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psych (version 1.0-87)

Procedures for Psychological, Psychometric, and Personality 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. Functions for simulating 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 psychometrics as well as publications in personality research. For more information, see the personality-project.org/r webpage.

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Install

install.packages('psych')

Monthly Downloads

242,751

Version

1.0-87

License

GPL (>= 2)

Homepage

http://personality-project.org/r

Maintainer

William Revelle

Last Published

April 6th, 2010

Functions in psych (1.0-87)

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

Sort items by absolute size of cluster loadings

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

Draw an ICLUST graph using the Rgraphviz package

Seven data sets showing a bifactor solution.

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

Logistic transform from x to p and logit transform from p to x

NEO correlation matrix from the NEO_PI_R manual

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

create control code for ICLUST graphical output

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

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

Create an image plot for a correlation or factor matrix

Find dis-attenuated correlations given correlations and reliabilities

Two data sets of affect and arousal scores as a function of personality and movie conditions

Principal components analysis

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

cortest.bartlett

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

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

Reverse the coding of selected items prior to scale analysis

Tests of significance for correlations

Testing of functions in the psych package

Function to form hierarchical cluster analysis of items

Galton's Mid parent child height data

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

factor.residuals

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

75 mood items from the Motivational State Questionnaire for 3896 participants

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

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

Find the phi coefficient of correlation between two dichotomous variables

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

Find the trace of a square matrix

Fisher r to z and z to r and confidence intervals

Find the greatest lower bound to reliability.

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

Factor analysis by Principal Axis, MinRes (minimum residual), Weighted Least Squares or Maximum Likelihood

Apply four tests of circumplex versus simple structure

Find correlations of composite variables from a larger matrix

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

Plot the successive eigen values for a scree test

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

A package for personality, psychometric, and psychological research

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

Plot means and confidence intervals

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

Multiple Regression from matrix input

Convert Cartesian factor loadings into polar coordinates

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

Basic descriptive statistics useful for psychometrics

Combine calls to head and tail

matrix.addition

A function to add two vectors or matrices

Compare real and random VSS solutions

Plot means and confidence intervals for multiple groups

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

US family income from US census 2008

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

Print and summary functions for the psych class

Simulate a congeneric data set

Graph hierarchical factor structures

Tetrachoric correlations from various types of input

Basic summary statistics by group

Multiple histograms with density and normal fits on one page

Perform promax or targeted rotations and return the inter factor angles

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

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

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

9 Cognitive variables discussed by Tucker and Lewis (1973)

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

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

SPLOM, histograms and correlations for a data matrix

Plot data and 1 and 2 sigma correlation ellipses

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

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.

14 multiple choice IQ items

Extract cluster definitions from factor loadings

Form a super matrix from two sub matrices.

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

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

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

sim.hierarchical

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

Function to convert scores to ``conventional " metrics

Test the difference between (un)paired correlations

Functions for analysis of circadian or diurnal data

Convert a phi coefficient to a polychoric correlation

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

Find polychoric correlations of item data

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

Graph factor loading matrices

create VSS like data

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

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

Create factor model matrices from an input list

Sort factor analysis or principal components analysis loadings

polychor.matrix

Phi or Yule coefficient matrix to polychoric coefficient matrix

factor.congruence

Coefficient of factor congruence

3 Measures of ability: SATV, SATQ, ACT

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

``Hand" rotate a factor loading matrix

Functions to simulate psychological/psychometric data.

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

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

shortcut for reading from the clipboard

Draw an ICLUST hierarchical cluster structure diagram

Sort the elements of a correlation matrix to reflect factor loadings

Alternative estimates of test reliabiity

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

irt.item.diff.rasch

Simple function to estimate item difficulties using IRT concepts

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

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

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

Distances between 11 US cities

simulation.circ

Simulations of circumplex and simple structure

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

Thurstone Case V scaling

Paired comparison of preferences for 9 vegetables

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

25 Personality items representing 5 factors

cluster.loadings

Find item by cluster correlations, corrected for overlap and reliability

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

Helper functions for drawing path model diagrams

Plot x and y error bars

score.multiple.choice

Score multiple choice items and provide basic test statistics

Generate simulated data structures for circumplex or simple structure

structure.diagram

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