After you have entered the design in ELEDES, you can get a table with the design summary by clicking the "design summary" button (see figure 2 in the previous chapter). We will give an example for the following design:
Figure 7: design example
As you can see in figure 7 there are two independent variables: X1 (blue) and X2 (red). Each variable has two levels. For X1 these are X11 and X12. For X2 these levels are X21 and X22. A combination of these levels gives us four conditions. Every condition receives 25 subjects who are assigned at random. We're dealing with a 2X2 factorial design. In every condition a measure Y is done. Every group gets a mean of 10 and a standard deviation of 2 (no difference between the groups). Figure 8 gives the design summary output:
Figure 8: Design summary
You can leave this window by closing it
or by pressing the green arrow.
By clicking Run the data will be simulated. Depending on the number of dependent and independent variables an the speed of your PC this will take from a few seconds to a few minutes. Figure 9 shows us a fragment of the output we became with the example in figure 7.
Figure 9: output example
The first column (CaseNo; in
indicates the case number. The second column (Member) indicates the subject number
for each condition. The next columns contain the variables. In this example Var1
and Var2 are the independent variables. The numbers are identical to the index
we see in figure 7. Var3 contains the simulated data for the dependent variable
Y. Read how to save the data in the next subchapter: file type.
You can leave this window by pressing the green arrow.
When you click the "save"
button (icon with floppy) you can see in figure 9, you can save the data in a comma separated text
file which is given the extension .xls. If you double click the saved file it
will be opened automatically in Microsoft Excel. Saving this file in the real
excel format makes it possible to import the file in SPSS.
Opening the ELEDES output file in SPSS directly could be possible but would take more time and effort. An alternative would be to open the excel file and copy/paste the data into a SPSS data sheet.