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psych (version 1.0-23)

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

1.0-23

License

GPL version 2 or newer

Homepage

http://personality-project.org/r

Maintainer

William Revelle

Last Published

March 21st, 2025

Functions in psych (1.0-23)

sort items by absolute size of cluster loadins

Cronbach alpha for a scale

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

Simulate a congeneric data set

Kurtosis of a vector, matrix, or data frame

circ.simulation

Simulations of circumplex and simple structure

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

Function to form hierarchical cluster analysis of items

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

Plot x and y error bars

factor.residuals

Calculate the omega estimate of factor saturation

Multiple Regression from matrix input

Multiple histograms on one screen

Graph hierarchical factor structures

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

create VSS like data

Principal components analysis

Principal Axis Factor Analysis

Testing of functions in the psych package

Apply four tests of circumplex versus simple structure

Create demo data for psychometrics

cluster.loadings

Find item by cluster correlations, corrected for overlap and reliability

Find correlations of composite variables from a larger matrix

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

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

Generate simulated data structures for circumplex or simple structure

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

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

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

Basic summary statistics by group

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

Draw an ICLUST graph using the Rgraphviz package

Apply the Schmid Leiman transformation to a correlation matrix

Fisher z transform of r

Plot a scree test

00psych-package

A package for personality, psychometric, and psychological research

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

irt.item.diff.rasch

Simple function to estimate item difficulties using IRT concepts

"Hand" rotate a factor loading matrix

Test the difference between paired correlations

matrix.addition

A function to add two vectors or matrices

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

Convert a phi coefficient to a polychoric correlation

Basic descriptive statistics useful for psychometrics

create control code for ICLUST graphical output

Find polychoric correlations of item data

polychor.matrix

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

SPLOM, histograms and correlations for a data matrix

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

Find the phi coefficient of correlation between two dichotomous variables

Find dis-attenuated correlations and give alpha reliabilities

Compare real and random VSS solutions

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

make.hierarchical

Create a population or sample correlation matrix with hierachical structure.

factor.congruence

Coefficient of factor congruence

Graph factor loading matrices

Extract cluster definitions from factor loadings

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