minvariance.Rd
This 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) |
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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 |