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How can I use multiply imputed data where original data is?
In order to have mi import properly import our data, we need to create a dataset of the form Stata expects, that is, a dataset where m=0 contains the original (unimputed) data, and m>0 contains the multiply imputed datasets. Below we start by loading the MI dataset.
What happens when a dataset is multiple imputed?
Than SPSS recognizes the dataset as an “imputed” dataset and is able to generate pooled analyses results. If SPSS does not recognize the dataset as a multiple imputed dataset, the data will be treated as one large dataset.
How to increase the number of iterations of the NMDS?
You should see each iteration of the NMDS until a solution is reached (i.e., stress was minimized after some number of reconfigurations of the points in 2 dimensions). You can increase the number of default iterations using the argument trymax=. which may help alleviate issues of non-convergence.
How is NMDS different from other ordination techniques?
Unlike other ordination techniques that rely on (primarily Euclidean) distances, such as Principal Coordinates Analysis, NMDS uses rank orders, and thus is an extremely flexible technique that can accommodate a variety of different kinds of data.
Which is an example of a pre-imputation dataset?
Below is a small example of an original (pre-imputation) dataset, id is the case id variable, and v1 – v3 are variables with some missing values. id v1 v2 v3 1 9 3 4 2 4 . 2 3 .
Can a categorical variable be imputed across all imputations?
However categorical variables imputed using the chained equation approach (implemented in the Stata package ice as well as in other packges), this may be true, but there may also be some exceptions (i.e. the same value was imputed across all imputations). That said]
How is the multiply imputation data stored in Stata?
A dataset that is mi set is given an mi style. This tells Stata how the multiply imputed data is to be stored once the imputation has been completed. For information on these style type help mi styles into the command window.
What to do when data is split by imputation?
Once your data is split by the “imputation” variable, SPSS should recognize that your dataset is multiply imputed and provide pooled estimates automatically (for the analyses that support multiple imputation in SPSS). I hope that helps! First thank you for your unconditional help.