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Importance and benefits of SPSS in research

Updated: Jun 11, 2020

SPSS statistics is a software package used for logical batched and non-batched statistical analysis. This software is one of the most popular statistical packages which can perform highly complex data manipulation and analysis with simple instructions. SPSS can take data from almost any type of file and use them to generate tabulated reports, charts and plots of distributions and trends, descriptive statistics and conduct complex statistical analyses. This packages of program is available for both personal and mainframe computers.

SPSS is beneficial for both qualitative and quantitative data equal importance is been given for both data sets, about 85% of the research scholars carry quantitative data for their further analysis, so the layman thinks that the SPSS software is more beneficial in quantitative data than qualitative one but no SPSS gives equal weight age for both data sets. Even if there are several software’s available in market to analyze quantitative data SPSS is more preferable than other software’s. Since SPSS is user friendly software & ease to use for the beginners and also helps in analysis even when the data set goes larger.

How it is a benefit for research scholars?

Mainly for the research scholars who are versatile in their own core papers and quite weak in software part can prefer SPSS software for their further analysis as SPSS gives a perfect graphical representation and also an appropriate result for the data that has been entered. SPSS is just a drag and drop process which has almost all basic and some advanced statistical analysis which helps the research scholars to easily adapt to this software and can do the analysis part and attain their result.

Applicability of SPSS statistics for data analysis

There are 15 modules IBM SPSS statistics for data analysis according to the research needs.

  • SPSS Exact Tests module enables one to use small samples and still feel confident about the results

  • SPSS forecasting module enables analysts to predict trend and develop forecasts quickly and easily-without being an expert statistician

  • SPSS Missing Values module finds the relationships between any missing values in your own data and other variables. Missing data can seriously affect your models and results. It is used by survey researchers, social scientists, data miners and market researchers to validate data.


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