indexBieri: Bieri's index of cognitive complexity

In markheckmann/OpenRepGrid: Tools to Analyze Repertory Grid Data

Bieri's index of cognitive complexity

Description

The index builds on the number of rating matches between pairs of constructs. It is the relation between the total number of matches and the possible number of matches.

Usage

indexBieri(x, deviation = 0)

Arguments

x	A repgrid object.
deviation	Maximal difference between ratings to be considered a match (default 0 = identical scores for a match).

Details

CAVEAT: The Bieri index will change when constructs are reversed.

Value

List of class indexBieri:

• grid: The grid used to calculate the index

• deviation The deviation parameter.

• matches_max Maximum possible number of matches across constructs.

• matches Total number of matches across constructs.

• constructs: Matrix with no. of matches for constructs.

• bieri: Bieri index (= matches / matches_max)

Examples

m <- indexBieri(boeker)

# several output options
print(m)
print(m, output = "IC")  # construct matches

# extract the matrix of matches
m$constructs

# CAVEAT: Bieri's index changes when constructs are reversed
nr <- nrow(boeker)
l <- replicate(1000, swapPoles(boeker, sample(nr, sample(nr, 1))))
bieri <- sapply(l, function(x) indexBieri(x)$bieri)
hist(bieri, breaks = 50)
abline(v = mean(bieri), col = "red", lty = 2)

markheckmann/OpenRepGrid documentation built on April 14, 2024, 8:15 a.m.