 SPSS TUTORIALS BASICS ANOVA REGRESSION FACTOR CORRELATION

# Compute A = B = C

## Summary

A great way to dichotomize variables is with a single short compute command. This is also the fastest way to create multi variable filters.

## How Does it Work?

When the structure `COMPUTE A = B = C` is used, SPSS will evaluate whether `(B = C)` is True or False for each case. The outcome variable `A` will be the following

A nice extra here is that the outcome variable `A` is perfect for using with FILTER.

## Multiple Conditions

More complex conditions can be used in a similar vein, such as `COMPUTE FLAG = V1 GT V2 AND V3 = 5.`. This would mean the following:

• If and only if (V1 is larger than V2) and (V3 is 5) will a case have 1 on `FLAG`. If `FLAG` is used as a filter, only these cases will stay active.
• If one or both conditions are not true, 'FLAG' is 0.
• If there's any missing value on V1, V2 or V3, 'FLAG' is also missing.
• The logic is demonstrated by the syntax below.

## SPSS Syntax Examples

*1. Create test data.

data list free/v1 v2.
begin data
1 6 '' 5 3 4 4 3 5 2 6 1
end data.

*2. Flag cases where v1 is greater than (gt) 2.

compute flag.1 = v1 gt 2.

*3. Flag cases where both v1 and v2 gt 2.

compute flag.2 = v1 gt 2 and v2 gt 2.
exe.

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# THIS TUTORIAL HAS 2 COMMENTS:

• ### By Linda Martell on July 15th, 2015

Good

• VeryGood