dimensionStability {EGAnet}

R Documentation

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, ...)

Arguments

bootega.obj	A bootEGA object
...	Additional arguments. Used for deprecated arguments from previous versions of dimStability

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

Author(s)

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

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

## Not run: # Estimate EGA network
## plot.type = "qqraph" used for CRAN checks
## plot.type = "GGally" is the default
ega.wmt <- EGA(data = wmt, model = "glasso", plot.type = "qgraph")

# Estimate bootstrap EGA
boot.wmt <- bootEGA(data = wmt, iter = 500, typicalStructure = TRUE,
plot.typicalStructure = TRUE, model = "glasso", plot.type = "qgraph",
type = "parametric", ncores = 2)

## End(Not run)

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

# Changing plot features (ggplot2)
## Changing colors (ignore warnings)
### qgraph Defaults
res$item.stability$plot +
    ggplot2::scale_color_manual(values = rainbow(length(
    res$dimension.stability$structural.consistency)))

### Pastel
res$item.stability$plot +
    ggplot2::scale_color_brewer(palette = "Pastel1")

## Changing Legend (ignore warnings)
res$item.stability$plot +
    ggplot2::scale_color_discrete(labels = "Intelligence")

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