Hi,
Would you know if its possible to impute on SPSS based on specific demographics?
I have a large data set with a 26 question questionaire that is missing some responses. Is there a way to impute for the missing answers based on similar responses from those of the same gender/age/ethnicity?
If so, could you please explain how/point me in the direction of a manual
Thanks
------------------------------
Sruthi Venkatram
------------------------------
Original Message:
Sent: Sun January 07, 2024 09:17 PM
From: Jon Peck
Subject: Coding missing values
No. Missing values would not be automatically coded as -9. That would have to be declared as a missing value code unless your data source has already done that. You can declare missing values in the Data Editor Variable View or wih the MISSING VALUES command.
Declared user missing values are generally omitted in statistical procedures, but this can be on a casewise or per variable basis. Procedures vary in what method they use.
--
Original Message:
Sent: 1/6/2024 1:27:00 PM
From: Janika Mattke
Subject: Coding missing values
Hello,
when importing data into SPSS, missing values are automatically coded with -9. All the other values are between 1 and 4.
- When analyzing, does SPSS include the missing values (with the value of -9)?
- Do I have to delete or recode them or change settings in order to SPSS recognising them as missing values? Are they automatically excluded from analysis?
How do you handle this?
Thank you!
------------------------------
Janika Mattke
------------------------------