Compute Mean Output Interpretation

[Leslie-26]

Can someone help me understand what to do with the output from the
following syntax (both embedded below)?  I have a 10 item scale and will
keep a record if the respondent answered 8 or more of the items.  The
output with multiple listings of the same value is not clear to me ( two
1's, eight 2's, etc), nor how to work with this in later analysis.  Do I
need to recode? If so, how?
Thanks for your assistance,
Leslie


COMPUTE S3QB = mean.8 (S3Q976_1, S3Q976_2,  S3Q976_3,  S3Q976_4,
S3Q976_5,  S3Q976_6,  S3Q976_7,
  S3Q976_8,  S3Q976_9,  S3Q976_10) .
EXECUTE .
FREQUENCIES
  VARIABLES=S3QB
  /STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM SEMEAN MEAN MEDIAN MODE
  SUM
  /ORDER=  ANALYSIS .



    Frequency Percent Valid Percent Cumulative Percent
Valid 1 14 .7 .7 .7
 1 2 .1 .1 .8
 2 1 .0 .1 .9
 2 2 .1 .1 1.0
 2 4 .2 .2 1.2
 2 5 .2 .3 1.4
 2 2 .1 .1 1.5
 2 1 .0 .1 1.6
 2 9 .4 .5 2.0
 2 12 .6 .6 2.7
 2 14 .7 .7 3.4
 3 29 1.4 1.5 4.8
 3 1 .0 .1 4.9
 3 36 1.7 1.8 6.7
 3 5 .2 .3 7.0
 3 39 1.9 2.0 9.0
 3 2 .1 .1 9.1
 3 56 2.7 2.9 11.9
 3 1 .0 .1 12.0
 3 3 .1 .2 12.1
 3 74 3.6 3.8 15.9
 3 261 12.5 13.3 29.2
 3 143 6.9 7.3 36.5
 3 5 .2 .3 36.8
 3 132 6.3 6.7 43.5
 3 5 .2 .3 43.8
 3 130 6.3 6.6 50.4
 3 3 .1 .2 50.6
 3 135 6.5 6.9 57.5
 3 3 .1 .2 57.6
 4 139 6.7 7.1 64.7
 4 3 .1 .2 64.9
 4 132 6.3 6.7 71.6
 4 2 .1 .1 71.7
 4 160 7.7 8.2 79.9
 4 1 .0 .1 79.9
 4 139 6.7 7.1 87.0
 4 2 .1 .1 87.1
 4 130 6.3 6.6 93.8
 4 122 5.9 6.2 100.0
 Total 1959 94.2 100.0
Missing System 121 5.8
Total  2080 100.0

[Hector Maletta]

         Leslie,
         I think the scale has been formatted to be seen with zero decimals,
and thus the various integers appear several times because each corresponds
to a different decimal (i.e. the various 2s are something like 2.25, 2.40,
2.33, etc.). Try inserting FORMAT S3QB (F8.2) after the COMPUTE command: the
frequency distribution will probably show clearly the frequency of each
fractional value of the scale.
         If this does not work, call again.

         Hector

         -----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of
Leslie
Sent: 07 August 2007 19:03
To: [hidden email]
Subject: Compute Mean Output Interpretation

         Can someone help me understand what to do with the output from the
         following syntax (both embedded below)?  I have a 10 item scale and
will
         keep a record if the respondent answered 8 or more of the items.
The
         output with multiple listings of the same value is not clear to me
( two
         1's, eight 2's, etc), nor how to work with this in later analysis.
Do I
         need to recode? If so, how?
         Thanks for your assistance,
         Leslie


         COMPUTE S3QB = mean.8 (S3Q976_1, S3Q976_2,  S3Q976_3,  S3Q976_4,
         S3Q976_5,  S3Q976_6,  S3Q976_7,
           S3Q976_8,  S3Q976_9,  S3Q976_10) .
         EXECUTE .
         FREQUENCIES
           VARIABLES=S3QB
           /STATISTICS=STDDEV VARIANCE RANGE MINIMUM MAXIMUM SEMEAN MEAN
MEDIAN MODE
           SUM
           /ORDER=  ANALYSIS .



             Frequency Percent Valid Percent Cumulative Percent
         Valid 1 14 .7 .7 .7
          1 2 .1 .1 .8
          2 1 .0 .1 .9
          2 2 .1 .1 1.0
          2 4 .2 .2 1.2
          2 5 .2 .3 1.4
          2 2 .1 .1 1.5
          2 1 .0 .1 1.6
          2 9 .4 .5 2.0
          2 12 .6 .6 2.7
          2 14 .7 .7 3.4
          3 29 1.4 1.5 4.8
          3 1 .0 .1 4.9
          3 36 1.7 1.8 6.7
          3 5 .2 .3 7.0
          3 39 1.9 2.0 9.0
          3 2 .1 .1 9.1
          3 56 2.7 2.9 11.9
          3 1 .0 .1 12.0
          3 3 .1 .2 12.1
          3 74 3.6 3.8 15.9
          3 261 12.5 13.3 29.2
          3 143 6.9 7.3 36.5
          3 5 .2 .3 36.8
          3 132 6.3 6.7 43.5
          3 5 .2 .3 43.8
          3 130 6.3 6.6 50.4
          3 3 .1 .2 50.6
          3 135 6.5 6.9 57.5
          3 3 .1 .2 57.6
          4 139 6.7 7.1 64.7
          4 3 .1 .2 64.9
          4 132 6.3 6.7 71.6
          4 2 .1 .1 71.7
          4 160 7.7 8.2 79.9
          4 1 .0 .1 79.9
          4 139 6.7 7.1 87.0
          4 2 .1 .1 87.1
          4 130 6.3 6.6 93.8
          4 122 5.9 6.2 100.0
          Total 1959 94.2 100.0
         Missing System 121 5.8
         Total  2080 100.0