= SPSS Mult Response =

The '''`MULT RESPONSE`''' command tabulates '''multiple-response sets'''.

<<TableOfContents>>

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== Usage ==

{{{
mult response /groups=FOOBARBAZ (foo to baz (1)) /frequencies=FOOBARBAZ.
mult response /groups=FOOBARBAZ "Foo, bar, and baz" (foo to baz (1)) /frequencies=FOOBARBAZ.
}}}

The '''`/GROUPS`''' subcommand defines the series of variables that represent a '''multiple-dichotomy group''' (nested within parentheses), as well as the value representing a selection (further nested within parentheses). The variable labels from each component variable become the value labels on the created table.

To define a '''multiple-response group''', specify a range of values as `(MIN,MAX)`. (This is useful if, for example, `foo` represents both a selection from a set ''as well as'' a category or rank.) The value labels from the first component variable become the value labels on the created table.

The optional label can be up to 40 characters long.



=== Variables ===

The '''`/VARIABLES`''' subcommand specifies numeric variables that should be additionally tabulated. This subcommand must follow the `/GROUPS` subcommand.

Variables must be specified with a range of valid values, so that the same number of cells can be allocated across the multiple-response set. The range is specified as `(MIN,MAX)`.

{{{
mult response
  /groups=FOOBARBAZ (foo to baz (1))
  /variables=ham (1,2) spam eggs (1,5)
  /table=FOOBARBAZ by ham spam eggs.
}}}

Note that values are truncated to integers for all tabulations.



=== Frequencies ===

The '''`/FREQUENCIES`''' subcommand creates a tabulation. To tabulate any variable other than one created on the `/GROUP` subcommand, add a `/VARIABLES` subcommand first.



=== Tables ===

The '''`/TABLES`''' subcommand creates a cross-tabulation. To tabulate any variable other than a multiple response group, add a `/VARIABLES` subcommand first.

By default, when two multiple response groups are cross-tabulated, SPSS will tabulate each component variable in the first group by each component variable in the second group and sum the counts for each cell. In other words, responses are potentially counted multiple times.

If instead two multiple response groups should be pair-wise cross-tabulated, add the '''`(PAIRED)`''' option.

{{{
mult response /groups=FOOBARBAZ (foo to baz (1)) HAMSPAMEGGS (ham spam eggs (1))
  /tables=FOOBARBAZ by HAMSPAMEGGS (paired).
}}}



=== Cells ===

The default '''`/CELLS`''' subcommand is `/CELLS=COUNT`. This causes table cells to be populated with counts of observations.

Options are:

||'''Name'''  ||'''Effect'''                  ||
||`COUNT`     ||count                         ||
||`ROW`       ||row percent                   ||
||`COLUMN`    ||column percent                ||
||`TOTAL`     ||table percent                 ||
||`ALL`       ||all of the above              ||

If the `/CELLS` subcommand is specified without any options, the `COUNT`, `ROW`, `COLUMN`, and `TOTAL` options are selected automatically.



=== Missing ===

By default, SPSS will exclude observations with a user missing value for a tabulated variable even when the user missing value is included in the value range. Add the '''`/MISSING=TABLE`''' subcommand to explicitly allow this behavior, or add '''`/MISSING=INCLUDE`''' subcommand to disable it.

Add the '''`/MISSING=MDGROUP`''' subcommand to exclude cases with any missing values among the component variables of a multiple-dichotomy group.

Add the '''`/MISSING=MCGROUP`''' subcommand to exclude cases with any missing values among the component variables of a multiple-category group.



=== Base ===

By default, SPSS will use the number of observations included in a table as the base for computing percentages. This means that any respondent without a single response counted is excluded from the base.

If the `PAIRED` option is set, SPSS will instead use the number of responses counted the table as the base for computing percentages.

To explicitly use the first strategy, add the '''`/BASE=CASES`''' subcommand. To explicitly use the second strategy, add the '''`/BASE=RESPONSES`''' subcommand.

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== Data Model ==

The `MULT RESPONSE` command causes all pending transformations to execute, and reads the active dataset. 



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