SPSS is a software package that is used in research. It is one of the most popular statistical packages in the world. SPSS is able to perform highly complicated data manipulation using simple instructions. It is known for its high-quality analysis. With SPSS, data from just about every type of file can be used to generate plots of distributions, charts, and tabulated reports. It is used for determining trends, conducting complex statistical analysis, and descriptive statistics. It is available for both mainframe and personal computers. The reason why SPSS is widely used is because it gives equal importance to qualitative and quantitative data. As much as 85 percent of research scholars rely on SPSS for further analysis that consists of quantitative data. Hence, people believe that the SPSS software should be used for quantitative data rather than qualitative data. However, since SPSS gives equal importance to both data sets, it would not be appropriate that it favors one over the other. There are many advantages of using SPSS in research as mentioned below.

  1. User-Friendly

One of the main advantages of SPSS as compared to other software packages is that it is user-friendly. Even if you are beginner, you can easily use the package for conducting research. Moreover, it has the potential to handle large data sets. You can rest assured that SPSS will take care of everything. It is designed for beginners that do not have any experience using a statistical software package.

  1. Data Collection and Organization

SPSS is often used by researchers for its data collection tools. Since the data entry screen on SPSS is quite similar to many other spreadsheet software, just about anyone can it for data collection and organization. You can enter all the quantitative data and variables and have the file saved as a data file. It is easy to assign properties to the different variables in SPSS to better organize the data. For instance, a variable can be specified to be a nominal variable and it can store all of that information. Thus, the next time you use the data file, you will notice just how precisely the data has been organized.

  1. Data Output

Once you have collected the data and entered it in SPSS. The output can be created from that data. For instance, a frequency distribution of the data can be created for determining if the dataset has been distributed. The output file items can be exported and used for the research article. This means you get to directly insert the table or graph for your research instead of having to recreate the table or graph. Any statistical analysis is easy on SPSS as there are plenty of charts, methods, and graphs that can be used.


SPSS is extensively used for research. However, if you do not know how to use it but still want to reap its benefits, you should pay someone to do SPSS analysis, SPSS help for students. It will allow you to focus on completing your research.