Posted by
Art Kendall on
Nov 04, 2020; 2:23pm
URL: http://spssx-discussion.165.s1.nabble.com/SPSS-warning-from-regression-tp1074315p5739923.html
The purpose of statistics is to make reasoned statements about some
phenomenon. Understanding why data is missing is crucial in the reasoning
behind statements the data is used to support.
Before any analysis is done you should be sure that no $sysmis values exist
in your data. A major advantage of SPSS over other packages is the
distinction between system-missing and user missing.
System-missing in the data means the user has given instructions that the
system cannot obey. This means either
(a) that on input a value cannot be read according to instructions
OR
(b) a transformation cannot be done as instructed, e.g., division by zero,
or square root of a negative number.
System-missing in the results means that some computations in the procedure
cannot be done as iinstructed. These can happen because of user missing
values.
Any $sysmis value means that a user should check on how well (s)he gave
instructions.
some examples of user missing values might be
0 'Possibly ambiguous zero'
-1 'Missing unknown reason'
-2 'Missing all HH this Place & Phase'
-3 'Entry or coding error'
-4 'no people this HH this phase'
-5 'Not a dwelling'
-6 'All zero all HH this Place & Phase'
-10 'Legit filter skip, does not apply'
-11 'Mult Response: missing not first response'
-12 ‘Mult Response: no mentions at all’
-13 ‘None’
-14 ’Do not know’
-15 ‘not computable’
- 999 'invalid longitude or Latitude'
99 'misprinted data gathering instrument'
98 'more than 1 answer'
97 'interviewer mistake'
-1 'no pregnancies because male'
-2 'no pregnancies over 55'
-3 'no pregnancies because under 12'
-4 'refused to answer
-----
Art Kendall
Social Research Consultants
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Art Kendall
Social Research Consultants