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psych (version 1.0-25)

Procedures for Personality and Psychological Research

Description

A number of routines for personality, psychometrics and experimental psychology, Functions are primarily for scale construction and reliability analysis, although others are basic descriptive stats, For more information, see the personality-project.org/r

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Version

Install

install.packages('psych')

Monthly Downloads

242,751

Version

1.0-25

License

GPL version 2 or newer

Maintainer

William Revelle

Last Published

March 21st, 2025

Functions in psych (1.0-25)

VSS.scree

Plot a scree test
ICLUST.graph

create control code for ICLUST graphical output
factor.congruence

Coefficient of factor congruence
cluster.fit

cluster Fit: fit of the cluster model to a correlation matrix
cluster.cor

Find correlations of composite variables from a larger matrix
describe

Basic descriptive statistics useful for psychometrics
congeneric.sim

Simulate a congeneric data set
VSS.simulate

create VSS like data
eigen.loadings

Convert eigen vectors and eigen values to the more normal (for psychologists) component loadings
factor.residuals

R* = R- F F'
circ.simulation

Simulations of circumplex and simple structure
correct.cor

Find dis-attenuated correlations and give alpha reliabilities
alpha.scale

Cronbach alpha for a scale
factor.rotate

"Hand" rotate a factor loading matrix
item.sim

Generate simulated data structures for circumplex or simple structure
ICLUST.rgraph

Draw an ICLUST graph using the Rgraphviz package
VSS

Apply the Very Simple Structure criterion to determine the appropriate number of factors.
fisherz

Fisher z transform of r
psycho.demo

Create demo data for psychometrics
poly.mat

Find polychoric correlations of item data
matrix.addition

A function to add two vectors or matrices
circ.tests

Apply four tests of circumplex versus simple structure
fa.graph

Graph factor loading matrices
cluster.loadings

Find item by cluster correlations, corrected for overlap and reliability
score.alpha

Score scales and find Cronbach's alpha as well as associated statistics
error.crosses

Plot x and y error bars
irt.1p

Item Response Theory estimate of theta (ability) using a Rasch (like) model
ICLUST.cluster

Function to form hierarchical cluster analysis of items
ICLUST.sort

sort items by absolute size of cluster loadins
test.psych

Testing of functions in the psych package
make.hierarchical

Create a population or sample correlation matrix with hierachical structure.
factor.fit

How well does the factor model fit a correlation matrix. Part of the VSS package
count.pairwise

Count number of pairwise cases for a data set with missing (NA) data.
ICLUST

ICLUST: Item Cluster Analysis -- Hierarchical cluster analysis using psychometric principles
omega

Calculate the omega estimate of factor saturation
geometric.mean

Find the geometric mean of a vector or columns of a data.frame.
harmonic.mean

Find the harmonic mean of a vector, matrix, or columns of a data.frame
VSS.parallel

Compare real and random VSS solutions
irt.item.diff.rasch

Simple function to estimate item difficulties using IRT concepts
omega.graph

Graph hierarchical factor structures
VSS.plot

Plot VSS fits
pairs.panels

SPLOM, histograms and correlations for a data matrix
factor2cluster

Extract cluster definitions from factor loadings
factor.model

Find R = F F' + U2 is the basic factor model
describe.by

Basic summary statistics by group
kurtosi

Kurtosis of a vector, matrix, or data frame
00psych-package

A package for personality, psychometric, and psychological research
paired.r

Test the difference between paired correlations
polychor.matrix

Actually, what does this do? Convert a matrix of phi coefficients to a matrix of polycoric correlations
fa.parallel

Scree plots of data or correlation matrix compared to random ``parallel" matrix
factor.pa

Principal Axis Factor Analysis
phi2poly

Convert a phi coefficient to a polychoric correlation
multi.hist

Multiple histograms on one screen
phi

Find the phi coefficient of correlation between two dichotomous variables
mat.regress

Multiple Regression from matrix input
principal

Principal components analysis
schmid

Apply the Schmid Leiman transformation to a correlation matrix
score.items

Score item composite scales and find Cronbach's alpha as well as associated statistics
skew

Calculate skew for a vector, matrix, or data.frame
read.clipboard

shortcut for reading from the clipboard