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psych (version 1.0-92)

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

1.0-92

License

GPL (>= 2)

Homepage

http://personality-project.org/r

Maintainer

William Revelle

Last Published

September 22nd, 2010

Functions in psych (1.0-92)

create control code for ICLUST graphical output

Convert Cartesian factor loadings into polar coordinates

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

25 Personality items representing 5 factors

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

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

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

Create an image plot for a correlation or factor matrix

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

Print and summary functions for the psych class

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

SPLOM, histograms and correlations for a data matrix

A package for personality, psychometric, and psychological research

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

Create a block randomized structure for n independent variables

Plot the successive eigen values for a scree test

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

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

Seven data sets showing a bifactor solution.

Apply four tests of circumplex versus simple structure

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

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

Find dis-attenuated correlations given correlations and reliabilities

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

polychor.matrix

Phi or Yule coefficient matrix to polychoric coefficient matrix

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

Draw an ICLUST graph using the Rgraphviz package

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

Plot data and 1 and 2 sigma correlation ellipses

Basic descriptive statistics useful for psychometrics

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

Bond's Logical Operations Test -- BLOT

irt.item.diff.rasch

Simple function to estimate item difficulties using IRT concepts

Compare real and random VSS solutions

Alternative estimates of test reliabiity

Create factor model matrices from an input list

cluster.loadings

Find item by cluster correlations, corrected for overlap and reliability

Functions to simulate psychological/psychometric data.

Function to form hierarchical cluster analysis of items

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

Galton's Mid parent child height data

Multiple histograms with density and normal fits on one page

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

Combine calls to head and tail

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

shortcut for reading from the clipboard

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

matrix.addition

A function to add two vectors or matrices

Find correlations of composite variables from a larger matrix

Graph factor loading matrices

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

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

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

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

Thurstone Case V scaling

Sort factor analysis or principal components analysis loadings

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

Form a super matrix from two sub matrices.

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

Perform promax or targeted rotations and return the inter factor angles

simulation.circ

Simulations of circumplex and simple structure

Find the greatest lower bound to reliability.

Fisher r to z and z to r and confidence intervals

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

Plot means and confidence intervals for multiple groups

Item Response Analysis by factor analysis of tetrachoric/polychoric correlations

Sort items by absolute size of cluster loadings

Tests of significance for correlations

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

Convert a phi coefficient to a polychoric correlation

factor.residuals

Basic summary statistics by group

Principal components analysis

US family income from US census 2008

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

Sort the elements of a correlation matrix to reflect factor loadings

Multiple Regression from matrix input

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

score.multiple.choice

Score multiple choice items and provide basic test statistics

Generate simulated data structures for circumplex or simple structure

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

11 emotional variables from Burt (1915)

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

Find the phi coefficient of correlation between two dichotomous variables

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

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

Plot x and y error bars

cortest.bartlett

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

Plot means and confidence intervals

9 Cognitive variables discussed by Tucker and Lewis (1973)

Simulate a congeneric data set

Distances between 11 US cities

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

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

``Hand" rotate a factor loading matrix

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.

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

Helper functions for drawing path model diagrams

Functions for analysis of circadian or diurnal data

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

structure.diagram

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

NEO correlation matrix from the NEO_PI_R manual

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

Extract cluster definitions from factor loadings

sim.hierarchical

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

75 mood items from the Motivational State Questionnaire for 3896 participants

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

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

Draw an ICLUST hierarchical cluster structure diagram

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

Reverse the coding of selected items prior to scale analysis

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

Function to convert scores to ``conventional " metrics

Graph hierarchical factor structures

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

Find the trace of a square matrix

create VSS like data

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

factor.congruence

Coefficient of factor congruence

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

14 multiple choice IQ items

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

3 Measures of ability: SATV, SATQ, ACT

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

Test the difference between (un)paired correlations

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

Testing of functions in the psych package

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

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

Paired comparison of preferences for 9 vegetables