Statistical tests in a thesis are often considered the scariest aspect of research. However, it does not have to be that way. You can make these tests smooth and easy with the help of the right software. There are many tools available that can help you in statistical testing but it is important that you choose the right one. This article will show you the five best tech tools that are helpful to manage statistical tests in a thesis.
Table of Contents
SPSS:
SPSS is referred as statistical package for the social sciences. It is perhaps the most commonly used statistical tool used in the statistical tests for human behaviour studies. This software has the ability to easily compile graphical depictions of outcomes by using a graphical user interface. It can also easily do parametric and non-parametric analyses by compiling descriptive statistics. This tool gives you the option to generate scripts to do advanced statistical processing or to carry out an automated analysis.
There are many advantages of using SPSS for statistical analysis. This tool gives fast and reliable answers to your research. It is very dynamic as it has useful graphs and tables. There are a lot of people who can access this tool. It is because it gives a wide range of languages so it can be used in many areas of the world. This software also gives very effective data management tools. You do not need much effort in order to use this tool. Moreover, you can use this tool for both qualitative and quantitative data.
R (R Foundation for Statistical Computing):
R is another tool which can be used for statistical tests. It is free software which is used all over the world for human behaviour studies as well as other fields of research. There are many plugins and toolboxes available for a wide range of applications. With the help of this tool, you can simplify data processing in various aspects. This shows that it is a very powerful statistical tool. However, it is important to note that it also has steep learning curves which require coding for proper data processing. But it also comes with proper community engagement and many plugins which can ensure help to the users so that they can use this tool in a better way.
There are various benefits of using R programming in statistical tests. It is an excellent tool for statistical analysis and computing. It is a statistical language which is made by statisticians. Further, it is an open source with a number of various forms of libraries. It also has cross-platform support. This tool is able to support various types of data. This tool is also very efficient in doing web scrapping, data wrangling, and data cleaning. It has very powerful graphics as well.
MATLAB (The Math Works)
You can also use MATLAB for statistical tests in a thesis. It is a programming language and analytical platform which is very common among scientists and engineers for statistical analysis. With R, there was a steep learning path and you needed to make your own code at some points of your analysis. With R, there are also large amounts of toolboxes available which can help to answer the research questions of your thesis. For instance, there is EEGlab to analyze the EEG data. However, MatLab can be very difficult to use. But this tool also gives a high level of flexibility in regard to what to do. However, you need to code what you want to do or you should be able to work on the toolbox you need.
There are various benefits of using MATLAB in statistical tests. With the help of this, you can easily test and implement an algorithm for your statistical analysis in your thesis. You can also easily develop computational codes with this tool. It also allows you to debug easily. This software uses a huge database of algorithms. You can easily process pictures and simulate videos. You can also easily do the symbolic computation in this tool. It has external libraries as well.
GraphPad Prism:
GraphPad is a great software which can be used to manage statistical tests in a thesis. It is premium software which is used in statistics related to many fields. It has a wide range of tools and capabilities which could be used in multiple fields. Also, it is very similar to SPSS. It has scripting options to carry out complex calculations and automate analyses. The majority of work in this tool is done by using GUI. To use this tool for data analysis, you should start from the data table and then simply click the analyze button. This tool will ignore any selection that you have made in the data. You need to choose to analyze data dialogue if you want to process a particular data set.
This software has many features such as data organizing, understandable statistics, nonlinear regression, comprehensive curve fitting and scientific graphing. With the help of a prism, you can easily do some basic statistical analysis tests which are widely used among researchers and by a laboratory. It is because this tool has fewer options for statistical testing than SPSS. However, this tool can make graphics a lot better. Thus, if you are doing a very simple statistical analysis, then I will suggest you use a prism.
Minitab:
Minitab is statistical software which gives a wide range of advanced and basic statistical tools to do various statistical tests for a thesis. It is very similar to prism. You can execute the command through both scripted commands and GUI in this tool. This means it is accessible to both novices and other users who are looking for more complex analysis.
If you are facing any difficulty in using any of the above statistical tools, then I suggest that you look for phd dissertation help.
Conclusion:
The above guide has given you the five useful tools which you can use in statistical tests. It is important that you choose the right tool for your research. If your research does not involve complex analysis, then you should use software with basic statistical tools.
