psychometric-package: Applied Psychometric Theory

In psychometric: Applied Psychometric Theory

Applied Psychometric Theory

Description

Contains functions useful for correlation theory, meta-analysis (validity-generalization), reliability, item analysis, inter-rater reliability, and classical utility

Details

Package:	psychometric
Type:	Package
Version:	2.4
License:	GPL (version 2.0 or later)

This package corresponds to the basic concepts encountered in an introductory course in Psychometric Theory at the Graduate level. It is especially useful for Industrial/Organizational Psychologists, but will be useful for any student or practitioner of psychometric theory. I originally developed this package to correspond with concepts covered illustrated in PSYC 7429 at the University of MO - St. Louis course in Psychometric Theory.

Author(s)

Thomas D. Fletcher
Strategic Resources
State Farm Insurance Cos.

Maintainer: Thomas D. Fletcher [e-mail]

See Also

multilevel-package ltm-package psy-package polycor-package nlme-package

Examples

# Convert Pearson r to Fisher z'
r2z (.51)
# Convert Fisher z' to r
z2r (.563)

# Construct a CI about a True Score
# Observed = 700, Test Ave. = 500, SD = 100, and reliability = .9
CI.tscore (700, 500, 100, .9)

# Compute the classical utility of a test
# Assuming base-rate = .5, selection ratio = .5 and rxy = .5
ClassUtil(rxy=.5, BR=.5, SR=.5)

# Examine test score items
data(TestScores)
item.exam(TestScores[,1:10], y = TestScores[,11], discrim=TRUE)

psychometric documentation built on Nov. 6, 2023, 1:06 a.m.