Just figured this out:

- Create scatterplot as normal except don't click OK at bottom of the dialog box, click Paste.

- This will create a list of text commands to make the plot in the syntax window.

- Near the end of the list is a command point(...).  Change that to point.dodge(...)

- Highlight everything in the syntax window and click the green arrow to run.

I don't use SPSS so not sure if there is a command for this. But you can force your data to jitter by: 1) looking at the number of observations with the same value, and 2) adding or subtracting a small delta value to the points, prior to using a graphical procedure/command.

Paste your data into sigma-plot and increase the resolution of your X-axis....In general, SPSS ain't appropiate for nice art-work. Sigmaplot deals bettern with this type of situations

Alternatively, paste the graph into Powerpoint, ungroup the image and then do what you need to - this has worked for me in the past for graphs produced in SPSS. Just take care not to jiggle your data so that you change the results!

Just figured this out:

- Create scatterplot as normal except don't click OK at bottom of the dialog box, click Paste.

- This will create a list of text commands to make the plot in the syntax window.

- Near the end of the list is a command point(...).  Change that to point.dodge(...)

- Highlight everything in the syntax window and click the green arrow to run.

Can also change point(...) to point.jitter(...) for more jitter, but you must must turn off weighting before the GGRAPH command or it will error out (see below)

* Chart Builder.

weight off.

GGRAPH

  /GRAPHDATASET NAME="graphdataset" VARIABLES=Age2 MeanRT Sub MISSING=LISTWISE REPORTMISSING=NO

  /GRAPHSPEC SOURCE=INLINE.

BEGIN GPL

  SOURCE: s=userSource(id("graphdataset"))

  DATA: Age2=col(source(s), name("Age2"), unit.category())

  DATA: MeanRT=col(source(s), name("MeanRT"))

  DATA: Sub=col(source(s), name("Sub"), unit.category())

  GUIDE: axis(dim(1), label("Age2"))

  GUIDE: axis(dim(2), label("MeanRT"))

  GUIDE: legend(aesthetic(aesthetic.color.exterior), label("Sub"))

  SCALE: cat(dim(1), include("1.00", "2.00", "3.00"))

  SCALE: linear(dim(2), include(0))

  ELEMENT: point.jitter(position(Age2*MeanRT), color.exterior(Sub))

END GPL.https://stats.idre.ucla.edu/spss/faq/how-can-i-display-overlapping-data-points-on-a-scatterplot/