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psych (version 1.0-18)

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

1.0-18

License

GPL version 2 or newer

Maintainer

William Revelle

Last Published

March 21st, 2025

Functions in psych (1.0-18)

sort items by absolute size of cluster loadins

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

Basic descriptive statistics useful for psychometrics

Basic summary statistics by group

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

create VSS like data

Fisher z transform of r

Principal Axis Factor Analysis

Extract cluster definitions from factor loadings

Cronbach alpha for a scale

"Hand" rotate a factor loading matrix

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

Plot a scree test

00psych-package

A package for personality, psychometric, and psychological research

Compare real and random VSS solutions

cluster.loadings

Find item by cluster correlations, corrected for overlap and reliability

Convert a phi coefficient to a polychoric correlation

Plot x and y error bars

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

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

Kurtosis of a vector, matrix, or data frame

Find dis-attenuated correlations and give alpha reliabilities

Principal components analysis

factor.congruence

Coefficient of factor congruence

Generate simulated data structures for circumplex or simple structure

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

Function to form hierarchical cluster analysis of items

create control code for ICLUST graphical output

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

Apply the Schmid Leiman transformation to a correlation matrix

Multiple histograms on one screen

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

Extract eigen vectors, eigen values, show loadings

Create demo data for psychometrics

Find correlations of composite variables from a larger matrix

factor.residuals

circ.simulation

Simulations of circumplex and simple structure

polychor.matrix

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

irt.item.diff.rasch

Simple function to estimate item difficulties using IRT concepts

matrix.addition

A function to add two vectors or matrices

Find the phi coefficient of correlation between two dichotomous variables

Multiple Regression from matrix input

make.hierarchical

Create a population or sample correlation matrix with hierachical structure.

Test the difference between paired correlations

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

Apply four tests of circumplex versus simple structure

SPLOM, histograms and correlations for a data matrix

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

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

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

Calculate the omega estimate of factor saturation

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