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psych (version 1.9.12.31)

Procedures for Psychological, Psychometric, and Personality Research

Description

A general purpose toolbox for personality, psychometric theory and experimental psychology. Functions are primarily for multivariate analysis and scale construction using factor analysis, principal component analysis, cluster analysis and reliability analysis, although others provide basic descriptive statistics. Item Response Theory is done using factor analysis of tetrachoric and polychoric correlations. Functions for analyzing data at multiple levels include within and between group statistics, including correlations and factor analysis. Functions for simulating and testing particular item and test structures are included. Several functions serve as a useful front end for structural equation modeling. Graphical displays of path diagrams, factor analysis and structural equation models are created using basic graphics. Some of the functions are written to support a book on psychometric theory as well as publications in personality research. For more information, see the web page.

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install.packages('psych')

Monthly Downloads

150,960

Version

1.9.12.31

License

GPL (>= 2)

Maintainer

William Revelle

Last Published

January 8th, 2020

Functions in psych (1.9.12.31)

ICLUST.cluster

Function to form hierarchical cluster analysis of items
ICLUST.graph

create control code for ICLUST graphical output
ICC

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

Example data set from Gorsuch (1997) for an example factor extension.
Garcia

Data from the sexism (protest) study of Garcia, Schmitt, Branscome, and Ellemers (2010)
VSS

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

Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt
ICLUST.rgraph

Draw an ICLUST graph using the Rgraphviz package
ICLUST.sort

Sort items by absolute size of cluster loadings
Gleser

Example data from Gleser, Cronbach and Rajaratnam (1965) to show basic principles of generalizability theory.
iclust

iclust: Item Cluster Analysis -- Hierarchical cluster analysis using psychometric principles
KMO

Find the Kaiser, Meyer, Olkin Measure of Sampling Adequacy
Promax

Perform Procustes,bifactor, promax or targeted rotations and return the inter factor angles.
Pinv

Compute the Moore-Penrose Pseudo Inverse of a matrix
SD

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

A package for personality, psychometric, and psychological research
AUC

Decision Theory measures of specificity, sensitivity, and d prime
VSS.parallel

Compare real and random VSS solutions
Schmid

12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation
Tucker

9 Cognitive variables discussed by Tucker and Lewis (1973)
VSS.plot

Plot VSS fits
anova.psych

Model comparison for regression, mediation, and factor analysis
bi.bars

Draw pairs of bargraphs based on two groups
VSS.scree

Plot the successive eigen values for a scree test
bestScales

A bootstrap aggregation function for choosing most predictive unit weighted items
bfi

25 Personality items representing 5 factors
bassAckward

The Bass-Ackward factoring algorithm discussed by Goldberg
Yule

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

Find two estimates of reliability: Cronbach's alpha and Guttman's Lambda 6.
cluster.fit

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

Find correlations of composite variables (corrected for overlap) from a larger matrix.
cluster.loadings

Find item by cluster correlations, corrected for overlap and reliability
circ.tests

Apply four tests of circumplex versus simple structure
cluster.plot

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

Bock and Liberman (1970) data set of 1000 observations of the LSAT
cattell

12 cognitive variables from Cattell (1963)
cor2dist

Convert correlations to distances (necessary to do multidimensional scaling of correlation data)
corr.test

Find the correlations, sample sizes, and probability values between elements of a matrix or data.frame.
correct.cor

Find dis-attenuated correlations given correlations and reliabilities
corFiml

Find a Full Information Maximum Likelihood (FIML) correlation or covariance matrix from a data matrix with missing data
cor.smooth

Smooth a non-positive definite correlation matrix to make it positive definite
fa.poly

Deprecated Exploratory Factor analysis functions. Please use fa
cluster2keys

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

The sample size weighted correlation may be used in correlating aggregated data
corCi

Bootstrapped and normal confidence intervals for raw and composite correlations
cortest.bartlett

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

Create a 'violin plot' or density plot of the distribution of a set of variables
cta

Simulate the C(ues) T(endency) A(ction) model of motivation
pairwiseCount

Count number of pairwise cases for a data set with missing (NA) data and impute values.
cor.plot

Create an image plot for a correlation or factor matrix
cosinor

Functions for analysis of circadian or diurnal data
error.bars.by

Plot means and confidence intervals for multiple groups
cortest.mat

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

Plot x and y error bars
Bechtoldt

Seven data sets showing a bifactor solution.
error.dots

Show a dot.chart with error bars for different groups or variables
errorCircles

Two way plots of means, error bars, and sample sizes
draw.tetra

Draw a correlation ellipse and two normal curves to demonstrate tetrachoric correlation
describe

Basic descriptive statistics useful for psychometrics
block.random

Create a block randomized structure for n independent variables
comorbidity

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

Find Cohen d and confidence intervals
dummy.code

Create dummy coded variables
biplot.psych

Draw biplots of factor or component scores by factor or component loadings
describeBy

Basic summary statistics by group
eigen.loadings

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

Helper functions for drawing path model diagrams
Dwyer

8 cognitive variables used by Dwyer for an example.
ellipses

Plot data and 1 and 2 sigma correlation ellipses
fa.multi

Multi level (hierarchical) factor analysis
faCor

Correlations between two factor analysis solutions
error.bars

Plot means and confidence intervals
fa.parallel

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

A set of functions for factorial and empirical scale construction
fa.random

A first approximation to Random Effects Exploratory Factor Analysis
fa.sort

Sort factor analysis or principal components analysis loadings
esem

Perform and Exploratory Structural Equation Model (ESEM) by using factor extension techniques
fa

Exploratory Factor analysis using MinRes (minimum residual) as well as EFA by Principal Axis, Weighted Least Squares or Maximum Likelihood
factor.stats

