You can use IBM SPSS. Trial version can be downloaded from here: http://www-01.ibm.com/software/analytics/spss/downloads.html

If you are concerned you will not finish the analysis within the trial period of a common proprietary software, there are free alternatives that do not expire.

As far as free (not trial) software for statistical analysis goes, it may be hard to go past "R". It is probably worth checking out the website where you can download and read the instructions for installation:

http://www.r-project.org/ .

If you are already familiar with SPSS, you may wish to try PSPP. I have not used PSPP myself, but my understanding is that it is designed to be a free alternative to SPSS with comparable interface and functionality. Download and installation information will be available on the website:

http://www.gnu.org/software/pspp/

Good luck with it.

Thank you very much.

I can recommend you to download XLSTAT trial version for 3o days. it is compatable with Excel and very easy to use and give you a very nice results and plots all in one page with the explanation.

otherwise you can download R software (open source) and then you can download R Commander library to work with Graphic interface.

PSPP is free alternative to SPSS for LINUX, WINDOWS and MAC.

http://www.gnu.org/software/pspp/

others

http://salstat.sourceforge.net/index.php?download

Hi, I have a question for you. Do you want to use one way ANOVA or two ANOVA for your model?

Excel has both the features. Try it.

Hi Alexandra, you can also try MYSTAT, a student version of SYSTAT based on the previous commerical release, it doesn't expire and can handle up to 100 variables. There's also a 30-day trial version of SYSTAT at the same link. http://www.systat.com/MystatProducts.aspx

Bob

I can also recommend R, but till now I've been using Matlab every single time. On the file exchange page, you can find almost any analysis prepared in free to download m-files.

Matlab should be free for you via your university.

Maybe G*Power can also help you for planing the stat. analysis

http://www.gpower.hhu.de

If you want something easily installed and easy to use that you don't intend to continue to use, SOFA statistics is probably best. You can run or download the executable (.exe) installation file. Because it's intended to help you learn, even if you haven't entered your data just click "statistics", select the test you want (the default is ANOVA) and click "configure test". Not only will it provide you with example data but includes a brief summary of whatever test you selected it.

However, ease-of-use comes at a price. If you are going to continue running analyses and want something free, R is as powerful and versatile as any statistical package (t.org). Installation isn't as simple, as R itself is more of a programming language than anything else (part of it's power and flexibility stem from this). But there are ways to make it much easier:

1) RExcel

RExcel basically adds R to Excel, turning into something like SPSS on steroids. To install it follow the instructions here:

http://homepage.univie.ac.at/erich.neuwirth/php/rcomwiki/doku.php?id=wiki:how_to_install

The first step requires installing R itself, which is explained on the page above (alternatively, you can simply download it from http://cran.cnr.berkeley.edu/ ). Then just go from there.

The other advantage of RExcel is that it comes ready made for R Commander (instructions are on the instruction page linked to above). This makes the next recommendation unnecessary unless you don't have Excel.

2) R commander

To install R commander, you have to install R first (http://cran.cnr.berkeley.edu/ ). Then simply open R, go to the "Packages" dropdown menu, select "Install Packages", pick a server from the pop-up menu that is near you, and scroll down the next pop-up menu of packages until you find "Rcmdr". Once it is installed, enter " library(Rcmdr) ".