rookie confusion
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two (hopefully easy to answer) questions from an SPSS rookie:
1. I made the mistake of adding an abundance of calculated variables only to realize later that I had several data errors that needed to be corrected. Is there a way to simply "refresh" the calculated variables so they will use the corrected data points or must i delete all of the calculated variables and enter them again?
2. I completed a multivariate analysis of variance (menu: Analyze, General linear model, Mutivariate) with around 15 dependent variables and one fixed factor. I have around 300 cases in my data set, but the analysis only used a little over 200 of them. Is this a missing data issue or something else? I looked for the common option of "exclude cases pairwise" but did not find it offered by the multivariate function. Strangely, however, if i run 15 separate one-way anovas on the same 15 variables, SPSS picks up nearly 300 cases for each. ????
thanking you in advance for your benevolence! -- Phil Schubert Abilene Christian University Executive Vice President ACU Box 29120 Abilene, Texas 79699-9120 325/674-2795 |
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The journal file should have a record of
the commands used to create the calculated variables. In release 16 or later,
Edit>Options>File Locations will tell you where the journal file is. In
early releases: Edit>Options>General. If you can’t find the it that
way, use your operating system facilities to search for *.jnl. From: SPSSX(r) Discussion
[mailto:[hidden email]] On Behalf
Of Phil Schubert two (hopefully easy to answer) questions from an SPSS rookie: 1. I made the mistake of adding an abundance of calculated variables
only to realize later that I had several data errors that needed to be
corrected. Is there a way to simply "refresh" the calculated
variables so they will use the corrected data points or must i delete all of
the calculated variables and enter them again? 2. I completed a multivariate analysis of variance (menu:
Analyze, General linear model, Mutivariate) with around 15 dependent
variables and one fixed factor. I have around 300 cases in my data set,
but the analysis only used a little over 200 of them. Is this a missing data
issue or something else? I looked for the common option of "exclude
cases pairwise" but did not find it offered by the multivariate function.
Strangely, however, if i run 15 separate one-way anovas on the same 15
variables, SPSS picks up nearly 300 cases for each. ???? thanking you in advance for your benevolence!
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In reply to this post by Phil Schubert
Re-running the syntax creating the
calculated variables should refresh them, if I understand that question
correctly. In regard to you second question, I
believe it probably is subtracting cases due to missing data for some of the
variables, but more than that,15 dependent variables in a manova is, to my mind,
rather excessive. Why don’t you first factor analyze them to reduce the
number, you’ll have to “tease apart” the results of that
large manova anyway. Arthur Kramer "...believe half of what you see and
none of what you hear."
N.Whitfield and B.Strong From: SPSSX(r)
Discussion [mailto:[hidden email]] On
Behalf Of Phil Schubert two (hopefully easy to answer) questions from an SPSS rookie: 1. I made the mistake of adding an abundance of calculated
variables only to realize later that I had several data errors that needed to
be corrected. Is there a way to simply "refresh" the calculated
variables so they will use the corrected data points or must i delete all of
the calculated variables and enter them again? 2. I completed a multivariate analysis of variance (menu:
Analyze, General linear model, Mutivariate) with around 15 dependent
variables and one fixed factor. I have around 300 cases in my data set,
but the analysis only used a little over 200 of them. Is this a missing data
issue or something else? I looked for the common option of "exclude
cases pairwise" but did not find it offered by the multivariate function.
Strangely, however, if i run 15 separate one-way anovas on the same 15
variables, SPSS picks up nearly 300 cases for each. ???? thanking you in advance for your benevolence!
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