209)
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Fit indices for structural equation models.
, 2022 Fit indices for structural equation models.
Jonas R. Kunst (4739691) +3 more
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Model fit evaluation in multilevel structural equation models
Frontiers in Psychology, 2014 Assessing goodness of model fit is one of the key questions in structural equation modeling. Goodness of fit is the extent to which the hypothesized model reproduces the multivariate structure underlying the set of variables.
Ehri eRyu
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IDENTIFIABILITY OF STRUCTURAL EQUATION MODELS WITH LATENT VARIABLES
Transactions of the Karelian Research Centre of the Russian Academy of Sciences, 2019 In this paper the problem of identifiability of structural equation models with latent variables is considered. The conditions of the almost everywhere local identifiability for such models are obtained.
Sergei Stafeev
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Inferring causal phenotype networks using structural equation models
Genetics Selection Evolution, 2011 Phenotypic traits may exert causal effects between them. For example, on the one hand, high yield in dairy cows may increase the liability to certain diseases and, on the other hand, the incidence of a disease may affect yield negatively.
de los Campos Gustavo +5 more
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On Structural Equation Model Equivalence
Multivariate Behavioral Research, 1999 A necessary and sufficient condition for equivalence of structural equation models is presented. Compared to existing rules for equivalent model generation (Stelzl, 1986; Lee & Hershberger, 1990; Hershberger, 1994), it is applicable to a more general class including models with parameter restrictions and models that may or may not fulfil assumptions of
Raykov, T, Penev, Spiridon
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Subgroup discovery in structural equation models.
Psychological Methods, 2021 Structural equation modeling (SEM) is one of the most popular statistical frameworks in the social and behavioural sciences. Often, detection of groups with distinct sets ofparameters in structural equation models (SEM) are of key importance for appliedresearchers, for example, when investigating differential item functioning for a mentalability test ...
Christoph Kiefer +3 more
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Dynamic Structural Equation Models
Structural Equation Modeling: A Multidisciplinary Journal, 2017 This article presents dynamic structural equation modeling (DSEM), which can be used to study the evolution of observed and latent variables as well as the structural equation models over time. DSEM is suitable for analyzing intensive longitudinal data where observations from multiple individuals are collected at many points in time.
Asparouhov, T. +2 more
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Automated Bot Detection Using Bayesian Latent Class Models in Online Surveys
Frontiers in Psychology, 2022 Behavioral scientists have become increasingly reliant on online survey platforms such as Amazon's Mechanical Turk (Mturk). These platforms have many advantages, for example it provides ease of access to difficult to sample populations, a large pool of ...
Zachary Joseph Roman +2 more
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