snc {snc}R Documentation

Strongest Neighbor Coherence (SNC)

Description

Computes Strongest Neighbor Coherence (SNC), a rotation-free structural diagnostic that evaluates how well each item aligns with its top-k most strongly correlated neighbors.

Usage

snc(R, k = 2, factors = NULL, digits = 3)

Arguments

R

A square item correlation matrix (symmetric, 1s on the diagonal).

k

Integer. Number of strongest neighbors to use for each item (default = 2).

factors

Optional. A vector of factor assignments for items, used to compute group-level means.

digits

Number of decimal places to round to (default = 3).

Value

An object of class "snc" with:

overall

Mean SNC value across all items

items

A data frame of item-level SNC values

factors

(Optional) A data frame of factor-level mean SNC values

Examples

R <- matrix(c(1, .6, .3, .6, 1, .5, .3, .5, 1), 3, 3)
rownames(R) <- colnames(R) <- c("Item1", "Item2", "Item3")
snc(R)


[Package snc version 0.1.0 Index]