检索简单拉瓦模型整体显着性的 p 值

Question

如何检索简单 lavaan 模型整体显着性的 p 值？

与使用 lm() 完成的标准线性回归中 F 统计量的 p 值类似。

model <- sem('criterion ~ predictor1 + predictor2', data = data, missing = "FIML", fixed.x = FALSE, se = "BOOTSTRAP", bootstrap = 5000)
summary(model, standardize = FALSE, ci = TRUE, rsquare = T)

Answer 1

有几个选项您可以尝试！您可以首先将其传递给摘要，而不是摆弄 S4 对象的访问元素。另一种选择是让

purrr::pluck

做肮脏的工作。

library(lavaan)
#> This is lavaan 0.6-17
#> lavaan is FREE software! Please report any bugs.
library(tidyverse)

data(PoliticalDemocracy, package = 'lavaan')

model <- '
# measurement model
ind60 =~ x1 + x2 + x3
dem60 =~ y1 + y2 + y3 + y4
dem65 =~ y5 + y6 + y7 + y8
# regressions
dem60 ~ ind60
dem65 ~ ind60 + dem60
# residual correlations
y1 ~~ y5
y2 ~~ y4 + y6
y3 ~~ y7
y4 ~~ y8
y6 ~~ y8'

fit = sem(model, data = PoliticalDemocracy, missing = "FIML")


tidyish_way = fit |> 
  pluck('test', 'standard', 'pvalue') 


base_way = summary(fit, standardize = FALSE,
 ci = TRUE, rsquare = TRUE)$test$standard$pvalue


print(tidyish_way)
#> [1] 0.3291804
print(base_way)
#> [1] 0.3291804

summary(fit)
#> lavaan 0.6.17 ended normally after 68 iterations
#> 
#>   Estimator                                         ML
#>   Optimization method                           NLMINB
#>   Number of model parameters                        31
#> 
#>   Number of observations                            75
#> 
#> Model Test User Model:
#>                                                       
#>   Test statistic                                38.125
#>   Degrees of freedom                                35
#>   P-value (Chi-square)                           0.329

^{创建于 2024-05-14，使用 reprex v2.1.0}