I think I’ve used at least a dozen different statistics packages since my first stats class.
The first one you learn is the hardest to learn. There are many similarities in the logic and wording they use even if the interface is different. So once you’re learned one, it will be easier to learn the next one.Ģ. This will come in handy for a number of reasons If you have the self discipline to do it, I suggest learning two software packages at the beginning. – My favorite stat package for a while was BMDP. I’m not sure if they stopped producing or updating it, but my university cancelled their site license. – Many schools offer only a site license for only one package, and it may not be the one you’re used to. When I was at Cornell, they offered site licenses for 5 packages.
But when a new stats professor decided to use JMP instead of Minitab, guess what happened to the Minitab site license? Unless you’re sure you’ll never leave your current university, you may have to start over. – In case you decide to outwit the powers-that-be in IT who control the site licenses and buy your own (or use R, which is free), no software package does every type of analysis. There is huge overlap, to be sure, and the major ones are much more comprehensive than they were even 5 years ago. Even so, the gaps are in the most complicated analyses–some mixed models, gee, complex sampling, etc. And when you’re trying to learn a new, highly complicated statistical method is not the time to learn a new, highly complicated stats package.įor these reasons, I recommend that everyone who plans to do research for the foreseeable future learn two packages. I know, it’s hard enough to find the time to start over and learn one.
But if you can, it will save you grief later on. There are many great books, online tutorials, and workshops for learning all the major stats packages.īut I also recommend you choose one as your primary package and learn it really, really well. The defaults and assumptions and wording are not the same across packages. Knowing how yours handles dummy coding or missing data is imperative to doing correct statistics. Which one? Mainly it depends on the field you’re in. Social scientists should generally learn SPSS as their main package, mainly because that is what their colleagues are using. You can then choose something else as a backup–either SAS, R, or Stata, based on availability and which makes most sense to you logically.
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