Greetings, I have a data set with 4 factor variables that use the same 5 point likert scale and a summary variable that employs the total of these. If there is a missing value (blank or 9) in two or more factors the summary variable is null. However,
the summary variable is also null if only on factor variable is null as well.
Therefore, I want to filter (and delete) any row when 2 or more of the factor variables exist. This would allow me to create a recoded variables for rows that only have 1 missing factor variable by using the mean of the 3 intact factor variables. Finally
the summary variable can be recoded to account for new data. Jason May, MS Evaluation Analyst, Learning & Performance Improvement Beech Brook P: 216-831-8520 x2389 F: 216-831-0436 |
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Look up the NVALID and NMISS functions.
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In reply to this post by jam320
If the alpha for the 4 factor scores is high, you could use
Summary=rnd(mean.3(f1,f2,f3,f4)).
To calculate the summary as a mean if there are at least 3 valid responses to the factor variables. OR Summary=rnd(mean.3(f1,f2,f3,f4)*4).
To calculate it as a sum of the four scores. If the alpha is not high (>.7) then this replacement should not be done. Melissa From: SPSSX(r) Discussion [mailto:[hidden email]]
On Behalf Of May, Jason Greetings, I have a data set with 4 factor variables that use the same 5 point likert scale and a summary variable that employs the total of these. If there is a missing value (blank or 9) in two or more factors the summary variable is null. However,
the summary variable is also null if only on factor variable is null as well.
Therefore, I want to filter (and delete) any row when 2 or more of the factor variables exist. This would allow me to create a recoded variables for rows that only have 1 missing factor variable by using the mean of the 3 intact factor variables. Finally
the summary variable can be recoded to account for new data. Jason May, MS Evaluation Analyst, Learning & Performance Improvement Beech Brook P: 216-831-8520 x2389 F: 216-831-0436 CONFIDENTIALITY NOTE: Please be aware that e-mail communication can be intercepted in transmission or misdirected. Please consider communicating any sensitive information
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