Description
Percentage of Variance Accounted for by the First Factor (PVAFF) is used as a measure of cognitive complexity. The idea was introduced in an unpublished PhD thesis by Jones Bonarius (1965). To calculate it, the first factor is extracted from the construct correlation matrix by principal component analysis. The PVAFF reflects the amount of variation that is accounted for by a single latent linear component. If a single component is able to explain a lot of variation in the grid, the cognitive complexity is said to be low and the construct system is attributed the term simple (Bell, 2003). It is argued, that as a consequence of a simple constructs system, less differentiation in anticipated events can be generated (cf. Adams-Webber, 1970).
R-Code
indexPvaff(bell2010)
# Note: As of v0.1.14 PVAFF is derived using PCA of the construct centered ratings by default.Before that the construct correlation matrix was used (see method=2).
# [1] 0.3402002
Note that the value returned is the proportion not the percentage.