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psych (version 1.0-90)

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

1.0-90

License

GPL (>= 2)

Homepage

http://personality-project.org/r

Maintainer

William Revelle

Last Published

July 24th, 2010

Functions in psych (1.0-90)

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

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

Distances between 11 US cities

Draw an ICLUST graph using the Rgraphviz package

Extract cluster definitions from factor loadings

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

25 Personality items representing 5 factors

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

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.

Sort items by absolute size of cluster loadings

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

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

create control code for ICLUST graphical output

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

75 mood items from the Motivational State Questionnaire for 3896 participants

Graph factor loading matrices

Plot means and confidence intervals for multiple groups

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

Function to form hierarchical cluster analysis of items

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

Create an image plot for a correlation or factor matrix

Simulate a congeneric data set

Thurstone Case V scaling

Plot x and y error bars

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

factor.congruence

Coefficient of factor congruence

Combine calls to head and tail

shortcut for reading from the clipboard

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

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

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

Print and summary functions for the psych class

Seven data sets showing a bifactor solution.

Compare real and random VSS solutions

factor.residuals

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

Draw an ICLUST hierarchical cluster structure diagram

Tests of significance for correlations

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

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

Perform promax or targeted rotations and return the inter factor angles

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

Basic descriptive statistics useful for psychometrics

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

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

Functions for analysis of circadian or diurnal data

Plot the successive eigen values for a scree test

Alternative estimates of test reliabiity

Find correlations of composite variables from a larger matrix

polychor.matrix

Phi or Yule coefficient matrix to polychoric coefficient matrix

Find the greatest lower bound to reliability.

9 Cognitive variables discussed by Tucker and Lewis (1973)

create VSS like data

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

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

A package for personality, psychometric, and psychological research

Fisher r to z and z to r and confidence intervals

Plot data and 1 and 2 sigma correlation ellipses

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

Basic summary statistics by group

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

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

Galton's Mid parent child height data

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

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

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

SPLOM, histograms and correlations for a data matrix

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

Reverse the coding of selected items prior to scale analysis

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

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

Multiple histograms with density and normal fits on one page

Sort the elements of a correlation matrix to reflect factor loadings

14 multiple choice IQ items

Functions to simulate psychological/psychometric data.

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

Apply four tests of circumplex versus simple structure

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

Tetrachoric correlations from various types of input

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

simulation.circ

Simulations of circumplex and simple structure

Graph hierarchical factor structures

matrix.addition

A function to add two vectors or matrices

US family income from US census 2008

3 Measures of ability: SATV, SATQ, ACT

Test the difference between (un)paired correlations

Plot means and confidence intervals

``Hand" rotate a factor loading matrix

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

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

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

Find the trace of a square matrix

Create factor model matrices from an input list

cluster.loadings

Find item by cluster correlations, corrected for overlap and reliability

Convert Cartesian factor loadings into polar coordinates

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

Testing of functions in the psych package

cortest.bartlett

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

Sort factor analysis or principal components analysis loadings

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

Multiple Regression from matrix input

Find the phi coefficient of correlation between two dichotomous variables

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

Function to convert scores to ``conventional " metrics

Form a super matrix from two sub matrices.

Find dis-attenuated correlations given correlations and reliabilities

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

sim.hierarchical

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

Paired comparison of preferences for 9 vegetables

Generate simulated data structures for circumplex or simple structure

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

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

NEO correlation matrix from the NEO_PI_R manual

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

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

Create a block randomized structure for n independent variables

score.multiple.choice

Score multiple choice items and provide basic test statistics

Principal components analysis

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

Helper functions for drawing path model diagrams

irt.item.diff.rasch

Simple function to estimate item difficulties using IRT concepts

Convert a phi coefficient to a polychoric correlation

Find polychoric correlations of item data

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

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

structure.diagram

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