* ONEWAY:: One way analysis of variance.
* RANK:: Compute rank scores.
* REGRESSION:: Linear regression.
+* RELIABILITY:: Reliability analysis.
@end menu
@node DESCRIPTIVES
/BARCHART=@dots{}
/HBAR=@dots{}
/GROUPED=@dots{}
-
-(Integer mode.)
- /VARIABLES=var_list (low,high)@dots{}
@end display
The @cmd{FREQUENCIES} procedure outputs frequency tables for specified
bar charts and output percentiles for grouped data.
The VARIABLES subcommand is the only required subcommand. Specify the
-variables to be analyzed. In most cases, this is all that is required.
-This is known as @dfn{general mode}.
-
-Occasionally, one may want to invoke a special mode called @dfn{integer
-mode}. Normally, in general mode, PSPP will automatically determine
-what values occur in the data. In integer mode, the user specifies the
-range of values that the data assumes. To invoke this mode, specify a
-range of data values in parentheses, separated by a comma. Data values
-inside the range are truncated to the nearest integer, then assigned to
-that value. If values occur outside this range, they are discarded.
+variables to be analyzed.
The FORMAT subcommand controls the output format. It has several
possible settings:
/PLOT=@{BOXPLOT, NPPLOT, HISTOGRAM, ALL, NONE@}
/CINTERVAL n
/COMPARE=@{GROUPS,VARIABLES@}
- /ID=@{case_number, var_name@}
+ /ID=var_name
/@{TOTAL,NOTOTAL@}
/PERCENTILE=[value_list]=@{HAVERAGE, WAVERAGE, ROUND, AEMPIRICAL, EMPIRICAL @}
/MISSING=@{LISTWISE, PAIRWISE@} [@{EXCLUDE, INCLUDE@}]
each containing one boxplot per dependent variable.
If the /COMPARE subcommand is ommitted, then PSPP uses the default value of
/COMPARE=GROUPS.
+
+The ID subcommand also pertains to boxplots. If given, it must
+specify a variable name. Outliers and extreme cases plotted in
+boxplots will be labelled with the case from that variable. Numeric or
+string variables are permissible. If the ID subcommand is not given,
+then the casenumber will be used for labelling.
The CINTERVAL subcommand specifies the confidence interval to use in
calculation of the descriptives command. The default it 95%.
ONEWAY
[/VARIABLES = ] var_list BY var
/MISSING=@{ANALYSIS,LISTWISE@} @{EXCLUDE,INCLUDE@}
- /CONTRASTS= value1 [, value2] ... [,valueN]
+ /CONTRAST= value1 [, value2] ... [,valueN]
/STATISTICS=@{DESCRIPTIVES,HOMOGENEITY@}
@end display
variables and their groups.
@end itemize
-The @code{CONTRASTS} subcommand is used when you anticipate certain
+The @code{CONTRAST} subcommand is used when you anticipate certain
differences between the groups.
The subcommand must be followed by a list of numerals which are the
coefficients of the groups to be tested.
groups (or values of the independent variable).
If the total sum of the coefficients are not zero, then PSPP will
display a warning, but will proceed with the analysis.
-The @code{CONTRASTS} subcommand may be given up to 10 times in order
+The @code{CONTRAST} subcommand may be given up to 10 times in order
to specify different contrast tests.
@setfilename ignored
INCLUDE means they are to be included. The default is EXCLUDE.
@include regression.texi
+
+
+@node RELIABILITY
+@section RELIABILITY
+
+@vindex RELIABILITY
+@display
+RELIABILITY
+ /VARIABLES=var_list
+ /SCALE (@var{name}) = @{var_list, ALL@}
+ /MODEL=@{ALPHA, SPLIT[(N)]@}
+ /SUMMARY=@{TOTAL,ALL@}
+ /MISSING=@{EXCLUDE,INCLUDE@}
+@end display
+
+@cindex Cronbach's Alpha
+The @cmd{RELIABILTY} command performs reliablity analysis on the data.
+
+The VARIABLES subcommand is required. It determines the set of variables
+upon which analysis is to be performed.
+
+The SCALE subcommand determines which variables reliability is to be
+calculated for. If it is omitted, then analysis for all variables named
+in the VARIABLES subcommand will be used.
+Optionally, the @var{name} parameter may be specified to set a string name
+for the scale.
+
+The MODEL subcommand determines the type of analysis. If ALPHA is specified,
+then Cronbach's Alpha is calculated for the scale. If the model is SPLIT,
+then the variables are divided into 2 subsets. An optional parameter
+@var{N} may be given, to specify how many variables to be in the first subset.
+If @var{N} is omitted, then it defaults to one half of the variables in the
+scale, or one half minus one if there are an odd number of variables.
+The default model is ALPHA.
+
+By default, any cases with user missing, or system missing values for
+any variables given
+in the VARIABLES subcommand will be omitted from analysis.
+The MISSING subcommand determines whether user missing values are to
+be included or excluded in the analysis.
+
+The SUMMARY subcommand determines the type of summary analysis to be performed.
+Currently there is only one type: SUMMARY=TOTAL, which displays per-item
+analysis tested against the totals.
+
+
+
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