lavaan.survey: An R Package for Complex Survey Analysis of Structural Equation Models
By Daniel L. Oberski. 2014
429 citations recorded by the source corpus.
This paper introduces the R package lavaan.survey, a user-friendly interface to design-based complex survey analysis of structural equation models (SEMs). By leveraging existing code in the lavaan and survey packages, the lavaan.survey package allows for SEM analyses of stratified, clustered, and weighted data, as well as multiply imputed complex survey data. lavaan.survey provides several features such as SEMs with replicate weights, a variety of resampling techniques for complex samples, and finite population corrections, features that should prove useful for SEM practitioners faced with the common situation of a sample that is not iid.
Subfields: Economics and Econometrics, Environmental Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/4ff86d4dbf7eda196289abd98b7882af15071117
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In Economics and Econometrics
- Joel Kaji
- P. George
- R. Lazarus
- F. Seaton
- Rui Alexandre Alves
- S. Creer
- Patrick E. McKnight
- Davey L. Jones
In Environmental Engineering
- Joel Kaji
- P. George
- R. Lazarus
- F. Seaton
- Rui Alexandre Alves
- S. Creer
- Patrick E. McKnight
- Davey L. Jones
In Statistics and Probability
- Joel Kaji
- P. George
- R. Lazarus
- F. Seaton
- Rui Alexandre Alves
- S. Creer
- Patrick E. McKnight
- Davey L. Jones
Citations in the corpus
- Soil textural heterogeneity impacts bacterial but not fungal diversity (2020, methodology): “survey package to account for the spatial structure of the data by incorporating square identity (Oberski, 2014).”
- Examining the transcription-writing link: Effects of handwriting fluency and spelling accuracy on writing performance via planning and translating in middle grades (2017, methodology): “survey package, which allows structural equation modeling analyses of clustered data (Oberski, 2014).”
- The five-dimensional curiosity scale: Capturing the bandwidth of curiosity and identifying four unique subgroups of curious people (2018, positive): “We began with a confirmatory factor analysis (CFA) on the 5DC items using full maximum-likelihood estimation with robust standard errors and a Santorra-Bentler test statistic - estimated with lavaan (Rosseel, 2012), the latent variable analysis package in R along with the lavaan survey package to ac”