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Author Topic: Stats Software  (Read 7634 times)
august_leo
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« on: October 10, 2007, 07:46:07 AM »

Hi everyone.

I used to use STATVIEW and loved it. I could use it in my sleep. Now that my new mac can't run OS9 I am considering installing bootcamp and running it on a PC but can't find a copy anywhere. Any one have an idea?

I've been trying to use SPSS, which I hate. But I am willing to change with the times. Except that it KEEPS CRASHING on me.

Anyone use anything else?

Anyone also remember Statview and have any "if you liked that, you'll like" recommendations?

I really need something that can do quick repeated measures  ANOVAs and then split t-tests and other items by condition. I hate that in SPSS every time I run analysis x and then want to "just look at the A condition" I have to create a filter and run it again. In statview I just had to highlight the data I didn't want, hit control-E (exclude) and the analysis updated itself.

I'm bummed.
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untenured
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« Reply #1 on: October 10, 2007, 08:20:14 AM »

To the extent that I use any statistics software, I use Stata.  There is Sas as well.

Can anyone explain the differences between these and other packages?  That might help both me and the OP.

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ab_grp
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« Reply #2 on: October 10, 2007, 08:28:19 AM »

I'm not familiar with STATVIEW.  Are you looking for something that's strictly point and click, or are you comfortable with using syntax?
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donstefano
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« Reply #3 on: October 10, 2007, 09:47:21 AM »

If you do many repeat analyses, it's best to learn the syntax in SPSS to save time. Using the SPSS menu is pretty easy, but can become time consuming for certain analyses
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alsorun
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« Reply #4 on: October 10, 2007, 11:07:16 AM »

Only three Statistics software will have a future. They are SAS, Stata and R. In your case, Stata seems the best choice. You will love it. Way superior over SPSS. Much stronger in longitudinal data.
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kohelet
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« Reply #5 on: October 11, 2007, 07:00:57 AM »

Only three Statistics software will have a future. They are SAS, Stata and R. In your case, Stata seems the best choice. You will love it. Way superior over SPSS. Much stronger in longitudinal data.

Alsorun (or anyone else who might know), this might be asking a lot, but would you mind elaborating?  I'm just now learning the trials of longitudinal data analysis in SPSS--very cumbersome.  How is Stata better?
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nardo
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« Reply #6 on: October 11, 2007, 09:36:09 AM »

Only three Statistics software will have a future. They are SAS, Stata and R. In your case, Stata seems the best choice. You will love it. Way superior over SPSS. Much stronger in longitudinal data.

Alsorun (or anyone else who might know), this might be asking a lot, but would you mind elaborating?  I'm just now learning the trials of longitudinal data analysis in SPSS--very cumbersome.  How is Stata better?

SPSS will survive because it is widely integrated into government and industry.
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alsorun
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« Reply #7 on: October 11, 2007, 10:06:20 AM »

The link below is a comprehensive review of SAS, SPSS, Stata by UCLA academic computing center. But the longitudinal data part is outdated for Stata. I will see if I can find more recent reviews.


http://www.ats.ucla.edu/STAT/technicalreports/number1_editedFeb_2_2007/ucla_ATSstat_tr1_1.1_0207.pdf

Only three Statistics software will have a future. They are SAS, Stata and R. In your case, Stata seems the best choice. You will love it. Way superior over SPSS. Much stronger in longitudinal data.

Alsorun (or anyone else who might know), this might be asking a lot, but would you mind elaborating?  I'm just now learning the trials of longitudinal data analysis in SPSS--very cumbersome.  How is Stata better?
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imawakenow
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« Reply #8 on: October 11, 2007, 10:48:17 AM »

Only three Statistics software will have a future. They are SAS, Stata and R. In your case, Stata seems the best choice. You will love it. Way superior over SPSS. Much stronger in longitudinal data.

Alsorun (or anyone else who might know), this might be asking a lot, but would you mind elaborating?  I'm just now learning the trials of longitudinal data analysis in SPSS--very cumbersome.  How is Stata better?

SPSS will survive because it is widely integrated into government and industry.

Yes, as well as academia.
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svendimilo
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« Reply #9 on: October 12, 2007, 12:03:07 PM »

Just to mention a couple that others have not: SigmaStat is pretty good, especially for stats novices (it has an "advice" feature that I have found to be helpful), and it's well integrated with SigmaPlot (the best graphing software by far IMO), but it doesn't (or at least didn't used to) do some stuff I need, like covariates.
I have used SYSTAT since back when we worked from the DOS prompt and it has always done everything I asked of it. I find it transparent (after years of use), but some people don't like the interface.
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cogscientist
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« Reply #10 on: October 12, 2007, 12:52:38 PM »

If really you just need to do simple stuff like ANOVAs, perhaps R could work for you. I don't mean that R cannot do complex analyses; but rather that you won't need to go too deeply into the language to run simple repeated measures ANOVAs.

And of course, it's free, open source, and it produces the most beautiful graphs you've ever seen.
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ab_grp
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« Reply #11 on: October 12, 2007, 01:13:59 PM »

R is certainly one of the most versatile, but I would guess it could be intimidating to a researcher not comfortable with syntax or computational statistics.  Although the syntax necessary to perform ANOVAs or similar is very simple, the time and effort to get "up and running" with R itself might be prohibitive. 
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crjuprofsteve
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« Reply #12 on: October 12, 2007, 09:28:49 PM »

LOVE Stata.  I asked my department chair for funds to buy a copy with a limited number of licenses for the university, which he did indeed fund.  Previously, my university only supported SPSS (fine for basic analysis, but more limited in diagnostics and advanced techniques) and SAS (in my opinion, not user friendly).  Stata balances the two nicely - it's a pretty powerful and sophisticated package, and it has both menu-driven and intuitive syntax commands, and an excellent set of documentation.  Use it - you'll love it.   
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nardo
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« Reply #13 on: October 12, 2007, 09:46:29 PM »

I am an old SAS mainframe user.  I liked Systat when it first came out, but once SPSS came out with a Windows-based application I've used it for the basics.  But I like Stata for my hi-end stuff (Tobit and MLE).

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cogito_ergo_ir
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« Reply #14 on: October 12, 2007, 09:59:53 PM »

Speaking of SAS . . .

I've only used JMP a couple times, but I've been fairly impressed with what I've seen. There's a 30-day free trial available @ www.jmp.com.
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