Within-Person Random Intercept Factor Model

wprifm(data, scale = FALSE, save_model = FALSE)

Arguments

data: Data.frame containing the manifest variables.
scale: Should the data be scaled? Default = FALSE
save_model: Should the temporary lavaan model syntax be saved. Default = FALSE

Value

an object of class lavaan

Details

This function performs the within-person random intercept factor model described in Davison, Kim, and Close (2009). For information about this model, please see this reference. This function returns an object of lavaan class and thus any generics defined for lavaan will work on this object. This function provides a simple wrapper for lavaan.

References

Davison, M., Kim, S.-K., Close, C. (2009). Factor analytic modeling of within person variation in score profiles. Multivariate Behavioral Research, 44(5), 668 - 687. DOI: 10.1080/00273170903187665

Examples

data <- HolzingerSwineford1939[,7:ncol(HolzingerSwineford1939)]
wprifm(data, scale = TRUE)
#> lavaan 0.6-9 ended normally after 21 iterations
#> 
#>   Estimator                                         ML
#>   Optimization method                           NLMINB
#>   Number of model parameters                        20
#>   Number of equality constraints                     1
#>                                                       
#>   Number of observations                           301
#>                                                       
#> Model Test User Model:
#>                                                       
#>   Test statistic                               158.922
#>   Degrees of freedom                                26
#>   P-value (Chi-square)                           0.000