psych: sim.VSS – R documentation

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sim.VSS

create VSS like data

Description

Simulation is one of most useful techniques in statistics and psychometrics. Here we simulate a correlation matrix with a simple structure composed of a specified number of factors. Each item is assumed to have complexity one. See circ.sim and item.sim for alternative simulations.

Usage

sim.VSS(ncases=1000, nvariables=16, nfactors=4, meanloading=.5,dichot=FALSE,cut=0)

Arguments

`ncases`	number of simulated subjects
`nvariables`	Number of variables
`nfactors`	Number of factors to generate
`meanloading`	with a mean loading
`dichot`	dichot=FALSE give continuous variables, dichot=TRUE gives dichotomous variables
`cut`	if dichotomous = TRUE, then items with values > cut are assigned 1, otherwise 0.

Value

a ncases x nvariables matrix

Author(s)

William Revelle

Examples

## Not run: 
simulated <- sim.VSS(1000,20,4,.6)
vss <- VSS(simulated,rotate="varimax")
VSS.plot(vss)

## End(Not run)

psych

Procedures for Psychological, Psychometric, and Personality Research

v2.1.3

GPL (>= 2)

Authors

William Revelle [aut, cre] (<https://orcid.org/0000-0003-4880-9610>)

Initial release

2021-03-21