Circ_test {holland}

Running Mplus for testing empirical RIASEC angular locations

Description

This function generates and runs Mplus syntax which is discussed in Nagy et. al. (2009) and extracts the estimated model fit - tested against given (perfect - as default) angular locations of the six RIASEC dimensions, based on their correlations, in the asumed circumplex array within the theory of vocational choice by John Holland (1997).

Usage

Circ_test(
  N,
  Cor,
  test = "perfect",
  w = FALSE,
  showOutput = TRUE,
  Mplus_command = "Mplus",
  replaceOutfile = "always",
  name = NULL,
  ...
)

Arguments

N

number of observations for correlations as numeric

Cor

either an R matrix object with RIASEC correlations or the name of a correlation matrix, stored as a .dat text file, as character (see details).

test

either character (default test="perfect"), whicht tests against a perfect circumplex array, or a numeric vector with length = 6 giving the six angular locations (in radians) to test against.

w

logical - write fit coefficiants as csv table? - default: w = FALSE.

showOutput

default set to TRUE - see description of the function runModels() in package MplusAutomation.

Mplus_command

default set to "Mplus" as in the default in MplusAutomation - see examples and see description of the function runModels() in package MplusAutomation.

replaceOutfile

default set to "always" - see description of the function runModels() in package MplusAutomation.

name

optional a name (as character) for the Mplus syntax to be saved - default is the object name or the name given in paramter Cor as character (with ending changed to '.inp').

...

additional parameters passed through

Details

more to come ...

Value

a list with coefficients for model fit extracted from the Mplus result file after running the Mplus syntax.

References

Holland, J.L. (1997). Making vocational choices. A theory of vocational personalities and work environments. Lutz, FL: Psychological Assessment Resources.

Nagy, G., Marsh, H. W., Luedtke, O., & Trautwein, U. (2009). Representing circles in our minds: Confirmatory factor analysis of circumplex structures and profiles. In T. Teo & M. S. Khine (Hrsg.), Structural Equation Modeling in Educational Research: Concepts and applications (S. 287 - 315). Rotterdam Boston Taipei: Sense Publishers.

Examples

# generating running and extraction of Mplus files 
# refering to a correlation data stored object example2
data(example2) # loading fictional example correlation matrix
# not Run until Mplus is installed on your System #####
## Not run: test <- Circ_test(N = 300, Cor = example2, test="perfect") 
test
## End(Not run)