Skip to contents

Returns a one-row data frame of top-level model metadata. For EFA (exploratory factor analysis) and ESEM (exploratory structural equation modeling) objects, fit indices at the deepest converged level are included. The same five columns (CFI, TLI, RMSEA, SRMR, BIC) are present across all engines. Columns unavailable for a given engine or estimator are NA. For example, CFI and SRMR are NA for EFA, and all five are NA for PCA (principal component analysis). For ESEM, BIC is NA under estimator = "WLSMV" or "ULSMV", because these limited-information estimators have no proper log-likelihood, and it is populated under "ML" or "MLR". Under a scaled-test estimator ("WLSMV", "ULSMV", or "MLR") the CFI, TLI, and RMSEA reported here are the scaled variants (see tidy.ackwards() for the rationale).

Usage

# S3 method for class 'ackwards'
glance(x, ...)

Arguments

x

An ackwards object.

...

Ignored.

Value

A one-row data.frame.

Examples

x <- ackwards(sim16, k_max = 5)
glance(x)
#>   engine rotation     cor k_max n_obs deepest_converged n_edges CFI TLI RMSEA
#> 1    pca  varimax pearson     5  1000                 5      40  NA  NA    NA
#>   SRMR BIC
#> 1   NA  NA