p_value {attenuation} | R Documentation |
This function calculates four types of p-values for correlations coefficients
corrected for attenuation, chosen in "method". The different p-values
are described in Moss (2019). "corr"
is the correlation based
p-value, "cronbach"
is the Cronbach alpha based p-value,
"HS"
is the Hunter-Schmidt p-value, while "free"
is the
correlation based p-value without positive constraints.
p_value(rho, r, N, method = "corr", k = NULL)
rho |
Numeric vector in [-1,1]. The correlation under the null hypothesis. |
r |
Numeric vector of three elements in [-1,1]. |
N |
Numeric vector of three positive integers. |
method |
The type of p-value. Can be |
k |
Numeric vector of two positive integers. |
Numeric in [0, 1]. The p-value under the null-hypothesis that the true correlation is rho.
r = c(0.20, sqrt(0.45), sqrt(0.55)) N = c(100, 100, 100) p_value(rho = 0, r, N) # Tests rho = 0.