BetaDiff needs for input:

from sample 1:

      n1: sample size
mean(y1): mean of dependent variable
  sd(y1): standard deviation of dependent variable
mean(x1): mean of independent variable
  sd(x1): standard deviation of independent variable
   corr1: correlation of x1 and y1

from sample 2:

      n2: sample size
mean(y2): mean of dependent variable
  sd(y2): standard deviation of dependent variable
mean(x2): mean of independent variable
  sd(x2): standard deviation of independent variable
   corr2: correlation of x2 and y2

The data needed for input can be obtained with SPSS
by using the commands:

temporary.
select if sample=1. /* selection of sample 1 */
correlation y1 x1
  /missing listwise
  /statistics descriptives.
temporary.
select if sample=2. /* selection of sample 2 */
correlation y2 x2
  /missing listwise
  /statistics descriptives.


The output of BetaDiff contains:

- the unstandardized betas, their standard errors, and
  levels of significance from sample 1 and sample 2
- the 95%-confidence interval of the difference of
  the betas, its standard error, and level of
  significance
- the beta, standard error, 95%-confidence interval and
  level of significance of a model with parallel slopes
- the difference and its 95%-confidence interval,
  standard error, and level of significance of the
  difference of the constants of a model with parallel
  slopes