You can get bootstrapped standard errors but you need the actual data, specify se="bootstrap". Standard errors here use the delta method (see ).
Output pretty much reproduces the results in the original article. But, we can have lavaan do that as well so long as we name the paths. We can manually compute the direct, indirect, and total effects. Output shows the estimates, standard errors, p values. # Estimate Std.Err z-value P(>|z|) Std.lv Std.all library(lavaan) # This is lavaan 0.5-21 # lavaan is BETA software! Please report any bugs. Get the article so you can compare results and look at their specified model.
#Freeware mbox to pst full#
Using the lower-half of the correlation matrix, we’ll generate a full correlation matrix using the lav_matrix_lower2full function in lavaan.
The data will be based on the correlation matrix found in the article “Applying to Graduate School” (Ingram, Cope, Harju, & Wuensch, 2000), Journal of Social Behavior and Personality.
#Freeware mbox to pst install#
You need to install the lavaan package ( LAtent VAriable ANalaysis) for this exercise. There are four general steps in running a path analysis using R. Path Analysis with R Francis Huang March 26, 2016
0 kommentar(er)
