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psych (version 1.0-88)

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

1.0-88

License

GPL (>= 2)

Homepage

http://personality-project.org/r

Maintainer

William Revelle

Last Published

April 27th, 2010

Functions in psych (1.0-88)

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

Create a block randomized structure for n independent variables

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

Galton's Mid parent child height data

matrix.addition

A function to add two vectors or matrices

Find dis-attenuated correlations given correlations and reliabilities

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

Draw an ICLUST graph using the Rgraphviz package

Seven data sets showing a bifactor solution.

Plot means and confidence intervals

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

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

Graph factor loading matrices

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.

Find correlations of composite variables from a larger matrix

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

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

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

Function to form hierarchical cluster analysis of items

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

irt.item.diff.rasch

Simple function to estimate item difficulties using IRT concepts

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

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

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

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

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

Sort items by absolute size of cluster loadings

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

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

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

Plot data and 1 and 2 sigma correlation ellipses

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

Distances between 11 US cities

sim.hierarchical

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

Functions for analysis of circadian or diurnal data

Tests of significance for correlations

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

Alternative estimates of test reliabiity

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

25 Personality items representing 5 factors

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

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

Apply four tests of circumplex versus simple structure

factor.residuals

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

Basic summary statistics by group

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

Create an image plot for a correlation or factor matrix

shortcut for reading from the clipboard

score.multiple.choice

Score multiple choice items and provide basic test statistics

polychor.matrix

Phi or Yule coefficient matrix to polychoric coefficient matrix

A package for personality, psychometric, and psychological research

US family income from US census 2008

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

Convert a phi coefficient to a polychoric correlation

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

3 Measures of ability: SATV, SATQ, ACT

Plot means and confidence intervals for multiple groups

Principal components analysis

``Hand" rotate a factor loading matrix

Fisher r to z and z to r and confidence intervals

create VSS like data

Sort factor analysis or principal components analysis loadings

Find the phi coefficient of correlation between two dichotomous variables

9 Cognitive variables discussed by Tucker and Lewis (1973)

Find the trace of a square matrix

Reverse the coding of selected items prior to scale analysis

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

Compare real and random VSS solutions

Simulate a congeneric data set

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

Sort the elements of a correlation matrix to reflect factor loadings

NEO correlation matrix from the NEO_PI_R manual

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

structure.diagram

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

Plot x and y error bars

Helper functions for drawing path model diagrams

Generate simulated data structures for circumplex or simple structure

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

Find polychoric correlations of item data

Print and summary functions for the psych class

cortest.bartlett

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

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

Combine calls to head and tail

Functions to simulate psychological/psychometric data.

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

Graph hierarchical factor structures

simulation.circ

Simulations of circumplex and simple structure

Form a super matrix from two sub matrices.

Draw an ICLUST hierarchical cluster structure diagram

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

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

Find the greatest lower bound to reliability.

Function to convert scores to ``conventional " metrics

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

Paired comparison of preferences for 9 vegetables

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

Convert Cartesian factor loadings into polar coordinates

Test the difference between (un)paired correlations

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

Tetrachoric correlations from various types of input

Perform promax or targeted rotations and return the inter factor angles

14 multiple choice IQ items

Create factor model matrices from an input list

Testing of functions in the psych package

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

75 mood items from the Motivational State Questionnaire for 3896 participants

Extract cluster definitions from factor loadings

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

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

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

SPLOM, histograms and correlations for a data matrix

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

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

Plot the successive eigen values for a scree test

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

factor.congruence

Coefficient of factor congruence

Multiple histograms with density and normal fits on one page

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

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

Thurstone Case V scaling

Multiple Regression from matrix input

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

create control code for ICLUST graphical output

cluster.loadings

Find item by cluster correlations, corrected for overlap and reliability

Basic descriptive statistics useful for psychometrics