Find various goodness of fit statistics for factor analysis and principal components
factor2cluster

Extract cluster definitions from factor loadings
fisherz

Transformations of r, d, and t including Fisher r to z and z to r and confidence intervals
factor.congruence

Coefficient of factor congruence
fparse

Parse and exten formula input from a model and return the DV, IV, and associated terms.
glb.algebraic

Find the greatest lower bound to reliability.
factor.fit

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

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

Graph factor loading matrices
interp.median

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

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

R* = R- F F'
irt.fa

Item Response Analysis by Exploratory Factor Analysis of tetrachoric/polychoric correlations
fa.extension

Apply Dwyer's factor extension to find factor loadings for extended variables
cohen.kappa

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

Logistic transform from x to p and logit transform from p to x
irt.responses

Plot probability of multiple choice responses as a function of a latent trait
kaiser

Apply the Kaiser normalization when rotating factors
iclust.diagram

Draw an ICLUST hierarchical cluster structure diagram
headTail

Combine calls to head and tail
manhattan

"Manhattan" plots of correlations with a set of criteria.
mediate

Estimate and display direct and indirect effects of mediators and moderator in path models
irt.1p

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

Sort the elements of a correlation matrix to reflect factor loadings
matrix.addition

A function to add two vectors or matrices
irt.item.diff.rasch

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

Graph hierarchical factor structures
psych.misc

Miscellaneous helper functions for the psych package
mssd

Find von Neuman's Mean Square of Successive Differences
multi.hist

Multiple histograms with density and normal fits on one page
pairs.panels

SPLOM, histograms and correlations for a data matrix
mixedCor

Find correlations for mixtures of continuous, polytomous, and dichotomous variables
multilevel.reliability

Find and plot various reliability/gneralizability coefficients for multilevel data
partial.r

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

Find miniscales (parcels) of size 2 or 3 from a set of items
omega

Calculate McDonald's omega estimates of general and total factor saturation
polychor.matrix

Phi or Yule coefficient matrix to polychoric coefficient matrix
factor.rotate

``Hand" rotate a factor loading matrix
r.test

Tests of significance for correlations
harmonic.mean

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

Alternative estimates of test reliabiity
factor.scores

Various ways to estimate factor scores for the factor analysis model
lowerUpper

Combine two square matrices to have a lower off diagonal for one, upper off diagonal for the other
make.keys

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

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

Test the difference between (un)paired correlations
rangeCorrection

Correct correlations for restriction of range. (Thorndike Case 2)
predict.psych

Prediction function for factor analysis, principal components (pca), bestScales
phi.demo

A simple demonstration of the Pearson, phi, and polychoric corelation
scatterHist

Draw a scatter plot with associated X and Y histograms, densities and correlation
sim

Functions to simulate psychological/psychometric data.
schmid

Apply the Schmid Leiman transformation to a correlation matrix
scaling.fits

Test the adequacy of simple choice, logistic, or Thurstonian scaling.
phi2tetra

Convert a phi coefficient to a tetrachoric correlation
sim.VSS

create VSS like data
reverse.code

Reverse the coding of selected items prior to scale analysis
outlier

Find and graph Mahalanobis squared distances to detect outliers
structure.diagram

Draw a structural equation model specified by two measurement models and a structural model
smc

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

3 Measures of ability: SATV, SATQ, ACT
structure.list

Create factor model matrices from an input list
Spengler

Project Talent data set from Marion Spengler and Rodica Damian
setCor

Multiple Regression and Set Correlation from matrix or raw input
scrub

A utility for basic data cleaning and recoding. Changes values outside of minimum and maximum limits to NA.
phi

Find the phi coefficient of correlation between two dichotomous variables
plot.psych

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

Function to convert scores to ``conventional " metrics
residuals.psych

Extract residuals from various psych objects
polar

Convert Cartesian factor loadings into polar coordinates
score.alpha

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

Simulate a 3 way balanced ANOVA or linear model, with or without repeated measures.
test.irt

A simple demonstration (and test) of various IRT scoring algorthims.
Tal_Or

Data set testing causal direction in presumed media influence
sim.multilevel

Simulate multilevel data with specified within group and between group correlations
sim.structure

Create correlation matrices or data matrices with a particular measurement and structural model
test.psych

Testing of functions in the psych package
sim.congeneric

Simulate a congeneric data set
score.multiple.choice

Score multiple choice items and provide basic test statistics
scoreWtd

Score items using regression or correlation based weights
testRetest

Find various test-retest statistics, including test, person and item reliability
principal

Principal components analysis (PCA)
print.psych

Print and summary functions for the psych class
scoreIrt

Find Item Response Theory (IRT) based scores for dichotomous or polytomous items
scoreItems

Score item composite scales and find Cronbach's alpha, Guttman lambda 6 and item whole correlations
simulation.circ

Simulations of circumplex and simple structure
mardia

Calculate univariate or multivariate (Mardia's test) skew and kurtosis for a vector, matrix, or data.frame
withinBetween

An example of the distinction between within group and between group correlations
winsor

Find the Winsorized scores, means, sds or variances for a vector, matrix, or data.frame
table2matrix

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

Form a super matrix from two sub matrices.
tr

Find the trace of a square matrix
unidim

Several indices of the unidimensionality of a set of variables.
sim.hierarchical

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

Find statistics (including correlations) within and between groups for basic multilevel analyses
spider

Make "radar" or "spider" plots.
sim.item

Generate simulated data structures for circumplex, spherical, or simple structure
tetrachoric

Tetrachoric, polychoric, biserial and polyserial correlations from various types of input
thurstone

Thurstone Case V scaling