How do I specify missing data in Mplus?

You can even have multiple missing values for a variable, e.g., Missing are x1 x2 (-1, -2) y1 y2 (-5, -9) ; Can Mplus handle periods (dots) as missing values? Yes, you can specify Missing are .; and it will understand a . to be a missing value. What about the is and are and = (equal sign).

Can Mplus do multiple imputation?

In Mplus Version 6 multiple imputation (MI) of missing data can be gener- ated from an MCMC simulation. This method was pioneered in Rubin (1987) and Schafer (1997). The imputed data sets can be analyzed in Mplus using any classical estimation methods such a maximum-likelihood and weighted least squares (WLS).

What is FIML missing data?

FIML requires that missing values to be at least MAR (i.e., either MAR or MCAR are ok). The process works by estimating a likelihood function for each individual based on the variables that are present so that all the available data are used.

Does Mplus use FIML?

Thanks. With WLSMV, Mplus uses neither multiple imputation or FIML. Without covariates, it uses pairwise present. With covariates, missingness is allowed to be a function of the observed covariates but not the observed outcomes.

What is Listwise deletion method?

In statistics, listwise deletion is a method for handling missing data. In this method, an entire record is excluded from analysis if any single value is missing.

How long can variable names be in Mplus?

You can (and have to) name the variables you are reading using the VARIABLE command. Variable names can have a maximum of 8 characters and may contain letters, numbers and the underscore sign. Note that it is advisable to use variables names with 6 (six) characters only.

What percentage of missing data is acceptable?

How much data is missing? The overall percentage of data that is missing is important. Generally, if less than 5% of values are missing then it is acceptable to ignore them (REF). However, the overall percentage missing alone is not enough; you also need to pay attention to which data is missing.

Is FIML the default in Mplus?

FIML is the default. However, missing data theory requires more than one dependent variable. You can bring the observed exogenous variables into the model, however, the regression slope is estimated using only observations without missing a y.

What is FIML in Mplus?

Mplus can be used to estimate a model in which some of the variables have missing values using full information maximum likelihood (FIML).

What is Listwise and pairwise?

In listwise deletion a case is dropped from an analysis because it has a missing value in at least one of the specified variables. The analysis is only run on cases which have a complete set of data. Pairwise deletion occurs when the statistical procedure uses cases that contain some missing data.

How do you handle missing data?

Imputing the Missing Value

  1. Replacing With Arbitrary Value.
  2. Replacing With Mode.
  3. Replacing With Median.
  4. Replacing with previous value – Forward fill.
  5. Replacing with next value – Backward fill.
  6. Interpolation.
  7. Impute the Most Frequent Value.

Can you use CSV files in Mplus?

Mplus can easily read comma separated data, so we can save our dataset as a . csv file. This can be done by choosing File, Save as, and then choosing “Comma delimited” from the “Save as type” drop down list.