wp.mc.chisq.diff | R Documentation |
This function is for SEM power analysis based on the chi-square difference test.
wp.mc.chisq.diff(full.model.pop, full.model,
reduced.model, N=100, R=1000, alpha=0.05)
full.model.pop |
Full model (under the alternative hypothesis) with population parameters. |
full.model |
Full model (under the alternative hypothesis) lavaan specification. |
reduced.model |
Reduced model (under the null hypothesis) lavaan specification. |
N |
Sample size. |
R |
Number of Monte Carlo replications. |
alpha |
significance level chosed for the test. It equals 0.05 by default. |
An object of the power analysis.
power |
Statistical power. |
df |
Degrees of freedom |
chi.diff |
Chi-square differences between the reduced model and the full model |
Demidenko, E. (2007). Sample size determination for logistic regression revisited. Statistics in medicine, 26(18), 3385-3397.
Zhang, Z., & Yuan, K.-H. (2018). Practical Statistical Power Analysis Using Webpower and R (Eds). Granger, IN: ISDSA Press.
set.seed(20220722)
full.model.pop <-'
y1 ~ 0.4*x
y2 ~ 0.5*x + 0.2*y1
y3 ~ 0.4*x
y4 ~ 0.4*y1 + 0.4*y2 + 0.4*y3
y1 ~~ 0.84*y1
y2 ~~ 0.61*y2
y3 ~~ 0.84*y3
y4 ~~ 0.27*y4
'
full.model <-'
y1 ~ x
y2 ~ x + y1
y3 ~ x
y4 ~ y1 + y2 + y3
'
reduced.model <-'
y1 ~ x
y2 ~ x
y3 ~ x
y4 ~ y1 + y3
'
wp.mc.chisq.diff(full.model.pop, full.model, reduced.model)
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