Parallel analysis using polychoric correlation

Identify the number of factors

Usage

pa_poly(data, n.iter = 10, figure = TRUE)

data: a \(N \times J\) matrix or a data.frame that consists of the responses of \(N\) individuals to \(J\) items without any missing values. The responses are binary or polytomous.
n.iter: Number of simulated analyses to perform
figure: By default, pa_poly draws an eigenvalue plot. If FALSE, it suppresses the graphic output

pa_poly returns a data.frame with the eigenvalues for the real data and the simulated data.

Jiaying Xiao <jxiao6@uw.edu>

if (FALSE) { # \dontrun{
pa_poly(C2PL_data$data, n.iter=20)} # }