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SPSS® 12.0 Command Syntax Reference

SPSS® 12.0 Command Syntax Reference

SPSS® 12.0 Command Syntax Reference

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72 ACF<br />

and DIFF subcommands. With seasonal differencing, you can specify the periodicity on the<br />

PERIOD subcommand.<br />

Statistical Output. With the MXAUTO subcommand, you can specify the number of lags for<br />

which you want autocorrelations displayed and plotted, overriding the maximum specified<br />

on TSET. You can also display and plot values only at periodic lags using the SEASONAL subcommand.<br />

In addition to autocorrelations, you can display and plot partial autocorrelations<br />

using the PACF subcommand.<br />

Method of Calculating Standard Errors. You can specify one of two methods of calculating the<br />

standard errors for the autocorrelations on the SERROR subcommand.<br />

Basic Specification<br />

The basic specification is one or more series names.<br />

• For each series specified, ACF automatically displays the autocorrelation value, standard<br />

error, Box-Ljung statistic, and probability for each lag.<br />

• ACF plots the autocorrelations and marks the bounds of two standard errors on the plot.<br />

By default, ACF displays and plots autocorrelations for up to 16 lags or the number of lags<br />

specified on TSET.<br />

• If a method has not been specified on TSET, the default method of calculating the standard<br />

error (IND) assumes the process is white noise.<br />

Subcommand Order<br />

• Subcommands can be specified in any order.<br />

<strong>Syntax</strong> Rules<br />

• VARIABLES can be specified only once.<br />

• Other subcommands can be specified more than once, but only the last specification of<br />

each one is executed.<br />

Operations<br />

• Subcommand specifications apply to all series named on the ACF command.<br />

• If the LN subcommand is specified, any differencing requested on that ACF command is<br />

done on the log-transformed series.<br />

• Confidence limits are displayed in the plot, marking the bounds of two standard errors at<br />

each lag.

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