Often you may want to replace missing values with zero in SPSS.

The easiest way to do this is by using **Transform** > **Recode into Same Variables**.

The following example shows how to do so in practice.

**Example: How to Replace Missing Values with Zero in SPSS**

Suppose we have the following dataset in SPSS that contains information about exam scores received by various students in some class:

Notice that there are several missing values in the **Exam_Score** column.

Suppose that we would like to replace each of these missing values with zeros.

To do so, click the **Transform** tab, then click **Recode into Same Variables**:

In the new window that appears, drag the **Exam_Score **variable into the **Numeric Variables** box:

Then click the **Old and New Values** button.

In the new window that appears, click the button next to **System-missing** under **OId Value** and then type **1** into the **New Value** box, then click the **Add** button:

This new recoding rule will be shown in the **Old –> New** box.

Lastly, click **Continue**. Then click **OK.**

Each missing value in the **Exam_Score** column will now be replaced with a zero instead:

Note that in this example we only replaced missing values with zero in one column, but you can use this same process to replace missing values in as many columns as you’d like.

**Additional Resources**

The following tutorials explain how to perform other common operations in SPSS:

How to Identify Outliers in SPSS

How to Calculate Z-Scores in SPSS

How to Calculate Percentiles in SPSS