Learn R Programming

EGAnet (version 1.2.3)

dimensionStability: Dimension Stability Statistics from bootEGA

Description

Based on the bootEGA results, this function computes the stability of dimensions. This is computed by assessing the proportion of times the original dimension is exactly replicated in across bootstrap samples

Usage

dimensionStability(bootega.obj, ...)

Value

Returns a list containing:

dimension.stability

A list containing:

  • structural.consistency The proportion of times that each empirical EGA dimension exactly replicates across the bootEGA samples

  • average.item.stability The average item stability in each empirical EGA dimension

item.stability

Results from itemStability

Arguments

bootega.obj

A bootEGA object

...

Additional arguments. Used for deprecated arguments from previous versions of dimStability

Author

Hudson Golino <hfg9s at virginia.edu> and Alexander P. Christensen <alexpaulchristensen@gmail.com>

References

Christensen, A. P., & Golino, H. (2021). Estimating the stability of the number of factors via Bootstrap Exploratory Graph Analysis: A tutorial. Psych, 3(3), 479-500.

Christensen, A. P., Golino, H., & Silvia, P. J. (2020). A psychometric network perspective on the validity and validation of personality trait questionnaires. European Journal of Personality, 34(6), 1095-1108.

See Also

EGA to estimate the number of dimensions of an instrument using EGA and CFA to verify the fit of the structure suggested by EGA using confirmatory factor analysis.

Examples

Run this code
# Load data
wmt <- wmt2[,7:24]

if (FALSE) {
# Estimate bootstrap EGA
boot.wmt <- bootEGA(
  data = wmt, iter = 500,
  type = "parametric", ncores = 2
)}

# Estimate stability statistics
res <- dimensionStability(boot.wmt)
res$dimension.stability

if (FALSE) {
# Produce Methods section
methods.section(
  boot.wmt,
  stats = "dimensionStability"
)}


Run the code above in your browser using DataLab