Скачать или смотреть How to replace Missing Values in SPSS: Series Mean Imputation, Data Preprocessing, MVA - 2 mins

In this video, we dive into handling missing data in SPSS, specifically focusing on the Acadic Pressure column. Manually finding missing values in a large dataset can be tedious, so we utilize SPSS's Missing Value Analysis tool to identify gaps efficiently.

We pinpoint missing values in rows 15, 29, and 52 and then use Series Mean Imputation to replace them with the column's mean. This method ensures our dataset remains complete without manually inputting values. SPSS automatically generates a new column with the replaced values, maintaining data integrity while making the process seamless.

By the end of this tutorial, you’ll understand:
✅ How to find missing values in SPSS
✅ How to use the Missing Value Analysis tool
✅ How to replace missing values using the Series Mean method
✅ How SPSS automatically creates a new column with imputed values

If you found this helpful, don’t forget to like, subscribe, and hit the notification bell for more SPSS tutorials! 🚀

TIMESTAMPS
0:00 - Introduction & overview
0:12 - Identifying missing values in SPSS
0:35 - Using the Missing Value Analysis tool
1:05 - Finding missing values in the Academic Pressure column
1:25 - Replacing missing values using Series Mean Imputation
1:50 - SPSS automatically creates a new column
2:10 - Verifying replaced values in the dataset
2:35 - Summary & closing remarks