Mplus Users Guide v6.. - Muthén & Muthén

CHAPTER 16The ANALYSIS command is not a required command. Default settingsare shown in the last column. If the default settings are appropriate forthe analysis, it is not necessary to specify the ANALYSIS command.Note that commands and options can be shortened to four or moreletters. Option settings can be referred to by either the complete word orthe part of the word shown above in bold type.TYPEThe TYPE option is used to describe the type of analysis. There are fourmajor analysis types in Mplus: GENERAL, MIXTURE, TWOLEVEL,and EFA. GENERAL is the default.The default is to estimate the model under missing data theory using allavailable data; to include means, thresholds, and intercepts in the model;to compute standard errors; and to compute chi-square when available.These defaults can be overridden. The LISTWISE option of the DATAcommand can be used to delete all observations from the analysis thathave one or more missing values on the set of analysis variables. ForTYPE=GENERAL, means, thresholds, and intercepts can be excludedfrom the analysis model by specifyingMODEL=NOMEANSTRUCTURE in the ANALYSIS command. TheNOSERROR option of the OUTPUT command can be used to suppressthe computation of standard errors. The NOCHISQUARE option of theOUTPUT command can be used to suppress the computation of chisquare.In some models, suppressing the computation of standard errorsand chi-square can greatly reduce computational time. Following is adescription of each of the four major analysis types.GENERALAnalyses using TYPE=GENERAL include models with relationshipsamong observed variables, among continuous latent variables, andamong observed variables and continuous latent variables. In thesemodels, the continuous latent variables represent factors and randomeffects. Observed outcome variables can be continuous, censored,binary, ordered categorical (ordinal), counts, or combinations of thesevariable types. In addition, for regression analysis and path analysis fornon-mediating outcomes, observed outcome variables can be unordered524