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 
