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I IBM SPSS Missing Values 19 Note: Before using this information and the product it supports, read the general information under Notices on p. 88. This document contains proprietary information of
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How to fill out IBM SPSS missing values:

01
Open IBM SPSS and load the dataset containing missing values.
02
Go to the "Transform" menu and select "Recode Into Same Variable."
03
Choose the variable that contains missing values and click "Old and New Values."
04
In the "Old Value" field, specify the missing value code that is used in the dataset (e.g., -999 or NA).
05
In the "New Value" field, specify the value you want to replace the missing value with (e.g., 0 or the mean of the variable).
06
Click "Add" and repeat steps 4 and 5 for each missing value code in the dataset.
07
Click "Continue," and then click "OK" to apply the recoding.
08
The missing values in the selected variable will now be replaced with the specified values.

Who needs IBM SPSS missing values?

01
Researchers who work with statistical analysis and have datasets that contain missing values may require IBM SPSS missing values.
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Data analysts who need to clean and preprocess data before conducting statistical tests or building models could benefit from using IBM SPSS missing values.
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Organizations and institutions that collect large amounts of data and need to handle missing values in a systematic and efficient manner may find IBM SPSS missing values useful.
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