plotqcv function

Plot for Quantifying Construct Validity

Produces a plot of actual and predicted correlations

plotqcv(actr, predr, labels)

Arguments

• actr: vector of actual validity correlations
• predr: vector of predicted validity correlations (in same order as actr)
• labels: vector of text values that are the labels of the QCV criterion variables (in order of actr and predr)

Details

Important: When entering values for the three arguments, order them identically. For example, if the "actr" values are ordered in terms of c(criterion A, criterion B, criterion C), then the values in "predr" and the labels in "labels" should be placed in that same order.

Examples

actrIM  <- c(.46, .13, -.24, -.03, .12, .03, .39, .06, .51, .08, .24, .66)
predrIM <- c(.58, .24, -.04, .06, -.04, .18, .36, .08, .64, .56, .36, .56)
labelsIM <- c("Dep","Mach","Dis","Res","SE","Ext","Agr","Comp","PSC","SM","Anx","NTB")
plotqcv(actr=actrIM, predr=predrIM, labels=labelsIM)