Thank so much for your prompt response.
I already tried the subcommand « missing meansub » which gave me different result compared to the subcommand « missing include ».
What does it really mean « Cases with user-missing values are treated as valid ». Does it mean that the missing values are imputed by the means?
The key point : with MAR data, how to conduct factor analysis in SPSS with all the data? (All missing values are user-missing values.)
Regards
From: Jon Peck <[hidden email]>
Date: Wednesday, December 5, 2018 at 15:05
To: Placide Poba-Nzaou <[hidden email]>
Cc: SPSS List <[hidden email]>
Subject: Re: [SPSSX-L] Question on INCLUDE instruction when managing missing data in a FACTOR ANALYSIS
You are putting more on INCLUDE than it can bear. All that INCLUDE=YES means is that values marked as user missing are treated as valid and included in the analysis as regular values. (System missing values
are always excluded).
This generally does not make sense for continuous variables. You can impute values with the MVA procedure, but multiple imputation is not supported in the FACTOR procedure.
On Wed, Dec 5, 2018 at 11:27 AM Poba-Nzaou, Placide <[hidden email]> wrote:
Dear All,
I am conducting factor analysis with missing data and would like to treat missing data as MAR (missing at random). I have a question how SPSS procedure FACTOR handles missing data in the subcommand « missing INCLUDE » . It is based on assumption MAR? Any help is greatly appreciated.
Thanks in advance for your help.
Regards,
Placide
Placide Poba-Nzaou
Associate Professor,
University of Quebec in Montreal, Montreal, Canada
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Jon K Peck
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