minvariance.RdThis function automatically runs 4 automatically generated measurement invariance models. This may not be appropriate and it might be more useful to generate lavaan syntax using long_minvariance_syntax function for each model separately and run confirmatory factor analyses using the cfa function from lavaan.
minvariance( data, var_list, add = NULL, remove = NULL, details = FALSE, return = c("fit_statistics", "model_tests", "lavaan_objects", "lavaan_syntax", "all") )
| data | Data in wide format (one row for each participant, one column for each item at each time point) |
|---|---|
| var_list | List specifying the variable names for each time point. The number of variable names need to be identical at each time point (same measure). |
| add | String, lavaan syntax to be added to the model |
| remove | List, remove specific parts of the automatically generated model |
| details | Return details of selected output selected in return argument |
| return | What should be returned ("fit_statistics", "model_tests", "lavaan_objects", "lavaan_syntax", "all") |
| measure_name | String, name of the measure |
| time_str | String, prefix of the point specifier |
| item_str | String, prefix of the item specifier |