A theoretical underpinning for the hypothesized model

A description of how the model was specified (indicator variables for each latent variable and scaling, freely estimated and constrained parameters)

Sample description (sample size and sampling method)

The type of data used (e.g., nominal, continuous) and descriptive statistics of the dataset

Tests of multivariate normality assumptions and parameter estimator of the model

Missing data analysis

Software package utilized to fit the model

Measures of model fit, and the cutoff criteria used to indicate goodness of fit

Any modifications to the original model based on specification searches

Beaujean, 2014: p. 34 , Raykov et al., 1991: pp. 501-502 .