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psych (version 1.0-58)

Procedures for Personality, Psychometric, and Psychological Research

Description

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

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Version

Install

install.packages('psych')

Monthly Downloads

233,898

Version

1.0-58

License

GPL version 2 or newer

Homepage

http://personality-project.org/r

Maintainer

William Revelle

Last Published

March 21st, 2025

Functions in psych (1.0-58)

create control code for ICLUST graphical output

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

Simulate a congeneric data set

From a two by two table, find the Yule coefficients of association, convert to phi, or polychoric, recreate table the table to create the Yule coefficient.

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

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

Compare real and random VSS solutions

25 Personality items representing 5 factors

Basic summary statistics by group

Galton's example of the relationship between height and 'cubit' or forearm length

Graph factor loading matrices

Apply the Very Simple Structure and MAP criteria to determine the appropriate number of factors.

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

matrix.addition

A function to add two vectors or matrices

circ.simulation

Simulations of circumplex and simple structure

Create a keys matrix for use by score.items or cluster.cor

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

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

Fisher r to z and z to r and confidence intervals

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

Find the Standard deviation for a vector, matrix, or data.frame - do not return error if there are no cases

Find the probability of replication for an F, t, or r and estimate effect size

Generate simulated data structures for circumplex or simple structure

Combine calls to head and tail

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

make.hierarchical

Create a population or sample correlation matrix, perhaps with hierarchical structure.

Sort items by absolute size of cluster loadings

Convert a phi coefficient to a polychoric correlation

Create demo data for psychometrics

Find the phi coefficient of correlation between two dichotomous variables

Principal components analysis

Function to form hierarchical cluster analysis of items

Calculate the omega estimate of factor saturation

Plot data and 1 and 2 sigma correlation ellipses

Plotting functions for the psych package of class ``psych"

Function to convert scores to ``conventional " metrics

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

Testing of functions in the psych package

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

Find dis-attenuated correlations and give alpha reliabilities

factor.congruence

Coefficient of factor congruence

Find polychoric correlations of item data

Plot a scree test

Alternative estimates of test reliabiity

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

Graph hierarchical factor structures

Find the trace of a square matrix

Kurtosis of a vector, matrix, or data frame

Plot factor/cluster loadings and assign items to clusters by their highest loading.

Draw an ICLUST graph using the Rgraphviz package

Apply the Schmid Leiman transformation to a correlation matrix

factor.residuals

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

``Hand" rotate a factor loading matrix

Intraclass Correlations (ICC1, ICC2, ICC3 from Shrout and Fleiss)

Multiple Regression from matrix input

3 Measures of ability: SATV, SATQ, ACT

create VSS like data

Find the interpolated sample median, quartiles, or specific quantiles for a vector, matrix, or data frame

Print and summary functions for the psych class

Find Cohen's kappa and weighted kappa coefficients for correlation of two raters

Test the difference between (un)paired correlations

Convert a table with counts to a matrix or data.frame representing those counts.

Find correlations of composite variables from a larger matrix

Plot means and confidence intervals for multiple groups

Convert base rates of two diagnoses and their comorbidity into phi, Yule, and tetrachorics

Find the Squared Multiple Correlation (SMC) of each variable with the remaining variables in a matrix

shortcut for reading from the clipboard

Multiple histograms with density and normal fits on one page

A package for personality, psychometric, and psychological research

cluster.loadings

Find item by cluster correlations, corrected for overlap and reliability

Principal Axis Factor Analysis

Distances between 11 US cities

Plot x and y error bars

Convert a cluster vector (from e.g., kmeans) to a keys matrix suitable for scoring item clusters.

Apply four tests of circumplex versus simple structure

Plot means and confidence intervals

13 personality scales from the Eysenck Personality Inventory and Big 5 inventory

polychor.matrix

Phi or Yule coefficient matrix to polychoric coefficient matrix

Extract cluster definitions from factor loadings

Tests of significance for correlations

Galton's Mid parent child height data

SPLOM, histograms and correlations for a data matrix

Find the partial correlations for a set (x) of variables with set (y) removed.

Find the Winsorized scores or means for a vector, matrix, or data.frame

Cronbach alpha for a scale

A data.frame of the Galton (1888) height and cubit data set.

irt.item.diff.rasch

Simple function to estimate item difficulties using IRT concepts

Test the adequacy of simple choice, logistic, or Thurstonian scaling.

score.multiple.choice

Score multiple choice items and provide basic test statistics

Paired comparison of preferences for 9 vegetables

bartlett.cortest

Bartlett's test that a correlation matrix is an identity matrix

Basic descriptive statistics useful for psychometrics

14 multiple choice IQ items

Chi square test of whether a single matrix is an identity matrix, or a pair of matrices are equal.

Convert Cartesian factor loadings into polar coordinates

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

Thurstone Case V scaling