CRAN/E | TaylorRussell

TaylorRussell

A Taylor-Russell Function for Multiple Predictors

Installation

About

The Taylor Russell model is a widely used method for assessing test validity in personnel selection tasks. The three functions in this package extend this model in a number of notable ways. TR() estimates test validity for a single selection test via the original Taylor Russell model. It extends this model by allowing users greater flexibility in argument choice. For example, users can specify any three of the four parameters (base rate, selection ratio, criterion validity, and positive predictive value) of the Taylor Russell model and estimate the remaining parameter (see the help file for examples). The TaylorRussell() function generalizes the original Taylor Russell model to allow for multiple selection tests (predictors). To our knowledge, this is the first generalization of the Taylor Russell model to allow for three or more selection tests (it is also the first to correctly handle models with two selection tests). TRDemo() is a 'shiny' program for illustrating the underlying logic of the Taylor Russell model. Taylor, HC and Russell, JT (1939) "The relationship of validity coefficients to the practical effectiveness of tests in selection: Discussion and tables" doi:10.1037/h0057079.

Citation TaylorRussell citation info

Key Metrics

Version 1.2.1
R ≥ 3.5
Published 2023-12-04 156 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks TaylorRussell results

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Maintainer

Maintainer

Niels Waller

nwaller@umn.edu

Authors

Niels Waller

aut / cre

Ziyu Ren

ctb

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

TaylorRussell archive

Depends

R ≥ 3.5

Imports

mvtnorm
shiny
shinyWidgets

Suggests

rmarkdown
knitr