For technology evolution, data is generated for every little thing and a record is kept which can be useful in the future for organizations. Data analysis is a great part of any organization. It is a process of collecting, cleaning, transforming, and modeling of data. Now the question arises what is statistical data analysis? So, basically, it is a tool that analyses a huge amount of data and then converts them into meaningful information. Both SPSS and Stata are the tools used for statistical data analysis, but they are different in various concepts. Let us learn about that in the further article.
What is SPSS?
SPSS stands for "Statistical Package for Social Science", which was developed by IBM in 1968 and is termed as one of the oldest software. It can handle a large amount of datasets in an efficient manner. It is a quite flexible tool to use. It offers the best user interface. Also, it offers tables and charts for reporting. It works on all Operating systems (WINDOWS, LINUX, and MacOS) and is written in JAVA language.
Advantages
- SPSS is quite easy to use due to its GUI features.
- It is quite popular in the market for its faster and data accurate results, all because of its in-depth analysis of data.
- It keeps track of the location of objects and variables.
- It is quick and easy to learn about this software.
Disadvantages
- It is basically made for large-scale industries as it is quite expensive to use.
- It has a limited storage facility. Also, it has limited functionality.
What is Stata?
Stata is a statistical software developed by StataCorp in 1985. It is used for data manipulation and visualization and is used by many researchers in many fields. It works on all Operating systems (WINDOWS, LINUX, and MacOS). This software does not come with a free version but it does offer a free trial for customers. It was written and implemented in C language. It is termed the most user-friendly data analysis software and is quite popular in the social sciences.
Advantages
- It has a user-friendly interface.
- It is quite easy to learn. Also, there are many resources available on online platforms to learn about this software.
- To use the tool, the user does not need to be an expert researcher.
- It permits the users to manage, analyze, and generate graphical visualizations of data.
Disadvantages
- It is limited to certain types of data.
- It does not offer a free version for use.
Difference between SPSS and Stata
| SPSS | Stata |
---|
Written and Developed | It was created by SPSS Inc in 1968 and later acquired by IBM in 2009. | Stata is developed by StataCorp in 1985. |
---|
Statistical Analysis | It has a strong impact on Statistical analysis and is ideal for the analysis of a large amount of data. | It is weak in statistical analysis as compared to SPSS as it allows only normal analysis procedures. |
---|
Complexity | SPSS can be used for analyses that are complicated. | Stata is not recommended for complicated analysis. |
---|
Applications | It is specialized in the areas of medical and social science. | It is used in the area of econometrics. |
---|
Data Visualization | It is used for complex data management. | It is used for cutting-edge analysis. |
---|
Development | It is used for the construction of the Agile Development Life Cycle. | It is used for large-scale development. |
---|
Companies using | Companies that are using SPSS: - Nike
- ICF
- Edward Jones
- BMO Financial Group
| Companies that are using Stata: - URBAN INSTITUTE
- George Mason University
- Federal Reserve Bank of Philadelphia, Inc.
|
---|
Conclusion
For complex data analysis, SPSS can be used and is a better option if one wants high productivity and outputs in generating data reports, Stata is considered and recommended choice. Both the software have its own advantages and disadvantages and the selection of software totally depends on the user according to their requirements.
Similar Reads
SAS vs SPSS For technology evolution, data is generated for every little thing and a record is kept which can be useful in the future for organizations. Data analysis is a great part of any organization. It is a process of collecting, cleaning, transforming, and modeling of data. Now the question arises what is
3 min read
Sumo Logic vs Splunk The process of reviewing, interpreting, and understanding computer-generated records is log analysis. The tools of log analysis collect, parse, and analyze the data written to log files. Both Sumo Logic and Splunk are the tools, that are a great option for data log analysis. Sumo Logic is a cloud-on
3 min read
Statistical Process Control (SPC) Statistical Process Control (SPC) is a popular methodology for quality control management in software project management. It is the process that allows the use of statistical methods to monitor and control quality control management. The Objective of SPC is to identify primary problems in a process
9 min read
Statistical Testing - Software Engineering Statistical Testing is a testing method whose objective is to work out the undependable software package products instead of discovering errors. check cases are designed for applied mathematics testing with a wholly different objective than those of typical testing. Operation Profile: Different clas
2 min read
SAS Full Form SAS (Statistical Analysis System) is a comprehensive software suite developed by SAS Institute Inc., used globally for advanced analytics, business intelligence, data management, and predictive analytics. Developed between 1966 and 1976, SAS has evolved with advanced statistical techniques, point-an
4 min read