Confirmatory Factor Analysis After Correlation Synthesis

Convenience wrapper around path_model for latent (=~) model syntax using synthesized correlation matrices.

cfa_from_synthesis(
  mars_object,
  model,
  num_obs = NULL,
  method_null = "sem",
  synthesis_method = c("model", "average", "weighted"),
  synthesis_transform = c("none", "fisher_z"),
  missing_corr = c("available", "pairwise", "em"),
  attenuation = c("none", "correct"),
  reliability = NULL,
  reliability_missing = c("error", "skip", "impute_mean", "assume_1"),
  pd_adjust = c("none", "eigen_clip", "nearpd"),
  pd_tol = 1e-08,
  ...
)

Arguments

mars_object

A fitted object returned by mars.

model

Lavaan-style latent model syntax.

num_obs

Optional sample size.

method_null

Null model method passed to path_model.

synthesis_method

Correlation synthesis method: "model", "average", or "weighted".

synthesis_transform

Optional pooling transform for "average"/"weighted": "none" or "fisher_z".

missing_corr

Missing-correlation handling for synthesized matrices: "available", "pairwise", or "em".

attenuation

Attenuation-correction mode for synthesized correlations: "none" or "correct".

reliability

Reliability input used when attenuation = "correct".

reliability_missing

Strategy for missing reliability values: "error", "skip", "impute_mean", or "assume_1".

pd_adjust

Positive-definite repair for synthesized correlations: "none", "eigen_clip", or "nearpd".

pd_tol

Minimum eigenvalue tolerance used by pd_adjust = "eigen_clip".

...

Additional arguments passed to path_model.

Value

A path object with additional class cfa_mars.