plotqcv: Plot for Quantifying Construct Validity

In qcv: Quantifying Construct Validity

Description

Produces a plot of actual and predicted correlations

Usage

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)

qcv documentation built on May 1, 2019, 9:15 p.m.