Generalized multilevel structural equation modeling

DOI10.1007/BF02295939zbMath1306.62484OpenAlexW2015536561WikidataQ60655839 ScholiaQ60655839MaRDI QIDQ2259986

Andrew R. Pickles, Anders Skrondal, Sophia Rabe-Hesketh

Publication date: 5 March 2015

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf02295939

zbMATH Keywords

item response theoryempirical Bayesrandom effectslatent variablesadaptive quadraturefactor modelsgeneralized linear mixed modelshierarchical modelsGLLAMMmultilevel structural equation models

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Generalized linear models (logistic models) (62J12) Applications of statistics to psychology (62P15)

Related Items (46)

Maximum likelihood estimation of limited and discrete dependent variable models with nested random effects ⋮ Modeling within-item dependencies in parallel data on test responses and brain activation ⋮ Maximum Likelihood Analysis of a General Latent Variable Model with Hierarchically Mixed Data ⋮ A Nonlinear Model with Latent Process for Cognitive Evolution Using Multivariate Longitudinal Data ⋮ Fast estimation of multiple group generalized linear latent variable models for categorical observed variables ⋮ Unnamed Item ⋮ Simulation-based fully Bayesian experimental design for mixed effects models ⋮ A variational maximization-maximization algorithm for generalized linear mixed models with crossed random effects ⋮ Heteroscedastic latent trait models for dichotomous data ⋮ A multilevel structural equation model for assessing a drug effect on a patient‐reported outcome measure in on‐demand medication data ⋮ Missing data: A statistical framework for practice ⋮ A multilevel structured latent curve model for disaggregating student and school contributions to learning ⋮ Variation and Covariation in Large-Scale Replication Projects: An Evaluation of Replicability ⋮ Structural modeling of measurement error in generalized linear models with Rasch measures as covariates ⋮ Longitudinal modeling of age-dependent latent traits with generalized additive latent and mixed models ⋮ Fast and accurate estimation of non-nested binomial hierarchical models using variational inference ⋮ Multilevel IRT models for the university teaching evaluation ⋮ Additive multilevel item structure models with random residuals: item modeling for explanation and item generation ⋮ Building up adjusted indicators of students’ evaluation of university courses using generalized item response models ⋮ A multiple group item response theory model with centered skew-normal latent trait distributions under a Bayesian framework ⋮ Volatility and specific risk toward family's performance in an emerging country ⋮ Maximum likelihood estimation of multilevel structural equation models with random slopes for latent covariates ⋮ Multivariate multilevel models for attitudes toward statistics: multi-disciplinary settings in Afghanistan ⋮ A multimethod latent state-trait model for structurally different and interchangeable methods ⋮ Generalized sample size determination formulas for investigating contextual effects by a three-level random intercept model ⋮ Linear latent variable models: the lava-package ⋮ Improved regression calibration ⋮ Latent variable models with ordinal categorical covariates ⋮ Multilevel logistic regression for polytomous data and rankings ⋮ High-dimensional maximum marginal likelihood item factor analysis by adaptive quadrature ⋮ Finite mixture multilevel multidimensional ordinal IRT models for large scale cross-cultural research ⋮ High-dimensional exploratory item factor analysis by a Metropolis-Hastings Robbins-Monro algorithm ⋮ Classical latent variable models for medical research ⋮ Latent class and finite mixture models for multilevel data sets ⋮ Latent Variable Modelling: A Survey* ⋮ Multilevel and latent variable modeling with composite links and exploded likelihoods ⋮ Discrete choice models for ordinal response variables: a generalization of the stereotype model ⋮ Latent class models for diary method data: Parameter estimation by local computations ⋮ Efficient Estimation for Semiparametric Structural Equation Models With Censored Data ⋮ On Bayesian estimation and model comparison of an integrated structural equation model ⋮ galamm ⋮ Efficient likelihood estimation of generalized structural equation models with a mix of normal and nonnormal responses ⋮ Latent variable modeling paradigms for genotype-trait association studies ⋮ High-stakes testing case study: a latent variable approach for assessing measurement and prediction invariance ⋮ The role of conditional likelihoods in latent variable modeling ⋮ Correcting for measurement error in latent variables used as predictors

Uses Software

• MLwiN
• Stata
• Mplus
• LISREL
• HLM
• GLLAMM

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Maximum likelihood and generalized least squares analyses of two level structural equation models
• Factor analysis for clustered observations
• Bayesian factor analysis for multilevel binary observations
• Constrained maximum likelihood estimation of two-level covariance structure model via EM type algorithms
• Bayesian modeling of measurement error in predictor variables using item response theory
• Multilevel logistic regression for polytomous data and rankings
• An EM algorithm for fitting two-level structural equation models
• Bayesian estimation of a multilevel IRT model using Gibbs sampling
• Regression among factor scores
• Simultaneous factor analysis in several populations
• Local dependence latent structure models
• Covariance structure analysis with three-level data
• A general model for the analysis of multilevel data
• Maximum Likelihood Estimation of Two-Level Latent Variable Models with Mixed Continuous and Polytomous Data
• Parameterization of Multivariate Random Effects Models for Categorical Data
• A Method for Minimizing the Impact of Distributional Assumptions in Econometric Models for Duration Data
• On the Effect of the Number of Quadrature Points in a Logistic Random Effects Model: An Example
• Multilevel mixed linear model analysis using iterative generalized least squares
• Estimation of a Model with Multiple Indicators and Multiple Causes of a Single Latent Variable
• Nonparametric Maximum Likelihood Estimation of a Mixing Distribution
• Sample Selection Bias as a Specification Error
• Maximum likelihood estimation for unbalanced multilevel covariance structure models via the EM algorithm
• Beyond SEM: General Latent Variable Modeling
• Multilevel models for censored and latent responses
• Correcting for covariate measurement error in logistic regression using nonparametric maximum likelihood estimation
• Balanced versus unbalanced designs for linear structural relations in two‐level data

This page was built for publication: Generalized multilevel structural equation modeling