lavaan: An R Package for Structural Equation Modeling
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Summary
The aims behind the development of the lavaan package are explained, an overview of its most important features are given, and some examples to illustrate how lavaan works in practice are provided.
- Type
- article
- Published
- 2012-05-24
- Cited by
- 26,188
- References
- 53
- Access
- Open access
- OpenAlex
- https://openalex.org/W1913957972
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:60879808
Keywords
Structural equation modeling, Computer science, Latent variable, Software package, Field (mathematics)
References
- Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability; Vol. IV
- Handbook of latent variable and related models
- Nonnormal and categorical data in structural equation modeling
- Lisrel 8: User's Reference Guide
- Statistical Inference in Factor Analysis
- A scaled difference chi-square test statistic for moment structure analysis
- The robustness of test statistics to nonnormality and specification error in confirmatory factor analysis.
- Asymptotic Confidence Intervals for Indirect Effects in Structural Equation Models
- Generalized Latent Variable Modeling: Multilevel,Longitudinal, and Structural Equation Models
- Estimation of Regression Relationships Containing Unobservable Independent Variables
- EQS Goes R: Simulations for SEM Using the Package REQS
- Generalized multilevel structural equation modeling
- A general method for analysis of covariance structures
- The Performance of ML, GLS, and WLS Estimation in Structural Equation Modeling Under Conditions of Misspecification and Nonnormality
- The Treatment of Unobservable Variables in Path Analysis
- Scaled test statistics and robust standard errors for non-normal data in covariance structure analysis: a Monte Carlo study.
- A General Method for Estimating a Linear Structural Equation System.
- Bootstrapping Goodness-of-Fit Measures in Structural Equation Models
- Path Analysis: Sociological Examples
- Structural Equation Models in the Social Sciences.
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