![]() ![]() In fact the diversity and number of software packages and available websites is so large, that reviewing all of them would be a full-time job! A good example is the sample size software G*Power, which can be downloaded here: Again, some are commercial, but others can be freely downloaded. There are also many specialised software programs for things like graphs, sample size calculations, and genetic analyses. There are also many websites where you can undertake online statistical analyses. For example, PSPP is a clone of SPSS, and can be downloaded here: In addition, there are several free statistical packages available from the internet. There are many commercial statistical packages available, some of which UniSA has licenses for. A really good and free data entry program is EpiData Entry provided by CDC Atlanta. This has the advantage of being able to put things like range checks on data entry fields, so for example, if a data entry field should only have a 0 or 1 entered, if you try and put anything else, it won’t let you. A final solution is to use specialised data entry software. SurveyMonkey has the facility to convert the data into an Excel spreadsheet or SPSS format. Another solution is to use software like SurveyMonkey ( ) to collect the data. Secondly, you can always enter data directly into a statistical package, since they nearly all have some form of inbuilt spreadsheet. The good news is that most statistical software can read data directly from an Excel spreadsheet, so using Excel is often the easiest solution. However, before we start looking at these, a question that often arises is “How do I get my data into a statistical package?”. In addition, there are a multitude of statistical software packages available that can do a lot of the work for you – and these are the focus of this current module. If you would like face-to-face assistance, then information about biostatistical support can be found here: There is lots of support available to make you more comfortable with undertaking statistical analyses, including this online course, biostatistical consultants, websites, Youtube tutorials, and even MOOC courses. However, there really is no need to panic. Further – let’s face it, mathematics and statistics are conceptually difficult. ![]() ![]() This is because mathematics and statistics are often poorly taught at school, and barely covered during undergraduate training. This was also open sourced to give everyone access to modify the software for their own personal needs.For many students, the thought of having to undertake statistical analyses is uncomfortable. The restrictions that were imposed by the licensing of SPSS encouraged the developer make an alternative to the software which was almost identical. PSPP project has been around for quite some time now, and was originally known as " Fiasco" in it's originally form as was always intended as being a replacement for the well known SPSS, a data management and analysis tool, as a free option of the software. PSPP uses libraries that can be accessed programmatically. The software is able to important Gnumeric and OpenDocument spreadsheets, comma separated values, Postgres databases, and ASCII files as well as export in the SPSS portable and system file formats, while also to ASCII files. These include pie charts, histograms, and np charts. At the command of the user, the statistical output and graphics are available in ASCII, HTML, PDF, PostScript, and SVG formats, which allows a range of statistical graphs to be produced. PSPP, the software itself, provides it's users a basic set of capabilities such as frequencies, logistic regression, reliability, linear regression, factor analysis, principal components analysis, and more. PSPP uses the GNU scientific library for its mathematical routines while also being written in C. To make it easier for users to use, it has a graphical user interface and a conventional command line interface. A free software for analysis of sampled data, PSPP is intended as a free alternative for IBM SPSS Statistics. ![]()
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