spss - Missing data & single imputation -

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I have a complete ozone data set that includes some missing values. I have to blame my data to make a single indecision I would like to use SPSS

Before I leave my data, I want to simulate the random data pattern with 5%, 10%, 15%, 25, to evaluate the accuracy of the methods used to disappear % And 40%.

How can someone randomly create missing data patterns using SPSS?

In addition to that someone can tell me how to get performance indicators such as: Full error, coefficient of determination and root mean square error, so that the best method for estimating the missing values Can be investigated. Unfortunately, my current SPSS does not have any incorrect data analysis, so I only give some general advice. Can i

ago: Data patterns for your missing: just go to data - & gt; Select cases - & gt; Removal of random sampling and the desired cases and then run the Impitation.

The values ​​you specify should be provided by the SPSS, if you use their intent module, there is a manual:

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