You might want to try Jamovi or JASP. Whereas both are free, powerful, lightweight options and very userfriendly, the latter also incorporates many Bayesian options to analyze data.

As a positive side-effect both allow you to view the R-code ob which they are running. So these are also a good start to learn R.

John B. Collins Agreeing with Sven Greving, Jamovi, and JASP are really good alternatives of SPSS. However, when it comes to the accuracy and reliability of results from either of JASP, Jamovi, PSPP, or SPSS, I didn't find any differences when compared the results produced by Jamovi, JASP, and SPSS for exploratory factor analysis and multiple linear regression run on the same dataset in thrice of them.

PSPP is good. I recommend.

Hello, I have worked with JMP, which is a relative of SAS, it is easy to use, I have also worked with realstatistics in excel and with Jamovi that comes from R.

I encourage you to first check the presence of the statistical methods you need in PSPP, I believe that PSPP does not include all the methods included in SPSS and cannot be extended by "packages". If PSPP turns out to be insufficient for your needs, I think R and its associated software are good options.

Thanks everyone for the advice. I hadn't heard of any of those before and will definitely check them out. In your experience, have you ever heard of publishers being reluctant to publish an article based on the author using open-source stats programs like these?

R is one of the main statistical software so no problem for publications. The accompanying software are mostly script generators (I forgot to add RCommander in my previous message) or development environments (RStudio) so no problem either.

As for PPSP, I can't be completely sure because I have never used it in an article but as long as it is a re-developed version of SPSS I think it's ok to.

Yes John,

You can use this software as a trial. Most of the functions are working same as SPSS. Go for it.