I've tried PSPP but I've found JASP to be easier and more user-friendly. https://jasp-stats.org/
Just as an aside, both PSPP and JASP are programs you run on a computer if you're looking for something to use though a web browser you might try Radiant
I've tried PSPP but I've found JASP to be easier and more user-friendly. https://jasp-stats.org/
Just as an aside, both PSPP and JASP are programs you run on a computer if you're looking for something to use though a web browser you might try Radiant
It is a very nice idea to use shiny as a GUI for R. I really appreciate and support this.
JASP seems to be an easy to use program for basic analyses including some Bayesian options (which is a plus). PSPP seems to have more options than JASP.
If you have SPSS background you will easily understand PSPP which is also a very easy to use program.
The ratings of both are lower than other well known programs.
I used PSPP software, just to explore it. It is very Similar to SPSS, If you have used SPSS then you will find easy with PSPP too. I must say it's not a very high end software package, but good for general statistics.
I don't know much about PSPP, actually I’m using SPSS but I'm going to check it out for sure! Many scholars are using R also.
You can find more feedback from http://www.methodspace.com/forum/topics/is-pspp-a-good-alternative-to?groupUrl=quantitativeresearch&groupId=2289984%3AGroup%3A11998&id=2289984%3ATopic%3A30736&page=1#comments
Thanks very much Shamji. One of the links provided on your redirect was http://archive09.linux.com/feature/150363 which reviews PSPP. The review is faourable but other comments suggest it is getting a bit outdated and you also need to download gnu software to make it work.
Perhaps this thread is no longer of interest, but I would love to see another package totally replace SPSS, which has become outrageously expensive while not keeping up with advances in some areas of analysis. I think JASP is very promising, but they need to make some things better. For example, I would guess a lot of frustrated SPSS users feel tied to SPSS for factor analysis. However, though JASP offers factor analysis, it uses an obscure technique called minres. They need to implement principal axis and maximum likelihood at a minimum. They do include parallel analysis which is nice. Otherwise, a very neat package that also includes Bayesian options. JASP is still free as far as I know, but I would be willing to pay a reasonable licensing fee if they implemented some better options for their statistical tests.
Thanks for your comments, the thread may have gone quiet for a while but the subject is still of interest. JASP got a few mentions earlier. The overall verdict seems to be that there are satisfactory open access alternatives for basic statistics. SPSS offers more analytical power but nothing that would justify the costs.
Hi, all. This question is reasonably complex because of _why_ people might want to use a given sort of software. PSPP is indended for individuals who already know the SPSS command language, or who have data sets in the SPSS structure. It does not provide a particularly grand array of statistical procedures. If you need free software, R has a massive library of procedures covering every imaginable statistical inquiry; but the command structure is not intuitive and operates at quite a low level (it is as if elected to program in assembly language rather than Perl, say). If you have an institution which will provide software for you, and you are seeking an easy-to-learn command structure, availability across platforms (Mac, Linux, Windows) and a very wide availability of statistical procedures, then I think Stata is your choice. The real question here, then, concerns user needs more than anything else; and if you choose R, be prepared for some initial frustration.
Good point and good advise Mark. Based on my own experience, if you tend to need it a lot then you purchase SPSS. Any requests I get for alternatives are usually from people doing a one-off or occasional research study. It's very helpful to be able to give advance warning on what they will encounter using different software.
I hadn't heard of Stata either so thanks for highlighting it along with its key features. It sounds like it could be a winner.
I think I may have an idea why JASP uses the minres technique. Minres is basically OLS/ULS (ordinary/unweighted least squares). Some others feel (I found a thorough PHD dissertation concluding this) that OLS is the most robust of all EFA techniques. So, perhaps the folks at JASP are just trying to get the maximum bang per programming buck.
I need to take your attentions to another software, namely Jamovi. It is a successor of JASP but I believe it is better in some aspects. It is also free and open source.
I believe that JASP and Jamovi have reached to a level that general statistical analysis is easily done with, and they keep growing. Even complicated analyses like mixed models can be done with them.
BTW, I recommended PSPP to a colleague of mine, and he taught an introductory stats course with PSPP. He seems happy with PSPP (except those scripting issues when one needs to do posthoc tests or even a simple Mann Whitney U test as I remember).