![]() ![]() However, there are some software packages that are readily available and often used at UniSA, including Microsoft Excel, SPSS, SAS, Stata and R, which will briefly overviewed here. 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. For many students, the thought of having to undertake statistical analyses is uncomfortable. ![]()
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