psychometric-package {psychometric} | R Documentation |
Contains functions useful for correlation theory, meta-analysis (validity-generalization), reliability, item analysis, inter-rater reliability, and classical utility
Package: | psychometric |
Type: | Package |
Version: | 2.1 |
Date: | 2008-012-13 |
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.
Thomas D. Fletcher
Strategic Resources
State Farm Insurance Cos.
Maintainer: Thomas D. Fletcher tom.fletcher.mp7e@statefarm.com
multilevel-package
ltm-package
psy-package
polycor-package
nlme-package
# 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)