2014
DOI: 10.18637/jss.v057.i01
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lavaan.survey: AnRPackage for Complex Survey Analysis of Structural Equation Models

Abstract: This paper introduces the R package lavaan.survey, a user-friendly interface to designbased 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… Show more

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Cited by 357 publications
(285 citation statements)
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“…The hypothesized model depicted in Figure 1 was fitted with the R system for statistical computing (R Development Core Team, 2005). Since data collection occurred in classroom groups (N = 10), structural equation modeling was conducted using the lavaan.survey package, which allows structural equation modeling analyses of clustered data (Oberski, 2014). The method of estimation was maximumlikelihood with robust standard errors, which takes into account the non-independence of the observations and any effects of non-normality.…”
Section: Data-analytic Strategymentioning
confidence: 99%
“…The hypothesized model depicted in Figure 1 was fitted with the R system for statistical computing (R Development Core Team, 2005). Since data collection occurred in classroom groups (N = 10), structural equation modeling was conducted using the lavaan.survey package, which allows structural equation modeling analyses of clustered data (Oberski, 2014). The method of estimation was maximumlikelihood with robust standard errors, which takes into account the non-independence of the observations and any effects of non-normality.…”
Section: Data-analytic Strategymentioning
confidence: 99%
“…A path model was accepted if its CFI and TLI were at least 0.96, RMSEA at most 0.06 and SRMR at most 0.09 21. The mediation effect was calculated using the Delta method with the lavaan package of the R Statistical Software 22. The statistical significance of the indirect effect indicates a mediator effect and the proportion of mediation showed the strength of mediation.…”
Section: Methodsmentioning
confidence: 99%
“…Thus, we used the multiple measures as indicator variables of two latent variables: participant and partner affiliative behavior (i.e., general positive affect, smiling, laughing, sociability) as well as participant and partner friendship initiation (i.e., coder-rated friendship initiation, self-rated friendship initiation, email exchange) using multilevel structural equation modeling (MSEM). We used the lavaan (Rosseel, 2012) and lavaan.survey (Oberski, 2014) packages in R to conduct the analysis with participants nested in dyads and the semPlot package (Epskamp, 2014) to create figures from our models. A correlation matrix of all variables included in this analysis is provided in Table 2 Figure S6 in Supplemental Materials).…”
Section: Affiliative Behaviors and Friendship Initiationmentioning
confidence: 99%