Re: SPSSX-L Digest - 11 Mar 2011 to 12 Mar 2011 (#2011-70)

[Leslie Horst]

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There are 3 messages totalling 137 lines in this issue.

Topics of the day:

  1. Automatic reply: SPSSX-L Digest - 10 Mar 2011 to 11 Mar 2011 (#2011-69)
  2. Display all layers in a custom table
  3. how to handle absolute zero values?

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Date:    Sat, 12 Mar 2011 05:03:30 +0000
From:    Alan Elliott <[hidden email]>
Subject: Automatic reply: SPSSX-L Digest - 10 Mar 2011 to 11 Mar 2011 (#2011-69)

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Date:    Sat, 12 Mar 2011 15:57:03 -0800
From:    spruce18b <[hidden email]>
Subject: Display all layers in a custom table

I have created a custom table in three dimensions using the code below. Each
layer of RACE is shown in a pivot table as a separate display by clicking on
a drop down menu. Could someone please tell me how to show the entire table
with all the layers shown together in one display? Thanks, Bill

GET   FILE='C:\Program Files
(x86)\IBM\SPSS\Statistics\19\Samples\English\survey_sample.sav'.
SORT VARIABLES BY NAME (A).
* Custom Tables.
CTABLES
  /VLABELS VARIABLES=agecat DISPLAY=BOTH  /VLABELS VARIABLES=tvhours
DISPLAY=LABEL
  /TABLE agecat [C] BY tvhours [S][MEDIAN, MEAN] by race
  /CATEGORIES VARIABLES=agecat ORDER=A KEY=VALUE EMPTY=INCLUDE
MISSING=EXCLUDE
  /TITLES
    TITLE='Average Daily Number of Hours of Television Watched by Age
Category.'.


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Date:    Sat, 12 Mar 2011 17:25:43 -0800
From:    Bruce Weaver <[hidden email]>
Subject: Re: how to handle absolute zero values?

lcl23 wrote:

>
> There are 2 variables (ratio scale) in my data which have more than 15% of
> absolute zero values, i.e. 0= no loan & 0= no asset. While entering the
> data into SPSS, how should I deal with these absolute zero values? Should
> I define all zeros as "missing values", which I think it might change the
> meaning of these zeros? Or should I not doing anything and leave the data
> as it is?
>
> I am going to analyse the data using logistic regression method. Thanks.
>

I don't understand where the problem is.  Unlike discriminant function
analysis, logistic regression makes no assumptions about how explanatory
variables are distributed.



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End of SPSSX-L Digest - 11 Mar 2011 to 12 Mar 2011 (#2011-70)
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