Structural equation models with continuous and polytomous variables
Explore this paper's citation graph
- Type
- article
- Published
- 1992-03-01
- Cited by
- 122
- References
- 32
- OpenAlex
- https://openalex.org/W2070459503
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:123088467
Keywords
Polytomous Rasch model, Polychoric correlation, Mathematics, Covariance, Transformation (genetics)
References
- Multivariate normal probabilities with error bound
- Model Conditions for Asymptotic Robustness in the Analysis of Linear Relations
- A general structural equation model with dichotomous, ordered categorical, and continuous latent variable indicators
- A study of algorithms for covariance structure analysis with specific comparisons using factor analysis
- Maximum likelihood estimation of polyserial correlations
- Factor analysis of dichotomized variables
- Probability plotting methods for the analysis of data.
- The multiplier method in constrained estimation of covariance structure models
- Full maximum likelihood analysis of structural equation models with polytomous variables
- Matrix derivatives with chain rule and rules for simple, Hadamard, and Kronecker products
- A Method of Generating Best Asymptotically Normal Estimates with Application to the Estimation of Bacterial Densities
- Robustness of statistical inference in factor analysis and related models
- The effect of sampling error on convergence, improper solutions, and goodness-of-fit indices for maximum likelihood confirmatory factor analysis
- A three-stage estimation procedure for structural equation models with polytomous variables
- EQS : structural equations program manual
- Some contributions to efficient statistics in structural models: Specification and estimation of moment structures
- Contributions to factor analysis of dichotomous variables
- Generalized Least Squares Estimators in the Analysis of Covariance Structures.
- The polyserial correlation coefficient
- Fitting a response model forn dichotomously scored items
Cited by
- Adolescent mental health services utilization: influences of family and social context
- Robust Estimation and Inference for Generalised Latent Trait Models
- Pairwise Likelihood Ratio Tests and Model Selection Criteria for Structural Equation Models with Ordinal Variables
- A Comparison of Methods for Structural Modeling with Polytomous and Continuous Variables.
- Multilevel IRT using dichotomous and polytomous response data.
- Composite Likelihood Estimation for Latent Variable Models with Ordinal and Continuous, or Ranking Variables
- Contributions aux modèles d'équations structurelles à variables latentes. (Contributions to path modeling with latent variables)
- Latent variable models for mixed manifest variables
- A Generalized Estimating/Pseudo-Score Equations Approach for the Estimation of Structural Equation Models
- A Bayesian semiparametric latent variable model for binary, ordinal and continuous response
- Ridge Structural Equation Modeling with Correlation Matrices for Ordinal and Continuous Data
- Análisis de variables ordinales enmodelos de variable latente: evaluación de métodos de estimación y procedimientos de ajuste
- Linear Dependencies Represented by Chain Graphs
- Bayesian Structural Equations Modeling for Ordinal Response Data with Missing Responses and Missing Covariates
- Analysis of structural equation model with ignorable missing continuous and polytomous data
- A Latent Variable Model for Ordinal Variables
- Statistical analysis of nonlinear structural equation models with continuous and polytomous data.
- A LOG-BILINEAR MODEL WITH LATENT VARIABLES
- Squeezing interval change from ordinal panel data: latent growth curves with ordinal outcomes.
- ASYMPTOTIC EXPANSIONS OF THE DISTRIBUTIONS OF THE POLYSERIAL CORRELATION COEFFICIENTS
Related papers
- The Polychoric Ordinal Alpha, measuring the reliability of a set of polytomous ordinal items
- Assessing Unidimensionality of Polytomous Data
- Estimation of multivariate polychoric and polyserial correlations with missing observations.
- Using Covariance Modeling for Estimating Reliability on Scales with Ordered Polytomous Variables
- The Modification of Dichotomous and Polytomous Item Response Theory to Structural Equation Modeling Analysis
- Covariance structural analysis with polytomous variables in several populations
- RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data: The story they tell depends on the estimation methods
- The Effect of Collapsing Ordered Polytomous Scales on Parameter Estimates in Structural Equation Measurement Models
- A Tutorial on Covariance-based Structural Equation Modeling using R: focused on "lavaan" Package